diff --git a/README.md b/README.md
index 937edbe2050ed515a108f7dc64990377c14ca394..959d46ec311c88ec0786d6525e9e8d1f7a9619a6 100644
--- a/README.md
+++ b/README.md
@@ -1,11 +1,20 @@
+[
](README_en.md) [
](README.md)
+
# DeepSparkHub
-DeepSparkHub甄选上百个应用算法和模型，覆盖AI和通用计算各领域，支持主流市场智能计算场景，包括智慧城市、数字个人、医疗、教
-育、通信、能源等多个领域。
+
+
+
+DeepSparkHub甄选上百个应用算法和模型，覆盖AI和通用计算各领域，支持主流市场智能计算场景，包括智慧城市、数字个人、医疗、教育、通信、能源等多个领域。
-## 模型列表
+## 模型库
-### LLM (Large Language Model)
+### 大语言模型（LLM）
| Model | Framework | ToolBox | Dataset/Weight | IXUCA SDK |
|-------------------------------------------------------|-----------|--------------------|------------------------|-----------|
@@ -38,9 +47,9 @@ DeepSparkHub甄选上百个应用算法和模型，覆盖AI和通用计算各领
| [Yi-1.5-6B](nlp/llm/Yi-1.5-6B/pytorch) | PyTorch | DeepSpeed | Yi-1.5-6B | 4.2.0 |
| [Yi-VL-6B](nlp/llm/Yi-VL-6B/pytorch) | PyTorch | LLaMA-Factory | Yi-VL-6B-hf | 4.2.0 |
-### Computer Vision
+### 计算机视觉（CV）
-#### Classification
+#### 视觉分类
| Model | Framework | Dataset | IXUCA SDK |
|-------------------------------------------------------------------------------|--------------|----------|-------|
@@ -111,13 +120,13 @@ DeepSparkHub甄选上百个应用算法和模型，覆盖AI和通用计算各领
| [Xception](cv/classification/xception/paddlepaddle) | PaddlePaddle | ImageNet | 3.1.0 |
| [Xception](cv/classification/xception/pytorch) | PyTorch | ImageNet | 2.2.0 |
-#### Face Detection
+#### 人脸检测
| Model | Framework | Dataset | IXUCA SDK |
|----------------------------------------------------|-----------|------------|-------|
| [RetinaFace](cv/face_detection/retinaface/pytorch) | PyTorch | WIDER FACE | 3.0.0 |
-#### Face Recognition
+#### 人脸识别
| Model | Framework | Dataset | IXUCA SDK |
|---------------------------------------------------------|--------------|--------------------|-------|
@@ -127,7 +136,7 @@ DeepSparkHub甄选上百个应用算法和模型，覆盖AI和通用计算各领
| [FaceNet](cv/face_recognition/facenet/pytorch) | PyTorch | CASIA-WebFaces&LFW | 3.0.0 |
| [FaceNet](cv/face_recognition/facenet/tensorflow) | TensorFlow | CASIA-WebFaces&LFW | 3.1.0 |
-#### Instance Segmentation
+#### 实例分割
| Model | Framework | Dataset | IXUCA SDK |
|-----------------------------------------------------|--------------|---------|-------|
@@ -136,14 +145,14 @@ DeepSparkHub甄选上百个应用算法和模型，覆盖AI和通用计算各领
| [SOLOv2](cv/instance_segmentation/solov2/pytorch) | PyTorch | COCO | 3.1.0 |
| [YOLACT++](cv/instance_segmentation/yolact/pytorch) | PyTorch | COCO | 3.0.0 |
-#### Image Generation
+#### 图像生成
| Model | Framework | Dataset | IXUCA SDK |
|-----------------------------------------------------|--------------|----------|-------|
| [DCGAN](cv/image_generation/dcgan/mindspore) | MindSpore | ImageNet | 3.0.0 |
| [Pix2Pix](cv/image_generation/pix2pix/paddlepaddle) | PaddlePaddle | facades | 3.1.0 |
-#### Knowledge Distillation
+#### 知识蒸馏
| Model | Framework | Dataset | IXUCA SDK |
|-----------------------------------|-----------|--------------|-------|
@@ -151,7 +160,7 @@ DeepSparkHub甄选上百个应用算法和模型，覆盖AI和通用计算各领
| [RKD](cv/distiller/rkd/pytorch) | PyTorch | CUB-200-2011 | 3.0.0 |
| [WSLD](cv/distiller/wsld/pytorch) | PyTorch | ImageNet | 3.1.0 |
-#### Object Detection
+#### 目标检测
| Model | Framework | Dataset | IXUCA SDK |
|---------------------------------------------------------------|-----------------------|---------|-------|
@@ -198,7 +207,7 @@ DeepSparkHub甄选上百个应用算法和模型，覆盖AI和通用计算各领
| [YOLOv9](cv/detection/yolov9/pytorch) | PyTorch | COCO | 4.1.1 |
| [YOLOv10](cv/detection/yolov10/pytorch) | PyTorch | COCO | 4.1.1 |
-#### 3D Object Detection
+#### 三维目标检测
| Model | Framework | Dataset | IXUCA SDK |
|---------------------------------------------------------------|-----------|------------------|-------|
@@ -214,13 +223,13 @@ DeepSparkHub甄选上百个应用算法和模型，覆盖AI和通用计算各领
| [SECOND](cv/3d_detection/second/pytorch) | PyTorch | KITTI | 4.1.1 |
| [SECOND-IoU](cv/3d_detection/second_iou/pytorch) | PyTorch | KITTI | 4.1.1 |
-#### 3D Reconstruction
+#### 三维重建
| Model | Framework | Dataset | IXUCA SDK |
|---------------------------------------------------|-----------|---------|-------|
| [HashNeRF](cv/3d-reconstruction/hashnerf/pytorch) | PyTorch | fox | 2.2.0 |
-#### GNN (Graph Neural Network)
+#### 图神经网络（GNN）
| Model | Framework | Dataset | IXUCA SDK |
|--------------------------------------------|--------------|--------------------------|-------|
@@ -229,7 +238,7 @@ DeepSparkHub甄选上百个应用算法和模型，覆盖AI和通用计算各领
| [GCN](cv/gnn/GCN/paddlepaddle) | PaddlePaddle | CORA & PubMed & Citeseer | 3.1.0 |
| [GraphSAGE](cv/gnn/graphsage/paddlepaddle) | PaddlePaddle | Reddit | 3.1.0 |
-#### OCR
+#### 光学字符识别（OCR）
| Model | Framework | Dataset | IXUCA SDK |
|------------------------------------------------|--------------|-----------|-------|
@@ -245,13 +254,13 @@ DeepSparkHub甄选上百个应用算法和模型，覆盖AI和通用计算各领
| [SAST](cv/ocr/sast/paddlepaddle) | PaddlePaddle | ICDAR2015 | 3.1.1 |
| [SATRN](cv/ocr/satrn/pytorch/base) | PyTorch | OCR_Recog | 2.2.0 |
-#### Point Cloud
+#### 点云
| Model | Framework | Dataset | IXUCA SDK |
|-------------------------------------------------|-----------|---------------------------------|-------|
| [Point-BERT](cv/point_cloud/point-bert/pytorch) | PyTorch | ShapeNet55 & processed ModelNet | 2.2.0 |
-#### Pose Estimation
+#### 姿态估计
| Model | Framework | Dataset | IXUCA SDK |
|-----------------------------------------|--------------|---------|-------|
@@ -260,13 +269,13 @@ DeepSparkHub甄选上百个应用算法和模型，覆盖AI和通用计算各领
| [HRNet-W32](cv/pose/hrnet/paddlepaddle) | PaddlePaddle | COCO | 3.1.0 |
| [OpenPose](cv/pose/openpose/mindspore) | MindSpore | COCO | 3.1.0 |
-#### Self-Supervised Learning
+#### 自监督学习
| Model | Framework | Dataset | IXUCA SDK |
|------------------------------------------------|-----------|----------|-------|
| [MAE](cv/self_supervised_learning/mae/pytorch) | PyTorch | ImageNet | 3.0.0 |
-#### Semantic Segmentation
+#### 语义分割
| Model | Framework | Dataset | IXUCA SDK |
|----------------------------------------------------------------------|--------------|----------------|-------|
@@ -322,7 +331,7 @@ DeepSparkHub甄选上百个应用算法和模型，覆盖AI和通用计算各领
| [UNet++](cv/semantic_segmentation/unet++/pytorch) | PyTorch | DRIVE | 3.0.0 |
| [VNet](cv/semantic_segmentation/vnet/tensorflow) | TensorFlow | Hippocampus | 3.0.0 |
-#### Super Resolution
+#### 超分辨率
| Model | Framework | Dataset | IXUCA SDK |
|-----------------------------------------------------------|-----------|---------|-------|
@@ -334,7 +343,7 @@ DeepSparkHub甄选上百个应用算法和模型，覆盖AI和通用计算各领
| [TTSR](cv/super_resolution/ttsr/pytorch) | PyTorch | CUFED | 2.2.0 |
| [TTVSR](cv/super_resolution/ttvsr/pytorch) | PyTorch | REDS | 2.2.0 |
-#### Multi-Object Tracking
+#### 多目标跟踪
| Model | Framework | Dataset | IXUCA SDK |
|-------------------------------------------------|--------------|-------------|-------|
@@ -342,7 +351,7 @@ DeepSparkHub甄选上百个应用算法和模型，覆盖AI和通用计算各领
| [DeepSORT](cv/multi_object_tracking/deep_sort/pytorch) | PyTorch | Market-1501 | 3.0.0 |
| [FairMOT](cv/multi_object_tracking/fairmot/pytorch) | PyTorch | MOT17 | 2.2.0 |
-### Multimodal
+### 多模态
| Model | Framework | Dataset | IXUCA SDK |
|---------------------------------------------------------------------------------------------|-----------|----------------|-----------|
@@ -361,21 +370,21 @@ DeepSparkHub甄选上百个应用算法和模型，覆盖AI和通用计算各领
| [Stable Diffusion 3](multimodal/diffusion_model/stable-diffusion-3/pytorch) | PyTorch | dog-example | 4.1.1 |
| [Stable Diffusion XL](multimodal/diffusion_model/stable-diffusion-xl/pytorch) | PyTorch | pokemon-images | 4.1.1 |
-### NLP (Natural Language Processing)
+### 自然语言处理（NLP）
-#### Cloze Test
+#### 完形填空
| Model | Framework | Dataset | IXUCA SDK |
|---------------------------------------------------------|-----------|-----------------------|-------|
| [GLM](nlp/cloze_test/glm/pytorch) | PyTorch | GLMForMultiTokenCloze | 2.2.0 |
-#### Dialogue Generation
+#### 对话生成
| Model | Framework | Dataset | IXUCA SDK |
|--------------------------------------------|-----------|---------|-------|
| [CPM](nlp/dialogue_generation/cpm/pytorch) | PyTorch | STC | 2.2.0 |
-#### Language Modeling
+#### 语言建模
| Model | Framework | Dataset | IXUCA SDK |
|------------------------------------------------------------------|-------------------|--------------------|-------|
@@ -392,13 +401,13 @@ DeepSparkHub甄选上百个应用算法和模型，覆盖AI和通用计算各领
| [RoBERTa](nlp/language_model/roberta_fairseq/pytorch) | PyTorch (Fairseq) | RTE | 3.0.0 |
| [XLNet](nlp/language_model/xlnet/paddlepaddle) | PaddlePaddle | SST-2 | 3.1.0 |
-#### Text Correction
+#### 文本纠错
| Model | Framework | Dataset | IXUCA SDK |
|-------------------------------------------------|--------------|---------|-------|
| [ERNIE](nlp/text_correction/ernie/paddlepaddle) | PaddlePaddle | corpus | 2.3.0 |
-#### Translation
+#### 翻译
| Model | Framework | Dataset | IXUCA SDK |
|----------------------------------------------------------------|-------------------|---------|-------|
@@ -407,15 +416,15 @@ DeepSparkHub甄选上百个应用算法和模型，覆盖AI和通用计算各领
| [Transformer](nlp/translation/transformer/paddlepaddle) | PaddlePaddle | WMT14 | 2.3.0 |
| [Transformer](nlp/translation/transformer_fairseq/pytorch) | PyTorch (Fairseq) | IWSLT14 | 3.0.0 |
-### Reinforcement Learning
+### 强化学习
| Model | Framework | Dataset | IXUCA SDK |
|--------------------------------------------------------------------|--------------|-------------|-------|
| [DQN](reinforcement_learning/q-learning-networks/dqn/paddlepaddle) | PaddlePaddle | CartPole-v0 | 3.1.0 |
-### Audio
+### 语音
-#### Speech Recognition
+#### 语音识别
| Model | Framework | Dataset | IXUCA SDK |
|-----------------------------------------------------------------------------------------|-----------------|----------|-------|
@@ -427,7 +436,7 @@ DeepSparkHub甄选上百个应用算法和模型，覆盖AI和通用计算各领
| [U2++ Conformer](audio/speech_recognition/u2++_conformer_wenet/pytorch) | PyTorch (WeNet) | AISHELL | 3.0.0 |
| [Unified Conformer](audio/speech_recognition/unified_conformer_wenet/pytorch) | PyTorch (WeNet) | AISHELL | 3.0.0 |
-#### Speech Synthesis
+#### 语音合成
| Model | Framework | Dataset | IXUCA SDK |
|-----------------------------------------------------------------------|--------------|-------------|-------|
@@ -437,27 +446,27 @@ DeepSparkHub甄选上百个应用算法和模型，覆盖AI和通用计算各领
| [VQMIVC](audio/speech_synthesis/vqmivc/pytorch) | PyTorch | VCTK-Corpus | 2.2.0 |
| [WaveGlow](audio/speech_synthesis/waveglow/pytorch) | PyTorch | LJSpeech | 2.2.0 |
-### Others
+### 其他
-#### Graph Machine Learning
+#### 图机器学习
| Model | Framework | Dataset | IXUCA SDK |
|----------------------------------------------------------------------|-----------|--------------------|-------|
| [Graph WaveNet](others/graph_machine_learning/graph_wavenet/pytorch) | PyTorch | METR-LA & PEMS-BAY | 2.2.0 |
-#### Kolmogorov-Arnold Networks
+#### 柯尔莫哥洛夫-阿诺德网络（KAN）
| Model | Framework | Dataset | IXUCA SDK |
|------------------------------------------------------|-----------|---------|-------|
| [KAN](others/kolmogorov_arnold_networks/kan/pytorch) | PyTorch | - | 4.1.1 |
-#### Model Pruning
+#### 模型剪枝
| Model | Framework | Dataset | IXUCA SDK |
|-------------------------------------------------------------------|-----------|--------------|-------|
| [Network Slimming](others/model_pruning/network-slimming/pytorch) | PyTorch | CIFAR-10/100 | 3.0.0 |
-#### Recommendation Systems
+#### 推荐系统
| Model | Framework | Dataset | IXUCA SDK |
|-------------------------------------------------------------------|--------------|-----------------|-------|
diff --git a/README_en.md b/README_en.md
new file mode 100644
index 0000000000000000000000000000000000000000..21defa80f98072b79cff0b35119e1597b2b8d5a2
--- /dev/null
+++ b/README_en.md
@@ -0,0 +1,522 @@
+[](README_en.md) [](README.md)
+
+# DeepSparkHub
+
+
+
+
+DeepSparkHub selects more than 300 application algorithms and models, covering various fields of AI and general
+computing. It supports mainstream intelligent computing scenarios in the market, including smart cities, digital
+individuals, healthcare, education, communication, energy, and more.
+
+## ModelZoo
+
+### LLM (Large Language Model)
+
+| Model | Framework | ToolBox | Dataset/Weight | IXUCA SDK |
+|-------------------------------------------------------|-----------|--------------------|------------------------|-----------|
+| [Aquila2-34B](nlp/llm/aquila2-34b/pytorch) | PyTorch | Megatron-DeepSpeed | Bookcorpus | 3.4.0 |
+| [Baichuan2-7B](nlp/llm/baichuan2-7b/pytorch) | PyTorch | DeepSpeed | baichuan2-7b-base | 3.4.0 |
+| [Bloom-7B1](nlp/llm/bloom-7b1/pytorch) | PyTorch | Firefly | school_math_0.25M | 3.4.0 |
+| [ChatGLM-6B](nlp/llm/chatglm-6b/pytorch) | PyTorch | DeepSpeed | ADGEN & chatglm-6b | 3.1.0 |
+| [ChatGLM2-6B SFT](nlp/llm/chatglm2-6b-sft/pytorch) | PyTorch | DeepSpeed | ADGEN & chatglm2-6b | 3.4.0 |
+| [ChatGLM3-6B](nlp/llm/chatglm3-6b/pytorch) | PyTorch | DeepSpeed | ADGEN & chatglm3-6b | 4.1.1 |
+| [DeepSeekMoE 7B](nlp/llm/deepseek_moe_7b/pytorch) | PyTorch | ColossalAI | deepseek-moe-16b-base | 4.1.1 |
+| [GLM-4](nlp/llm/glm-4/pytorch) | PyTorch | Torchrun | glm-4-9b-chat | 4.2.0 |
+| [Llama-7B](nlp/llm/llama-7b/pytorch) | PyTorch | ColossalAI | llama-7b-hf | 3.1.0 |
+| [Llama2-7B](nlp/llm/llama2-7b/pytorch) | PyTorch | Megatron-DeepSpeed | Bookcorpus | 3.1.0 |
+| [Llama2-7B RMF](nlp/llm/llama2-7b_reward_sft/pytorch) | PyTorch | DeepSpeed | Dahoas/rm-static | 3.1.1 |
+| [Llama2-7B RLHF](nlp/llm/llama2-7b_rlhf/pytorch) | PyTorch | Megatron-DeepSpeed | llama2-7b&tiny-llama | 3.4.0 |
+| [Llama2-7B SFT](nlp/llm/llama2-7b_sft/pytorch) | PyTorch | Megatron-DeepSpeed | GPT Small-117M | 3.1.1 |
+| [Llama2-13B](nlp/llm/llama2-13b/pytorch) | PyTorch | Megatron-DeepSpeed | Bookcorpus | 3.4.0 |
+| [Llama2-34B](nlp/llm/llama2-34b/pytorch) | PyTorch | Megatron-DeepSpeed | Bookcorpus | 3.4.0 |
+| [Llama3-8B](nlp/llm/llama3_8b/pytorch) | PyTorch | Megatron-DeepSpeed | Bookcorpus | 4.1.1 |
+| [Llama3-8B SFT](nlp/llm/llama3_8b_sft/pytorch) | PyTorch | ColossalAI | school_math_0.25M | 4.1.1 |
+| [Mamba-2](nlp/llm/mamba-2/pytorch) | PyTorch | Megatron-LM | GPT Small-117M | 4.1.1 |
+| [MiniCPM](nlp/llm/minicpm/pytorch) | PyTorch | DeepSpeed | MiniCPM-2B-sft-bf16 | 4.2.0 |
+| [Mixtral 8x7B](nlp/llm/mixtral/pytorch) | PyTorch | Megatron-LM | GPT Small-117M | 4.1.1 |
+| [Phi-3](nlp/llm/phi-3/pytorch) | PyTorch | Torchrun | Phi-3-mini-4k-instruct | 4.2.0 |
+| [QWen-7B](nlp/llm/qwen-7b/pytorch) | PyTorch | Firefly | qwen-7b | 3.4.0 |
+| [QWen1.5-7B](nlp/llm/qwen1.5-7b/pytorch) | PyTorch | Firefly | school_math | 4.1.1 |
+| [QWen1.5-14B](nlp/llm/qwen1.5-14b/pytorch) | PyTorch | Firefly | school_math | 4.1.1 |
+| [Qwen2.5-7B SFT](nlp/llm/qwen2.5-7b/pytorch) | PyTorch | LLaMA-Factory | qwen2.5-7b | 4.1.1 |
+| [Yi-6B](nlp/llm/Yi-6B/pytorch) | PyTorch | DeepSpeed | Yi-6B | 4.2.0 |
+| [Yi-1.5-6B](nlp/llm/Yi-1.5-6B/pytorch) | PyTorch | DeepSpeed | Yi-1.5-6B | 4.2.0 |
+| [Yi-VL-6B](nlp/llm/Yi-VL-6B/pytorch) | PyTorch | LLaMA-Factory | Yi-VL-6B-hf | 4.2.0 |
+
+### Computer Vision
+
+#### Classification
+
+| Model | Framework | Dataset | IXUCA SDK |
+|-------------------------------------------------------------------------------|--------------|----------|-------|
+| [ACmix](cv/classification/acmix/pytorch) | PyTorch | ImageNet | 2.2.0 |
+| [ACNet](cv/classification/acnet/pytorch) | PyTorch | ImageNet | 3.1.0 |
+| [AlexNet](cv/classification/alexnet/pytorch) | PyTorch | ImageNet | 2.2.0 |
+| [AlexNet](cv/classification/alexnet/tensorflow) | TensorFlow | ImageNet | 3.1.0 |
+| [BYOL](cv/classification/byol/pytorch) | PyTorch | ImageNet | 3.1.0 |
+| [CBAM](cv/classification/cbam/pytorch) | PyTorch | ImageNet | 3.0.0 |
+| [ConvNext](cv/classification/convnext/pytorch) | PyTorch | ImageNet | 2.2.0 |
+| [CspDarknet53](cv/classification/cspdarknet53/pytorch) | PyTorch | ImageNet | 3.0.0 |
+| [DenseNet](cv/classification/densenet/paddlepaddle) | PaddlePaddle | ImageNet | 3.1.0 |
+| [DenseNet](cv/classification/densenet/pytorch) | PyTorch | ImageNet | 2.2.0 |
+| [DPN92](cv/classification/dpn92/pytorch) | PyTorch | ImageNet | 2.2.0 |
+| [DPN107](cv/classification/dpn107/pytorch) | PyTorch | ImageNet | 2.2.0 |
+| [ECA-MobileNetV2](cv/classification/eca_mobilenet_v2/pytorch) | PyTorch | ImageNet | 2.2.0 |
+| [ECA-ResNet152](cv/classification/eca_resnet152/pytorch) | PyTorch | ImageNet | 2.2.0 |
+| [EfficientNetB0](cv/classification/efficientnet_b0/paddlepaddle) | PaddlePaddle | ImageNet | 3.1.0 |
+| [EfficientNetB4](cv/classification/efficientnet_b4/pytorch) | PyTorch | ImageNet | 2.2.0 |
+| [FasterNet](cv/classification/fasternet/pytorch) | PyTorch | ImageNet | 3.0.0 |
+| [GoogLeNet](cv/classification/googlenet/pytorch) | PyTorch | ImageNet | 2.2.0 |
+| [GoogLeNet](cv/classification/googlenet/paddlepaddle) | PaddlePaddle | ImageNet | 2.3.0 |
+| [InceptionV3](cv/classification/inceptionv3/mindspore) | MindSpore | ImageNet | 3.1.0 |
+| [InceptionV3](cv/classification/inceptionv3/pytorch) | PyTorch | ImageNet | 2.2.0 |
+| [InceptionV3](cv/classification/inceptionv3/tensorflow) | TensorFlow | ImageNet | 3.1.0 |
+| [InceptionV4](cv/classification/inceptionv4/pytorch) | PyTorch | ImageNet | 2.2.0 |
+| [InternImage](cv/classification/internimage/pytorch) | PyTorch | ImageNet | 3.1.0 |
+| [LeNet](cv/classification/lenet/pytorch) | PyTorch | ImageNet | 2.2.0 |
+| [MobileNetV2](cv/classification/mobilenetv2/pytorch) | PyTorch | ImageNet | 2.2.0 |
+| [MobileNetV3](cv/classification/mobilenetv3/mindspore) | MindSpore | ImageNet | 3.1.0 |
+| [MobileNetV3](cv/classification/mobilenetv3/pytorch) | PyTorch | ImageNet | 2.2.0 |
+| [MobileNetV3](cv/classification/mobilenetv3/paddlepaddle) | PaddlePaddle | ImageNet | 2.3.0 |
+| [MobileNetV3_Large1.0](cv/classification/mobilenetv3_large_x1_0/paddlepaddle) | PaddlePaddle | ImageNet | 3.1.0 |
+| [MobileOne](cv/classification/mobileone/pytorch) | PyTorch | ImageNet | 3.1.0 |
+| [MoCoV2](cv/classification/mocov2/pytorch) | PyTorch | ImageNet | 3.1.0 |
+| [PP-LCNet](cv/classification/pp-lcnet/paddlepaddle) | PaddlePaddle | ImageNet | 3.1.0 |
+| [RepMLP](cv/classification/repmlp/pytorch) | PyTorch | ImageNet | 3.1.0 |
+| [RepVGG](cv/classification/repvgg/pytorch) | PyTorch | ImageNet | 3.0.0 |
+| [RepVGG](cv/classification/repvgg/paddlepaddle) | PaddlePaddle | ImageNet | 3.0.0 |
+| [RepViT](cv/classification/repvit/pytorch) | PyTorch | ImageNet | 3.1.0 |
+| [Res2Net50_14w_8s](cv/classification/res2net50_14w_8s/paddlepaddle) | PaddlePaddle | ImageNet | 3.1.0 |
+| [ResNeSt14](cv/classification/resnest14/pytorch) | PyTorch | ImageNet | 2.2.0 |
+| [ResNeSt50](cv/classification/resnest50/pytorch) | PyTorch | ImageNet | 2.2.0 |
+| [ResNeSt50](cv/classification/resnest50/paddlepaddle) | PaddlePaddle | ImageNet | 3.0.0 |
+| [ResNeSt101](cv/classification/resnest101/pytorch) | PyTorch | ImageNet | 2.2.0 |
+| [ResNeSt269](cv/classification/resnest269/pytorch) | PyTorch | ImageNet | 2.2.0 |
+| [ResNet18](cv/classification/resnet18/pytorch) | PyTorch | ImageNet | 2.2.0 |
+| [ResNet50](cv/classification/resnet50/pytorch) | PyTorch | ImageNet | 2.2.0 |
+| [ResNet50](cv/classification/resnet50/paddlepaddle) | PaddlePaddle | ImageNet | 2.3.0 |
+| [ResNet50](cv/classification/resnet50/tensorflow) | TensorFlow | ImageNet | 3.0.0 |
+| [ResNet101](cv/classification/resnet101/pytorch) | PyTorch | ImageNet | 2.2.0 |
+| [ResNet152](cv/classification/resnet152/pytorch) | PyTorch | ImageNet | 2.2.0 |
+| [ResNeXt50_32x4d](cv/classification/resnext50_32x4d/mindspore) | MindSpore | ImageNet | 3.1.0 |
+| [ResNeXt50_32x4d](cv/classification/resnext50_32x4d/pytorch) | PyTorch | ImageNet | 2.2.0 |
+| [ResNeXt101_32x8d](cv/classification/resnext101_32x8d/pytorch) | PyTorch | ImageNet | 2.2.0 |
+| [SE_ResNet50_vd](cv/classification/se_resnet50_vd/paddlepaddle) | PaddlePaddle | ImageNet | 3.1.0 |
+| [SEResNeXt](cv/classification/seresnext/pytorch) | PyTorch | ImageNet | 2.2.0 |
+| [ShuffleNetV2](cv/classification/shufflenetv2/paddlepaddle) | PaddlePaddle | ImageNet | 3.1.0 |
+| [ShuffleNetV2](cv/classification/shufflenetv2/pytorch) | PyTorch | ImageNet | 2.2.0 |
+| [SqueezeNet](cv/classification/squeezenet/pytorch) | PyTorch | ImageNet | 2.2.0 |
+| [Swin Transformer](cv/classification/swin_transformer/paddlepaddle) | PaddlePaddle | ImageNet | 3.0.0 |
+| [Swin Transformer](cv/classification/swin_transformer/pytorch) | PyTorch | ImageNet | 2.2.0 |
+| [VGG16](cv/classification/vgg/paddlepaddle) | PaddlePaddle | ImageNet | 2.3.0 |
+| [VGG16](cv/classification/vgg/pytorch) | PyTorch | ImageNet | 2.2.0 |
+| [VGG16](cv/classification/vgg/tensorflow) | TensorFlow | ImageNet | 3.1.0 |
+| [Wave-MLP](cv/classification/wavemlp/pytorch) | PyTorch | ImageNet | 2.2.0 |
+| [Wide_ResNet101_2](cv/classification/wide_resnet101_2/pytorch) | PyTorch | ImageNet | 2.2.0 |
+| [Xception](cv/classification/xception/paddlepaddle) | PaddlePaddle | ImageNet | 3.1.0 |
+| [Xception](cv/classification/xception/pytorch) | PyTorch | ImageNet | 2.2.0 |
+
+#### Face Detection
+
+| Model | Framework | Dataset | IXUCA SDK |
+|----------------------------------------------------|-----------|------------|-------|
+| [RetinaFace](cv/face_detection/retinaface/pytorch) | PyTorch | WIDER FACE | 3.0.0 |
+
+#### Face Recognition
+
+| Model | Framework | Dataset | IXUCA SDK |
+|---------------------------------------------------------|--------------|--------------------|-------|
+| [ArcFace](cv/face_recognition/arcface/pytorch) | PyTorch | CASIA-WebFaces&LFW | 3.0.0 |
+| [BlazeFace](cv/face_recognition/blazeface/paddlepaddle) | PaddlePaddle | WIDER FACE | 3.1.0 |
+| [CosFace](cv/face_recognition/cosface/pytorch) | PyTorch | CASIA-WebFaces&LFW | 3.0.0 |
+| [FaceNet](cv/face_recognition/facenet/pytorch) | PyTorch | CASIA-WebFaces&LFW | 3.0.0 |
+| [FaceNet](cv/face_recognition/facenet/tensorflow) | TensorFlow | CASIA-WebFaces&LFW | 3.1.0 |
+
+#### Instance Segmentation
+
+| Model | Framework | Dataset | IXUCA SDK |
+|-----------------------------------------------------|--------------|---------|-------|
+| [SOLO](cv/instance_segmentation/solo/pytorch) | PyTorch | COCO | 3.0.0 |
+| [SOLOv2](cv/detection/solov2/paddlepaddle) | PaddlePaddle | COCO | 3.0.0 |
+| [SOLOv2](cv/instance_segmentation/solov2/pytorch) | PyTorch | COCO | 3.1.0 |
+| [YOLACT++](cv/instance_segmentation/yolact/pytorch) | PyTorch | COCO | 3.0.0 |
+
+#### Image Generation
+
+| Model | Framework | Dataset | IXUCA SDK |
+|-----------------------------------------------------|--------------|----------|-------|
+| [DCGAN](cv/image_generation/dcgan/mindspore) | MindSpore | ImageNet | 3.0.0 |
+| [Pix2Pix](cv/image_generation/pix2pix/paddlepaddle) | PaddlePaddle | facades | 3.1.0 |
+
+#### Knowledge Distillation
+
+| Model | Framework | Dataset | IXUCA SDK |
+|-----------------------------------|-----------|--------------|-------|
+| [CWD](cv/distiller/cwd/pytorch) | PyTorch | Cityscapes | 3.0.0 |
+| [RKD](cv/distiller/rkd/pytorch) | PyTorch | CUB-200-2011 | 3.0.0 |
+| [WSLD](cv/distiller/wsld/pytorch) | PyTorch | ImageNet | 3.1.0 |
+
+#### Object Detection
+
+| Model | Framework | Dataset | IXUCA SDK |
+|---------------------------------------------------------------|-----------------------|---------|-------|
+| [ATSS](cv/detection/atss_mmdet/pytorch) | PyTorch (MMDetection) | COCO | 3.0.0 |
+| [AutoAssign](cv/detection/autoassign/pytorch) | PyTorch | COCO | 2.2.0 |
+| [Cascade R-CNN](cv/detection/cascade_rcnn_mmdet/pytorch) | PyTorch (MMDetection) | COCO | 3.0.0 |
+| [CenterMask2](cv/detection/centermask2/pytorch) | PyTorch | COCO | 4.1.1 |
+| [CenterNet](cv/detection/centernet/pytorch) | PyTorch | COCO | 2.2.0 |
+| [CenterNet](cv/detection/centernet/paddlepaddle) | PaddlePaddle | COCO | 3.0.0 |
+| [Co-DETR](cv/detection/co-detr/pytorch) | PyTorch | COCO | 3.1.0 |
+| [CornerNet](cv/detection/cornernet_mmdet/pytorch) | PyTorch (MMDetection) | COCO | 3.0.0 |
+| [DCNV2](cv/detection/dcnv2_mmdet/pytorch) | PyTorch (MMDetection) | COCO | 3.0.0 |
+| [DETR](cv/detection/detr/paddlepaddle) | PaddlePaddle | COCO | 3.0.0 |
+| [Faster R-CNN](cv/detection/fasterrcnn/pytorch) | PyTorch | COCO | 2.2.0 |
+| [FCOS](cv/detection/fcos/paddlepaddle) | PaddlePaddle | COCO | 3.0.0 |
+| [FCOS](cv/detection/fcos/pytorch) | PyTorch | COCO | 3.0.0 |
+| [Mamba-YOLO](cv/detection/mamba_yolo/pytorch) | PyTorch | COCO | 4.1.1 |
+| [Mask R-CNN](cv/detection/maskrcnn/pytorch) | PyTorch | COCO | 2.2.0 |
+| [Mask R-CNN](cv/detection/maskrcnn/paddlepaddle) | PaddlePaddle | COCO | 2.3.0 |
+| [OC_SORT](cv/detection/oc_sort/paddlepaddle) | PaddlePaddle | MOT17 | 3.1.0 |
+| [Oriented RepPoints](cv/detection/oriented_reppoints/pytorch) | PyTorch | DOTA | 3.1.0 |
+| [PP-PicoDet](cv/detection/picodet/paddlepaddle) | PaddlePaddle | COCO | 3.1.0 |
+| [PP-YOLOE](cv/detection/pp-yoloe/paddlepaddle) | PaddlePaddle | COCO | 2.3.0 |
+| [PP-YOLOE+](cv/detection/pp_yoloe+/paddlepaddle) | PaddlePaddle | COCO | 3.1.1 |
+| [PVANet](cv/detection/pvanet/pytorch) | PyTorch | COCO | 2.2.0 |
+| [RepPoints](cv/detection/reppoints_mmdet/pytorch) | PyTorch (MMDetection) | COCO | 3.0.0 |
+| [RetinaNet](cv/detection/retinanet/pytorch) | PyTorch | COCO | 2.2.0 |
+| [RetinaNet](cv/detection/retinanet/paddlepaddle) | PaddlePaddle | COCO | 3.0.0 |
+| [RT-DETR](cv/detection/rt-detr/pytorch) | PyTorch | COCO | 4.1.1 |
+| [RTMDet](cv/detection/rtmdet/pytorch) | PyTorch | COCO | 3.1.0 |
+| [SSD](cv/detection/ssd/pytorch) | PyTorch | COCO | 2.2.0 |
+| [SSD](cv/detection/ssd/paddlepaddle) | PaddlePaddle | COCO | 2.3.0 |
+| [SSD](cv/detection/ssd/tensorflow) | TensorFlow | VOC | 3.0.0 |
+| [SSD](cv/detection/ssd/mindspore) | MindSpore | COCO | 3.0.0 |
+| [YOLOF](cv/detection/yolof/pytorch) | PyTorch | COCO | 2.2.0 |
+| [YOLOv3](cv/detection/yolov3/pytorch) | PyTorch | COCO | 2.2.0 |
+| [YOLOv3](cv/detection/yolov3/paddlepaddle) | PaddlePaddle | COCO | 2.3.0 |
+| [YOLOv3](cv/detection/yolov3/tensorflow) | TensorFlow | VOC | 3.0.0 |
+| [YOLOv5](cv/detection/yolov5/paddlepaddle) | PaddlePaddle | COCO | 3.1.1 |
+| [YOLOv5](cv/detection/yolov5/pytorch) | PyTorch | COCO | 2.2.0 |
+| [YOLOv6](cv/detection/yolov6/pytorch) | PyTorch | COCO | 3.0.0 |
+| [YOLOv7](cv/detection/yolov7/pytorch) | PyTorch | COCO | 3.0.0 |
+| [YOLOv8](cv/detection/yolov8/pytorch) | PyTorch | COCO | 3.0.0 |
+| [YOLOv9](cv/detection/yolov9/pytorch) | PyTorch | COCO | 4.1.1 |
+| [YOLOv10](cv/detection/yolov10/pytorch) | PyTorch | COCO | 4.1.1 |
+
+#### 3D Object Detection
+
+| Model | Framework | Dataset | IXUCA SDK |
+|---------------------------------------------------------------|-----------|------------------|-------|
+| [BEVFormer](cv/3d_detection/bevformer/pytorch) | PyTorch | nuScenes&CAN bus | 3.0.0 |
+| [CenterPoint](cv/3d_detection/centerpoint/pytorch) | PyTorch | nuScenes | 3.1.1 |
+| [PAConv](cv/3d_detection/paconv/pytorch) | PyTorch | S3DIS | 3.1.1 |
+| [Part-A2-Anchor](cv/3d_detection/part_a2_anchor/pytorch) | PyTorch | KITTI | 4.1.1 |
+| [Part-A2-Free](cv/3d_detection/part_a2_free/pytorch) | PyTorch | KITTI | 4.1.1 |
+| [PointNet++](cv/3d_detection/pointnet2/pytorch) | PyTorch | S3DIS | 3.0.0 |
+| [PointPillars](cv/3d_detection/pointpillars/pytorch) | PyTorch | KITTI | 3.0.0 |
+| [PointRCNN](cv/3d_detection/pointrcnn/pytorch) | PyTorch | KITTI | 3.1.1 |
+| [PointRCNN-IoU](cv/3d_detection/pointrcnn_iou/pytorch) | PyTorch | KITTI | 4.1.1 |
+| [SECOND](cv/3d_detection/second/pytorch) | PyTorch | KITTI | 4.1.1 |
+| [SECOND-IoU](cv/3d_detection/second_iou/pytorch) | PyTorch | KITTI | 4.1.1 |
+
+#### 3D Reconstruction
+
+| Model | Framework | Dataset | IXUCA SDK |
+|---------------------------------------------------|-----------|---------|-------|
+| [HashNeRF](cv/3d-reconstruction/hashnerf/pytorch) | PyTorch | fox | 2.2.0 |
+
+#### GNN (Graph Neural Network)
+
+| Model | Framework | Dataset | IXUCA SDK |
+|--------------------------------------------|--------------|--------------------------|-------|
+| [GAT](cv/gnn/gat/paddlepaddle) | PaddlePaddle | CORA | 3.1.0 |
+| [GCN](cv/gnn/GCN/mindspore) | MindSpore | CORA & Citeseer | 3.0.0 |
+| [GCN](cv/gnn/GCN/paddlepaddle) | PaddlePaddle | CORA & PubMed & Citeseer | 3.1.0 |
+| [GraphSAGE](cv/gnn/graphsage/paddlepaddle) | PaddlePaddle | Reddit | 3.1.0 |
+
+#### OCR
+
+| Model | Framework | Dataset | IXUCA SDK |
+|------------------------------------------------|--------------|-----------|-------|
+| [CRNN](cv/ocr/crnn/mindspore) | MindSpore | OCR_Recog | 3.1.0 |
+| [CRNN](cv/ocr/crnn/paddlepaddle) | PaddlePaddle | LMDB | 2.3.0 |
+| [DBNet](cv/ocr/dbnet/pytorch) | PyTorch | ICDAR2015 | 3.0.0 |
+| [DBNet++](cv/ocr/dbnetpp/paddlepaddle) | PaddlePaddle | ICDAR2015 | 3.1.1 |
+| [DBNet++](cv/ocr/dbnetpp/pytorch) | PyTorch | ICDAR2015 | 3.1.0 |
+| [PP-OCR-DB](cv/ocr/pp-ocr-db/paddlepaddle) | PaddlePaddle | ICDAR2015 | 2.3.0 |
+| [PP-OCR-EAST](cv/ocr/pp-ocr-east/paddlepaddle) | PaddlePaddle | ICDAR2015 | 3.1.1 |
+| [PSE](cv/ocr/pse/paddlepaddle) | PaddlePaddle | OCR_Recog | 2.3.0 |
+| [SAR](cv/ocr/sar/pytorch) | PyTorch | OCR_Recog | 2.2.0 |
+| [SAST](cv/ocr/sast/paddlepaddle) | PaddlePaddle | ICDAR2015 | 3.1.1 |
+| [SATRN](cv/ocr/satrn/pytorch/base) | PyTorch | OCR_Recog | 2.2.0 |
+
+#### Point Cloud
+
+| Model | Framework | Dataset | IXUCA SDK |
+|-------------------------------------------------|-----------|---------------------------------|-------|
+| [Point-BERT](cv/point_cloud/point-bert/pytorch) | PyTorch | ShapeNet55 & processed ModelNet | 2.2.0 |
+
+#### Pose Estimation
+
+| Model | Framework | Dataset | IXUCA SDK |
+|-----------------------------------------|--------------|---------|-------|
+| [AlphaPose](cv/pose/alphapose/pytorch) | PyTorch | COCO | 3.0.0 |
+| [HRNet](cv/pose/hrnet/pytorch) | PyTorch | COCO | 2.2.0 |
+| [HRNet-W32](cv/pose/hrnet/paddlepaddle) | PaddlePaddle | COCO | 3.1.0 |
+| [OpenPose](cv/pose/openpose/mindspore) | MindSpore | COCO | 3.1.0 |
+
+#### Self-Supervised Learning
+
+| Model | Framework | Dataset | IXUCA SDK |
+|------------------------------------------------|-----------|----------|-------|
+| [MAE](cv/self_supervised_learning/mae/pytorch) | PyTorch | ImageNet | 3.0.0 |
+
+#### Semantic Segmentation
+
+| Model | Framework | Dataset | IXUCA SDK |
+|----------------------------------------------------------------------|--------------|----------------|-------|
+| [3D-UNet](cv/semantic_segmentation/unet3d/pytorch) | PyTorch | kits19 | 2.2.0 |
+| [APCNet](cv/semantic_segmentation/apcnet/pytorch) | PyTorch | Cityscapes | 2.2.0 |
+| [Attention U-net](cv/semantic_segmentation/att_unet/pytorch) | PyTorch | Cityscapes | 3.0.0 |
+| [BiSeNet](cv/semantic_segmentation/bisenet/pytorch) | PyTorch | COCO | 2.2.0 |
+| [BiSeNetV2](cv/semantic_segmentation/bisenetv2/paddlepaddle) | PaddlePaddle | Cityscapes | 3.0.0 |
+| [BiSeNetV2](cv/semantic_segmentation/bisenetv2/pytorch) | PyTorch | Cityscapes | 3.1.1 |
+| [CGNet](cv/semantic_segmentation/cgnet/pytorch) | PyTorch | COCO | 2.2.0 |
+| [ContextNet](cv/semantic_segmentation/contextnet/pytorch) | PyTorch | COCO | 2.2.0 |
+| [DabNet](cv/semantic_segmentation/dabnet/pytorch) | PyTorch | COCO | 2.2.0 |
+| [DANet](cv/semantic_segmentation/danet/pytorch) | PyTorch | COCO | 2.2.0 |
+| [DDRnet](cv/semantic_segmentation/ddrnet/pytorch) | PyTorch | Cityscapes | 3.0.0 |
+| [DeepLabV3](cv/semantic_segmentation/deeplabv3/pytorch) | PyTorch | COCO | 2.2.0 |
+| [DeepLabV3](cv/semantic_segmentation/deeplabv3/paddlepaddle) | PaddlePaddle | Cityscapes | 2.3.0 |
+| [DeepLabV3](cv/semantic_segmentation/deeplabv3/mindspore) | MindSpore | VOC | 3.0.0 |
+| [DeepLabV3+](cv/semantic_segmentation/deeplabv3plus/paddlepaddle) | PaddlePaddle | Cityscapes | 3.0.0 |
+| [DeepLabV3+](cv/semantic_segmentation/deeplabv3plus/tensorflow) | TensorFlow | Cityscapes | 3.1.0 |
+| [DenseASPP](cv/semantic_segmentation/denseaspp/pytorch) | PyTorch | COCO | 2.2.0 |
+| [DFANet](cv/semantic_segmentation/dfanet/pytorch) | PyTorch | COCO | 2.2.0 |
+| [DNLNet](cv/semantic_segmentation/dnlnet/paddlepaddle) | PaddlePaddle | Cityscapes | 2.3.0 |
+| [DUNet](cv/semantic_segmentation/dunet/pytorch) | PyTorch | COCO | 2.2.0 |
+| [EncNet](cv/semantic_segmentation/encnet/pytorch) | PyTorch | COCO | 2.2.0 |
+| [ENet](cv/semantic_segmentation/enet/pytorch) | PyTorch | COCO | 2.2.0 |
+| [ERFNet](cv/semantic_segmentation/erfnet/pytorch) | PyTorch | COCO | 2.2.0 |
+| [ESPNet](cv/semantic_segmentation/espnet/pytorch) | PyTorch | COCO | 2.2.0 |
+| [FastFCN](cv/semantic_segmentation/fastfcn/paddlepaddle) | PyTorch | ADE20K | 3.1.0 |
+| [FastSCNN](cv/semantic_segmentation/fastscnn/pytorch) | PyTorch | COCO | 2.2.0 |
+| [FCN](cv/semantic_segmentation/fcn/pytorch) | PyTorch | COCO | 2.2.0 |
+| [FPENet](cv/semantic_segmentation/fpenet/pytorch) | PyTorch | COCO | 2.2.0 |
+| [GCNet](cv/semantic_segmentation/gcnet/pytorch) | PyTorch | Cityscapes | 2.2.0 |
+| [HardNet](cv/semantic_segmentation/hardnet/pytorch) | PyTorch | COCO | 2.2.0 |
+| [ICNet](cv/semantic_segmentation/icnet/pytorch) | PyTorch | COCO | 2.2.0 |
+| [LedNet](cv/semantic_segmentation/lednet/pytorch) | PyTorch | COCO | 2.2.0 |
+| [LinkNet](cv/semantic_segmentation/linknet/pytorch) | PyTorch | COCO | 2.2.0 |
+| [Mask2Former](cv/semantic_segmentation/mask2former/pytorch) | PyTorch | Cityscapes | 3.1.0 |
+| [MobileSeg](cv/semantic_segmentation/mobileseg/paddlepaddle) | PaddlePaddle | Cityscapes | 3.1.0 |
+| [OCNet](cv/semantic_segmentation/ocnet/pytorch) | PyTorch | COCO | 2.2.0 |
+| [OCRNet](cv/semantic_segmentation/ocrnet/paddlepaddle) | PaddlePaddle | Cityscapes | 3.1.0 |
+| [OCRNet](cv/semantic_segmentation/ocrnet/pytorch) | PyTorch | Cityscapes | 2.2.0 |
+| [PP-HumanSegV1](cv/semantic_segmentation/pp_humansegv1/paddlepaddle) | PaddlePaddle | PP-HumanSeg14K | 3.1.0 |
+| [PP-HumanSegV2](cv/semantic_segmentation/pp_humansegv2/paddlepaddle) | PaddlePaddle | PP-HumanSeg14K | 3.1.0 |
+| [PP-LiteSeg](cv/semantic_segmentation/pp_liteseg/paddlepaddle) | PaddlePaddle | Cityscapes | 3.1.0 |
+| [PSANet](cv/semantic_segmentation/psanet/pytorch) | PyTorch | COCO | 2.2.0 |
+| [PSPNet](cv/semantic_segmentation/pspnet/pytorch) | PyTorch | Cityscapes | 2.2.0 |
+| [RefineNet](cv/semantic_segmentation/refinenet/pytorch) | PyTorch | COCO | 2.2.0 |
+| [SegNet](cv/semantic_segmentation/segnet/pytorch) | PyTorch | COCO | 2.2.0 |
+| [STDC](cv/semantic_segmentation/stdc/paddlepaddle) | PaddlePaddle | Cityscapes | 3.1.0 |
+| [STDC](cv/semantic_segmentation/stdc/pytorch) | PyTorch | Cityscapes | 3.0.0 |
+| [UNet](cv/semantic_segmentation/unet/pytorch) | PyTorch | COCO | 2.2.0 |
+| [UNet](cv/semantic_segmentation/unet/paddlepaddle) | PaddlePaddle | Cityscapes | 2.3.0 |
+| [UNet++](cv/semantic_segmentation/unet++/pytorch) | PyTorch | DRIVE | 3.0.0 |
+| [VNet](cv/semantic_segmentation/vnet/tensorflow) | TensorFlow | Hippocampus | 3.0.0 |
+
+#### Super Resolution
+
+| Model | Framework | Dataset | IXUCA SDK |
+|-----------------------------------------------------------|-----------|---------|-------|
+| [basicVSR++](cv/super_resolution/basicvsr++/pytorch) | PyTorch | REDS | 2.2.0 |
+| [basicVSR](cv/super_resolution/basicvsr/pytorch) | PyTorch | REDS | 2.2.0 |
+| [ESRGAN](cv/super_resolution/esrgan/pytorch) | PyTorch | DIV2K | 2.2.0 |
+| [LIIF](cv/super_resolution/liif/pytorch) | PyTorch | DIV2K | 2.2.0 |
+| [RealBasicVSR](cv/super_resolution/real_basicvsr/pytorch) | PyTorch | REDS | 2.2.0 |
+| [TTSR](cv/super_resolution/ttsr/pytorch) | PyTorch | CUFED | 2.2.0 |
+| [TTVSR](cv/super_resolution/ttvsr/pytorch) | PyTorch | REDS | 2.2.0 |
+
+#### Multi-Object Tracking
+
+| Model | Framework | Dataset | IXUCA SDK |
+|-------------------------------------------------|--------------|-------------|-------|
+| [ByteTrack](cv/multi_object_tracking/bytetrack/paddlepaddle) | PaddlePaddle | MOT17 | 3.1.0 |
+| [DeepSORT](cv/multi_object_tracking/deep_sort/pytorch) | PyTorch | Market-1501 | 3.0.0 |
+| [FairMOT](cv/multi_object_tracking/fairmot/pytorch) | PyTorch | MOT17 | 2.2.0 |
+
+### Multimodal
+
+| Model | Framework | Dataset | IXUCA SDK |
+|---------------------------------------------------------------------------------------------|-----------|----------------|-----------|
+| [BLIP](multimodal/vision-language_model/blip/pytorch) | PyTorch | COCO | 3.1.1 |
+| [CLIP](multimodal/contrastive_learning/clip/pytorch) | PyTorch | CIFAR100 | 2.2.0 |
+| [ControlNet](multimodal/diffusion_model/controlnet/pytorch) | PyTorch | Fill50K | 3.1.0 |
+| [DDPM](multimodal/diffusion_model/ddpm/pytorch) | PyTorch | CIFAR-10 | 3.1.0 |
+| [LLaVA 1.5](multimodal/vision-language_model/llava-1.5/pytorch) | PyTorch | LLaVA-Pretrain | 4.1.1 |
+| [L-Verse](multimodal/vision-language_model/l-verse/pytorch) | PyTorch | ImageNet | 2.2.0 |
+| [MoE-LLaVA-Phi2-2.7B](multimodal/vision-language_model/moe-llava-phi2-2.7b/pytorch) | PyTorch | MoE-LLaVA | 4.2.0 |
+| [MoE-LLaVA-Qwen-1.8B](multimodal/vision-language_model/moe-llava-qwen-1.8b/pytorch) | PyTorch | MoE-LLaVA | 4.2.0 |
+| [MoE-LLaVA-StableLM-1.6B](multimodal/vision-language_model/moe-llava-stablelm-1.6b/pytorch) | PyTorch | MoE-LLaVA | 4.2.0 |
+| [Stable Diffusion 1.4](multimodal/diffusion_model/stable-diffusion-1.4/pytorch) | PyTorch | pokemon-images | 3.0.0 |
+| [Stable Diffusion 1.5](multimodal/diffusion_model/stable-diffusion-1.5/pytorch) | PyTorch | pokemon-images | 4.1.1 |
+| [Stable Diffusion 2.1](multimodal/diffusion_model/stable-diffusion-2.1/pytorch) | PyTorch | pokemon-images | 4.1.1 |
+| [Stable Diffusion 3](multimodal/diffusion_model/stable-diffusion-3/pytorch) | PyTorch | dog-example | 4.1.1 |
+| [Stable Diffusion XL](multimodal/diffusion_model/stable-diffusion-xl/pytorch) | PyTorch | pokemon-images | 4.1.1 |
+
+### NLP (Natural Language Processing)
+
+#### Cloze Test
+
+| Model | Framework | Dataset | IXUCA SDK |
+|---------------------------------------------------------|-----------|-----------------------|-------|
+| [GLM](nlp/cloze_test/glm/pytorch) | PyTorch | GLMForMultiTokenCloze | 2.2.0 |
+
+#### Dialogue Generation
+
+| Model | Framework | Dataset | IXUCA SDK |
+|--------------------------------------------|-----------|---------|-------|
+| [CPM](nlp/dialogue_generation/cpm/pytorch) | PyTorch | STC | 2.2.0 |
+
+#### Language Modeling
+
+| Model | Framework | Dataset | IXUCA SDK |
+|------------------------------------------------------------------|-------------------|--------------------|-------|
+| [BART](nlp/language_model/bart_fairseq/pytorch) | PyTorch (Fairseq) | RTE | 3.0.0 |
+| [BERT NER](nlp/ner/bert/pytorch) | PyTorch | CoNLL-2003 | 3.0.0 |
+| [BERT Pretraining](nlp/language_model/bert/pytorch) | PyTorch | MLCommon Wikipedia | 2.2.0 |
+| [BERT Pretraining](nlp/language_model/bert/paddlepaddle) | PaddlePaddle | MNLI | 2.3.0 |
+| [BERT Pretraining](nlp/language_model/bert/tensorflow) | TensorFlow | MNLI | 3.0.0 |
+| [BERT Pretraining](nlp/language_model/bert/mindspore) | MindSpore | SQuAD | 3.0.0 |
+| [BERT Text Classification](nlp/text_classification/bert/pytorch) | PyTorch | GLUE | 3.0.0 |
+| [BERT Text Summerization](nlp/text_summarisation/bert/pytorch) | PyTorch | cnn_dailymail | 3.0.0 |
+| [BERT Question Answering](nlp/question_answering/bert/pytorch) | PyTorch | SQuAD | 3.0.0 |
+| [GPT2-Medium-EN](nlp/llm/gpt2-medium-en/paddlepaddle) | PaddlePaddle | SST-2 | 3.1.0 |
+| [RoBERTa](nlp/language_model/roberta_fairseq/pytorch) | PyTorch (Fairseq) | RTE | 3.0.0 |
+| [XLNet](nlp/language_model/xlnet/paddlepaddle) | PaddlePaddle | SST-2 | 3.1.0 |
+
+#### Text Correction
+
+| Model | Framework | Dataset | IXUCA SDK |
+|-------------------------------------------------|--------------|---------|-------|
+| [ERNIE](nlp/text_correction/ernie/paddlepaddle) | PaddlePaddle | corpus | 2.3.0 |
+
+#### Translation
+
+| Model | Framework | Dataset | IXUCA SDK |
+|----------------------------------------------------------------|-------------------|---------|-------|
+| [Convolutional](nlp/translation/convolutional_fairseq/pytorch) | PyTorch (Fairseq) | WMT14 | 3.0.0 |
+| [T5](nlp/translation/t5/pytorch) | PyTorch | WMT14 | 2.2.0 |
+| [Transformer](nlp/translation/transformer/paddlepaddle) | PaddlePaddle | WMT14 | 2.3.0 |
+| [Transformer](nlp/translation/transformer_fairseq/pytorch) | PyTorch (Fairseq) | IWSLT14 | 3.0.0 |
+
+### Reinforcement Learning
+
+| Model | Framework | Dataset | IXUCA SDK |
+|--------------------------------------------------------------------|--------------|-------------|-------|
+| [DQN](reinforcement_learning/q-learning-networks/dqn/paddlepaddle) | PaddlePaddle | CartPole-v0 | 3.1.0 |
+
+### Audio
+
+#### Speech Recognition
+
+| Model | Framework | Dataset | IXUCA SDK |
+|-----------------------------------------------------------------------------------------|-----------------|----------|-------|
+| [Conformer](audio/speech_recognition/conformer_wenet/pytorch) | PyTorch (WeNet) | AISHELL | 2.2.0 |
+| [Efficient Conformer v2](audio/speech_recognition/efficient_conformer_v2_wenet/pytorch) | PyTorch (WeNet) | AISHELL | 3.1.0 |
+| [PP-ASR-Conformer](audio/speech_recognition/conformer/paddlepaddle) | PaddlePaddle | AISHELL | 3.1.0 |
+| [RNN-T](audio/speech_recognition/rnnt/pytorch) | PyTorch | LJSpeech | 2.2.0 |
+| [Transformer](audio/speech_recognition/transformer_wenet/pytorch) | PyTorch (WeNet) | AISHELL | 3.0.0 |
+| [U2++ Conformer](audio/speech_recognition/u2++_conformer_wenet/pytorch) | PyTorch (WeNet) | AISHELL | 3.0.0 |
+| [Unified Conformer](audio/speech_recognition/unified_conformer_wenet/pytorch) | PyTorch (WeNet) | AISHELL | 3.0.0 |
+
+#### Speech Synthesis
+
+| Model | Framework | Dataset | IXUCA SDK |
+|-----------------------------------------------------------------------|--------------|-------------|-------|
+| [PP-TTS-FastSpeech2](audio/speech_synthesis/fastspeech2/paddlepaddle) | PaddlePaddle | CSMSC | 3.1.0 |
+| [PP-TTS-HiFiGAN](audio/speech_synthesis/hifigan/paddlepaddle) | PaddlePaddle | CSMSC | 3.1.0 |
+| [Tacotron2](audio/speech_synthesis/tacotron2/pytorch) | PyTorch | LJSpeech | 2.2.0 |
+| [VQMIVC](audio/speech_synthesis/vqmivc/pytorch) | PyTorch | VCTK-Corpus | 2.2.0 |
+| [WaveGlow](audio/speech_synthesis/waveglow/pytorch) | PyTorch | LJSpeech | 2.2.0 |
+
+### Others
+
+#### Graph Machine Learning
+
+| Model | Framework | Dataset | IXUCA SDK |
+|----------------------------------------------------------------------|-----------|--------------------|-------|
+| [Graph WaveNet](others/graph_machine_learning/graph_wavenet/pytorch) | PyTorch | METR-LA & PEMS-BAY | 2.2.0 |
+
+#### Kolmogorov-Arnold Networks
+
+| Model | Framework | Dataset | IXUCA SDK |
+|------------------------------------------------------|-----------|---------|-------|
+| [KAN](others/kolmogorov_arnold_networks/kan/pytorch) | PyTorch | - | 4.1.1 |
+
+#### Model Pruning
+
+| Model | Framework | Dataset | IXUCA SDK |
+|-------------------------------------------------------------------|-----------|--------------|-------|
+| [Network Slimming](others/model_pruning/network-slimming/pytorch) | PyTorch | CIFAR-10/100 | 3.0.0 |
+
+#### Recommendation Systems
+
+| Model | Framework | Dataset | IXUCA SDK |
+|-------------------------------------------------------------------|--------------|-----------------|-------|
+| [DeepFM](others/recommendation_systems/deepfm/paddlepaddle) | PaddlePaddle | Criteo_Terabyte | 2.3.0 |
+| [DLRM](others/recommendation_systems/dlrm/pytorch) | PyTorch | Criteo_Terabyte | 2.2.0 |
+| [DLRM](others/recommendation_systems/dlrm/paddlepaddle) | PaddlePaddle | Criteo_Terabyte | 3.1.0 |
+| [FFM](others/recommendation_systems/ffm/paddlepaddle) | PaddlePaddle | Criteo_Terabyte | 3.1.0 |
+| [NCF](others/recommendation_systems/ncf/pytorch) | PyTorch | movielens | 2.2.0 |
+| [Wide&Deep](others/recommendation_systems/wide_deep/paddlepaddle) | PaddlePaddle | Criteo_Terabyte | 2.3.0 |
+| [xDeepFM](others/recommendation_systems/xdeepfm/paddlepaddle) | PaddlePaddle | Criteo_Terabyte | 3.1.0 |
+
+--------
+
+## How to build container image
+
+You can build a container image that can run models from the DeepSparkHub repository referring to the [How-To-Doc](docker/Iluvatar/README.md).
+
+--------
+
+## Community
+
+### Code of Conduct
+
+Please refer to DeepSpark Code of Conduct on
+[Gitee](https://gitee.com/deep-spark/deepspark/blob/master/CODE_OF_CONDUCT.md) or on
+[GitHub](https://github.com/Deep-Spark/deepspark/blob/main/CODE_OF_CONDUCT.md)。
+
+### Contact
+
+Please contact .
+
+### Contribution
+
+Please refer to the [DeepSparkHub Contributing Guidelines](CONTRIBUTING.md).
+
+### Disclaimers
+
+DeepSparkHub only provides download and preprocessing scripts for public datasets. These datasets do not belong to
+DeepSparkHub, and DeepSparkHub is not responsible for their quality or maintenance. Please ensure that you have the
+necessary usage licenses for these datasets. Models trained based on these datasets can only be used for non-commercial
+research and education purposes.
+
+To dataset owners:
+
+If you do not want your dataset to be published on DeepSparkHub or wish to update the dataset that belongs to you on
+DeepSparkHub, please submit an issue on Gitee or Github. We will delete or update it according to your issue. We
+sincerely appreciate your support and contributions to our community.
+
+## License
+
+This project is released under [Apache-2.0](LICENSE) License。
+ 
+ 
+