# MindSpore Network List `Linux` `Ascend` `GPU` `CPU` `Model Development` `Intermediate` `Expert` [![View Source On Gitee](https://gitee.com/mindspore/docs/raw/r1.3/resource/_static/logo_source.png)](https://gitee.com/mindspore/docs/blob/r1.3/docs/mindspore/note/source_en/network_list_ms.md) ## Model Zoo ### Official | Domain | Sub Domain | Network | Ascend (Graph) | Ascend (PyNative) | GPU (Graph) | GPU (PyNative) | CPU (Graph) | CPU (PyNative)|Ascend 310| |:------ |:------| :----------- |:------: |:------: |:------: |:------: |:-----: |:-----:|:-----:| |Computer Vision (CV) | Image Classification | [AlexNet](https://gitee.com/mindspore/models/tree/r1.3/official/cv/alexnet) | | | ✅ | ✅ | | | | | Computer Vision (CV) | Image Classification | [CNN](https://gitee.com/mindspore/models/tree/r1.3/official/cv/cnn_direction_model) | ✅ | | | | | |✅ | | Computer Vision (CV) | Image Classification | [DenseNet100](https://gitee.com/mindspore/models/tree/r1.3/official/cv/densenet) | | | | | ✅ | ✅ | | | Computer Vision (CV) | Image Classification | [DenseNet121](https://gitee.com/mindspore/models/tree/r1.3/official/cv/densenet) | ✅ | ✅ | ✅ | | | |✅ | | Computer Vision (CV) | Image Classification | [DPN](https://gitee.com/mindspore/models/tree/r1.3/official/cv/dpn) | ✅ | | | | | |✅ | | Computer Vision (CV) | Image Classification | [EfficientNet-B0](https://gitee.com/mindspore/models/tree/r1.3/official/cv/efficientnet) | | | ✅ | ✅ | | | | | Computer Vision (CV) | Image Classification | [GoogLeNet](https://gitee.com/mindspore/models/tree/r1.3/official/cv/googlenet) | ✅ | ✅ | ✅ | ✅ | | |✅ | | Computer Vision (CV) | Image Classification | [InceptionV3](https://gitee.com/mindspore/models/tree/r1.3/official/cv/inceptionv3) | ✅ | | ✅ | |✅ | |✅ | | Computer Vision (CV) | Image Classification | [InceptionV4](https://gitee.com/mindspore/models/tree/r1.3/official/cv/inceptionv4) | ✅ | | ✅ | | ✅ | | | | Computer Vision (CV) | Image Classification | [LeNet](https://gitee.com/mindspore/models/tree/r1.3/official/cv/lenet) | ✅ | ✅ | ✅ | ✅ | ✅ | ✅ |✅ | | Computer Vision (CV) | Image Classification | [LeNet (Quantization)](https://gitee.com/mindspore/models/tree/r1.3/official/cv/lenet_quant) | ✅ | | ✅ | | | |✅ | | Computer Vision (CV) | Image Classification | [MobileNetV1](https://gitee.com/mindspore/models/tree/r1.3/official/cv/mobilenetv1) | ✅ | | ✅ | | ✅ | |✅ | | Computer Vision (CV) | Image Classification | [MobileNetV2](https://gitee.com/mindspore/models/tree/r1.3/official/cv/mobilenetv2) | ✅ | ✅ | | | ✅ | |✅ | | Computer Vision (CV) | Image Classification | [MobileNetV2 (Quantization)](https://gitee.com/mindspore/models/tree/r1.3/official/cv/mobilenetv2_quant) | ✅ | | ✅ | | | |✅ | | Computer Vision (CV) | Image Classification | [MobileNetV3](https://gitee.com/mindspore/models/tree/r1.3/official/cv/mobilenetv3) | | | ✅ | ✅ | ✅ | | | | Computer Vision (CV) | Image Classification | [NASNet](https://gitee.com/mindspore/models/tree/r1.3/official/cv/nasnet) | | | ✅ | ✅ | | | | | Computer Vision (CV) | Image Classification | [ResNet-18](https://gitee.com/mindspore/models/tree/r1.3/official/cv/resnet) | ✅ | | | | | |✅ | | Computer Vision (CV) | Image Classification | [ResNet-50](https://gitee.com/mindspore/models/tree/r1.3/official/cv/resnet) | ✅ | ✅ | ✅ | ✅ | ✅ | |✅ | | Computer Vision (CV) | Image Classification | [ResNet-50 (Quantization)](https://gitee.com/mindspore/models/tree/r1.3/official/cv/resnet50_quant) | ✅ | | | | | | | |Computer Vision (CV) | Image Classification | [ResNet-101](https://gitee.com/mindspore/models/tree/r1.3/official/cv/resnet) | ✅ | ✅ | ✅ | ✅ | | |✅ | |Computer Vision (CV) | Image Classification | [ResNeXt50](https://gitee.com/mindspore/models/tree/r1.3/official/cv/resnext) | ✅ | | ✅ | ✅ | | |✅ | |Computer Vision (CV) | Image Classification | [SE-ResNet50](https://gitee.com/mindspore/models/tree/r1.3/official/cv/resnet) | ✅ | ✅ | | | | |✅ | | Computer Vision (CV) | Image Classification | [ShuffleNetV1](https://gitee.com/mindspore/models/tree/r1.3/official/cv/shufflenetv1) | ✅ | | | | | |✅ | | Computer Vision (CV) | Image Classification | [ShuffleNetV2](https://gitee.com/mindspore/models/tree/r1.3/official/cv/shufflenetv2) | | | ✅ | ✅ | | | | | Computer Vision (CV) | Image Classification | [SqueezeNet](https://gitee.com/mindspore/models/tree/r1.3/official/cv/squeezenet) | ✅ | | | | | |✅ | | Computer Vision (CV) | Image Classification | [Tiny-DarkNet](https://gitee.com/mindspore/models/tree/r1.3/official/cv/tinydarknet) | | | | | ✅ | | | | Computer Vision (CV) | Image Classification | [VGG16](https://gitee.com/mindspore/models/tree/r1.3/official/cv/vgg16) | ✅ | ✅ | ✅ | ✅ | | |✅ | | Computer Vision (CV) | Image Classification | [ResNet-152](https://gitee.com/mindspore/models/tree/r1.3/official/cv/resnet152) | ✅ | ✅ | | | | | | | Computer Vision (CV) | Image Classification | [ResNet-34](https://gitee.com/mindspore/models/tree/r1.3/official/cv/resnet) | ✅ | ✅ | | | | | | | Computer Vision (CV) | Image Classification | [SimCLR](https://gitee.com/mindspore/models/tree/r1.3/official/cv/simclr) | ✅ | ✅ | | | | | | |Computer Vision (CV) | Image Classification | [ResNeXt101](https://gitee.com/mindspore/models/tree/r1.3/official/cv/resnext) | ✅ | | ✅ | ✅ | | |✅ | | Computer Vision (CV) | Face Recognition | [RetinaFace-ResNet50](https://gitee.com/mindspore/models/tree/r1.3/official/cv/retinaface_resnet50) | | | ✅ | ✅ | | | | | Computer Vision (CV) | Object Detection | [CenterFace](https://gitee.com/mindspore/models/tree/r1.3/official/cv/centerface) | ✅ | | | | | |✅ | | Computer Vision (CV) | Object Detection | [CTPN](https://gitee.com/mindspore/models/tree/r1.3/official/cv/ctpn) | ✅ | | | | | |✅ | | Computer Vision (CV) | Object Detection | [Faster R-CNN](https://gitee.com/mindspore/models/tree/r1.3/official/cv/faster_rcnn) | ✅ | | ✅ | | | |✅ | | Computer Vision (CV) | Object Detection | [Mask R-CNN](https://gitee.com/mindspore/models/tree/r1.3/official/cv/maskrcnn) | ✅ | | | | | |✅ | | Computer Vision (CV) | Object Detection | [Mask R-CNN (MobileNetV1)](https://gitee.com/mindspore/models/tree/r1.3/official/cv/maskrcnn_mobilenetv1) | ✅ | | | | | |✅ | | Computer Vision (CV) | Object Detection | [SSD](https://gitee.com/mindspore/models/tree/r1.3/official/cv/ssd) | ✅ | | ✅ | ✅ | ✅ | |✅ | | Computer Vision (CV) | Object Detection | [SSD-MobileNetV1-FPN](https://gitee.com/mindspore/models/tree/r1.3/official/cv/ssd) | ✅ | | | | | |✅ | | Computer Vision (CV) | Object Detection | [SSD-Resnet50-FPN](https://gitee.com/mindspore/models/tree/r1.3/official/cv/ssd) | ✅ | | | | | | | | Computer Vision (CV) | Object Detection | [SSD-VGG16](https://gitee.com/mindspore/models/tree/r1.3/official/cv/ssd) | ✅ | | | | | |✅ | | Computer Vision (CV) | Object Detection | [WarpCTC](https://gitee.com/mindspore/models/tree/r1.3/official/cv/warpctc) | ✅ | | ✅ | | ✅ | |✅ | | Computer Vision (CV) | Object Detection | [YOLOv3-ResNet18](https://gitee.com/mindspore/models/tree/r1.3/official/cv/yolov3_resnet18) | ✅ | | | | | |✅ | | Computer Vision (CV) | Object Detection | [YOLOv3-DarkNet53](https://gitee.com/mindspore/models/tree/r1.3/official/cv/yolov3_darknet53) | ✅ | ✅ | ✅ | ✅ | | |✅ | | Computer Vision (CV) | Object Detection | [YOLOv3-DarkNet53 (Quantization)](https://gitee.com/mindspore/models/tree/r1.3/official/cv/yolov3_darknet53_quant) | ✅ | | | | | |✅ | | Computer Vision (CV) | Object Detection | [YOLOv4](https://gitee.com/mindspore/models/tree/r1.3/official/cv/yolov4) | ✅ | ✅ | | | | | | | Computer Vision (CV) | Object Detection | [CSPDarkNet53](https://gitee.com/mindspore/models/tree/r1.3/official/cv/cspdarknet53) | ✅ | | | | | |✅ | | Computer Vision (CV) | Object Detection | [RetinaNet](https://gitee.com/mindspore/models/tree/r1.3/official/cv/retinanet) | ✅ | | | | | |✅ | | Computer Vision (CV) | Object Detection | [Faster R-CNN-ResnetV1-50](https://gitee.com/mindspore/models/tree/r1.3/official/cv/faster_rcnn) | ✅ | ✅ | | | | | | | Computer Vision (CV) | Object Detection | [Faster R-CNN-ResnetV1-101](https://gitee.com/mindspore/models/tree/r1.3/official/cv/faster_rcnn) | ✅ | ✅ | | | | | | | Computer Vision (CV) | Object Detection | [Faster R-CNN-ResnetV1-152](https://gitee.com/mindspore/models/tree/r1.3/official/cv/faster_rcnn) | ✅ | ✅ | | | | | | | Computer Vision (CV) | Object Detection | [YOLOv5s](https://gitee.com/mindspore/models/tree/r1.3/official/cv/yolov5) | ✅ | ✅ | | | | | | | Computer Vision (CV) | Text Detection | [DeepText](https://gitee.com/mindspore/models/tree/r1.3/official/cv/deeptext) | ✅ | | | | | |✅ | | Computer Vision (CV) | Text Detection | [PSENet](https://gitee.com/mindspore/models/tree/r1.3/official/cv/psenet) | ✅ | ✅ | | | | |✅ | | Computer Vision (CV) | Text Recognition | [CNN+CTC](https://gitee.com/mindspore/models/tree/r1.3/official/cv/cnnctc) | ✅ | ✅ | | | | |✅ | | Computer Vision (CV) | Text Recognition | [CRNN-Seq2Seq-OCR](https://gitee.com/mindspore/models/tree/r1.3/official/cv/crnn_seq2seq_ocr) | ✅ | ✅ | | | | |✅ | | Computer Vision (CV) | Semantic Segmentation | [DeepLabV3](https://gitee.com/mindspore/models/tree/r1.3/official/cv/deeplabv3) | ✅ | | | | ✅ | |✅ | | Computer Vision (CV) | Semantic Segmentation | [U-Net2D (Medical)](https://gitee.com/mindspore/models/tree/r1.3/official/cv/unet) | ✅ | | | | | |✅ | | Computer Vision (CV) | Semantic Segmentation | [U-Net3D (Medical)](https://gitee.com/mindspore/models/tree/r1.3/official/cv/unet3d) | ✅ | | | | | | | | Computer Vision (CV) | Semantic Segmentation | [U-Net++](https://gitee.com/mindspore/models/tree/r1.3/official/cv/unet) | ✅ | | | | | |✅ | | Computer Vision (CV) | Semantic Segmentation | [FCN8s](https://gitee.com/mindspore/models/tree/r1.3/official/cv/FCN8s) | ✅ | | ✅ | | | |✅ | | Computer Vision (CV) | Keypoint Detection | [OpenPose](https://gitee.com/mindspore/models/tree/r1.3/official/cv/openpose) | ✅ | | | | | | | | Computer Vision (CV) | Keypoint Detection | [SimplePoseNet](https://gitee.com/mindspore/models/tree/r1.3/official/cv/simple_pose) | ✅ | | | | | |✅ | | Computer Vision (CV) | Optical Character Recognition | [CRNN](https://gitee.com/mindspore/models/tree/r1.3/official/cv/crnn) | ✅ | | ✅ | | | | | | Computer Vision (CV) | Others | [STGCN](https://gitee.com/mindspore/models/tree/r1.3/official/cv/stgcn) | ✅ | ✅ | | | | | | | Natural Language Processing (NLP) | Natural Language Understanding | [BERT](https://gitee.com/mindspore/models/tree/r1.3/official/nlp/bert) | ✅ | ✅ | ✅ | ✅ | | | | | Natural Language Processing (NLP) | Natural Language Understanding | [FastText](https://gitee.com/mindspore/models/tree/r1.3/official/nlp/fasttext) | ✅ | | ✅ | | | | | | Natural Language Processing (NLP) | Natural Language Understanding | [GNMT v2](https://gitee.com/mindspore/models/tree/r1.3/official/nlp/gnmt_v2) | ✅ | | | | | | | | Natural Language Processing (NLP) | Natural Language Understanding | [GRU](https://gitee.com/mindspore/models/tree/r1.3/official/nlp/gru) | ✅ | | | | | |✅ | | Natural Language Processing (NLP) | Natural Language Understanding | [MASS](https://gitee.com/mindspore/models/tree/r1.3/official/nlp/mass) | Ongoing | | Ongoing | | | |Ongoing | | Natural Language Processing (NLP) | Natural Language Understanding | [SentimentNet](https://gitee.com/mindspore/models/tree/r1.3/official/nlp/lstm) | ✅ | | ✅ | ✅ | ✅ | ✅ |✅ | | Natural Language Processing (NLP) | Natural Language Understanding | [Transformer](https://gitee.com/mindspore/models/tree/r1.3/official/nlp/transformer) | ✅ | ✅ | ✅ | ✅ | | | | | Natural Language Processing (NLP) | Natural Language Understanding | [TinyBERT](https://gitee.com/mindspore/models/tree/r1.3/official/nlp/tinybert) | ✅ | ✅ | ✅ | | | | | | Natural Language Processing (NLP) | Natural Language Understanding | [TextCNN](https://gitee.com/mindspore/models/tree/r1.3/official/nlp/textcnn) | ✅ | | | |✅ | |✅ | | Natural Language Processing (NLP) | Sentiment Analysis | [EmoTect](https://gitee.com/mindspore/models/tree/r1.3/official/nlp/emotect) | ✅ | ✅ | ✅ | | | | | | Natural Language Processing (NLP) | Dialogue | [DGU](https://gitee.com/mindspore/models/tree/r1.3/official/nlp/dgu) | ✅ | ✅ | | | | | | | Recommender | Recommender System, CTR prediction | [DeepFM](https://gitee.com/mindspore/models/tree/r1.3/official/recommend/deepfm) | ✅ | ✅ | ✅ | ✅ | ✅ | |✅ | | Recommender | Recommender System, Search, Ranking | [Wide&Deep](https://gitee.com/mindspore/models/tree/r1.3/official/recommend/wide_and_deep) | ✅ | ✅ | ✅ | ✅ | | |✅ | | Recommender | Recommender System | [NAML](https://gitee.com/mindspore/models/tree/r1.3/official/recommend/naml) | ✅ | | | | | | | | Recommender | Recommender System | [NCF](https://gitee.com/mindspore/models/tree/r1.3/official/recommend/ncf) | ✅ | | | | | |✅ | | Graph Neural Networks (GNN) | Text Classification | [GCN](https://gitee.com/mindspore/models/tree/r1.3/official/gnn/gcn) | ✅ | ✅ | | | | |✅ | | Graph Neural Networks (GNN) | Text Classification | [GAT](https://gitee.com/mindspore/models/tree/r1.3/official/gnn/gat) | ✅ | ✅ | | | | |✅ | | Graph Neural Networks (GNN) | Recommender System | [BGCF](https://gitee.com/mindspore/models/tree/r1.3/official/gnn/bgcf) | ✅ | | | | | |✅ | | Reinforcement Learning | | [DQN](https://gitee.com/mindspore/models/tree/r1.3/official/rl/dqn) | | | ✅ | | | | | ### Research | Domain | Sub Domain | Network | Ascend (Graph) | Ascend (PyNative) | GPU (Graph) | GPU (PyNative)| CPU (Graph) | CPU (PyNative) |Ascend 310| |:------ |:------| :----------- |:------: |:------: |:------: |:------: |:-----: |:-----: |:-----: | | Computer Vision (CV) | Image Classification | [FaceAttributes](https://gitee.com/mindspore/models/tree/r1.3/research/cv/FaceAttribute) | ✅ | ✅ | | | | |✅ | | Computer Vision (CV) | Image Classification | [FaceQualityAssessment](https://gitee.com/mindspore/models/tree/r1.3/research/cv/FaceQualityAssessment) | ✅ | ✅ | ✅ | | ✅ | |✅ | | Computer Vision (CV) | Image Classification | [VGG19](https://gitee.com/mindspore/models/tree/r1.3/research/cv/vgg19) | ✅ | ✅ | | | | | | | Computer Vision (CV) | Image Classification | [ResNetV2-50](https://gitee.com/mindspore/models/tree/r1.3/research/cv/resnetv2) | ✅ | ✅ | ✅ | | | | | | Computer Vision (CV) | Image Classification | [ResNetV2-101](https://gitee.com/mindspore/models/tree/r1.3/research/cv/resnetv2) | ✅ | ✅ | ✅ | | | | | | Computer Vision (CV) | Image Classification | [ResNetV2-152](https://gitee.com/mindspore/models/tree/r1.3/research/cv/resnetv2) | ✅ | ✅ | ✅ | | | Computer Vision (CV) | Image Classification | [SE-Net](https://gitee.com/mindspore/models/tree/r1.3/research/cv/SE-Net) | ✅ | ✅ | | | | | | | Computer Vision (CV) | Image Classification | [SqueezeNet v1.1](https://gitee.com/mindspore/models/tree/r1.3/research/cv/squeezenet1_1) | ✅ | ✅ | | | | | | | Computer Vision (CV) | Face Recognition | [FaceRecognition](https://gitee.com/mindspore/models/tree/r1.3/research/cv/FaceRecognition) | ✅ | | | | | | | Computer Vision (CV) | Face Recognition | [FaceRecognitionForTracking](https://gitee.com/mindspore/models/tree/r1.3/research/cv/FaceRecognitionForTracking) | ✅ | | ✅ | |✅ | |✅ | | Computer Vision (CV) | Face Recognition | [ArcFace](https://gitee.com/mindspore/models/tree/r1.3/research/cv/arcface) | ✅ | ✅ | | | | | | | Computer Vision (CV) | Object Detection | [FaceDetection](https://gitee.com/mindspore/models/tree/r1.3/research/cv/FaceDetection) | ✅ | | ✅ | |✅ | |✅ | | Computer Vision (CV) | Object Detection | [SSD-GhostNet](https://gitee.com/mindspore/models/tree/r1.3/research/cv/ssd_ghostnet) | ✅ | | | | | |✅ | | Computer Vision (CV) | Object Detection | [Retinanet-Resnet101](https://gitee.com/mindspore/models/tree/r1.3/research/cv/retinanet_resnet101) | ✅ |✅ | | | | | | | Computer Vision (CV) | Object Detection | [IBN-Net](https://gitee.com/mindspore/models/tree/r1.3/research/cv/ibnnet) | ✅ |✅ | | | | | | | Computer Vision (CV) | Object Detection | [SSD-ResNet50-FPN](https://gitee.com/mindspore/models/tree/r1.3/research/cv/ssd_resnet50) | ✅ |✅ | | | | | | | Computer Vision (CV) | Object Detection | [WideResNet](https://gitee.com/mindspore/models/tree/r1.3/research/cv/wideresnet) | ✅ |✅ | | | | | | | Computer Vision (CV) | Object Detection | [Inception-ResnetV2](https://gitee.com/mindspore/models/tree/r1.3/research/cv/inception_resnet_v2) | ✅ |✅ | | | | | | | Computer Vision (CV) | Object Detection | [Learning To See In The Dark](https://gitee.com/mindspore/models/tree/r1.3/research/cv/LearningToSeeInTheDark) | ✅ |✅ | | | | | | | Computer Vision (CV) | Object Detection | [MnasNet](https://gitee.com/mindspore/models/tree/r1.3/research/cv/mnasnet) | ✅ |✅ | | | | | | | Computer Vision (CV) | Object Detection | [MobileNetV3 Large](https://gitee.com/mindspore/models/tree/r1.3/research/cv/mobilenetv3_large) | ✅ |✅ | | | | | | | Computer Vision (CV) | Semantic Segmentation | [DeepLabv3+](https://gitee.com/mindspore/models/tree/r1.3/research/cv/deeplabv3plus) | ✅ | ✅ | | | | | | | Computer Vision (CV) | Semantic Segmentation | [HarDNet](https://gitee.com/mindspore/models/tree/r1.3/research/cv/hardnet) | ✅ | ✅ | ✅ | | | | | | Computer Vision (CV) | Semantic Segmentation | [GloRe-Res50](https://gitee.com/mindspore/models/tree/r1.3/research/cv/glore_res50) | ✅ | ✅ | | | | | | | Computer Vision (CV) | Semantic Segmentation | [GloRe-Res200](https://gitee.com/mindspore/models/tree/r1.3/research/cv/glore_res200) | ✅ | ✅ | ✅ | | | | | | Computer Vision (CV) | Semantic Segmentation | [ICNet](https://gitee.com/mindspore/models/tree/r1.3/research/cv/ICNet) | ✅ | ✅ | ✅ | | | | | | Computer Vision (CV) | Key Point Detection | [CenterNet](https://gitee.com/mindspore/models/tree/r1.3/research/cv/centernet) | ✅ | | | | ✅ | | | | Computer Vision (CV) | Key Point Detection | [CenterNet-Det](https://gitee.com/mindspore/models/tree/r1.3/research/cv/centernet_det) | ✅ | ✅ | | | | | | | Computer Vision (CV) | Key Point Detection | [CenterNet-Resnet101](https://gitee.com/mindspore/models/tree/r1.3/research/cv/centernet_resnet101) | ✅ | ✅ | | | | | | | Computer Vision (CV) | Image Style Transfer | [CycleGAN](https://gitee.com/mindspore/models/tree/r1.3/research/cv/CycleGAN) | ✅ | | ✅ | | ✅ | | | | Computer Vision (CV) | Image Generation | [StarGAN](https://gitee.com/mindspore/models/tree/r1.3/research/cv/StarGAN) | ✅ | ✅ | | | | | | | Computer Vision (CV) | Image Generation | [WGAN](https://gitee.com/mindspore/models/tree/r1.3/research/cv/wgan) | ✅ | ✅ | | | | | | | Computer Vision (CV) | Image Generation | [Pix2Pix](https://gitee.com/mindspore/models/tree/r1.3/research/cv/Pix2Pix) | ✅ | ✅ | | | | | | | Computer Vision (CV) | Others | [GENet](https://gitee.com/mindspore/models/tree/r1.3/research/cv/GENet_Res50) | ✅ | ✅ | | | | | | | Computer Vision (CV) | Others | [AutoAugment](https://gitee.com/mindspore/models/tree/r1.3/research/cv/autoaugment) | ✅ | ✅ | | | | | | | Natural Language Processing (NLP) | Natural Language Understanding | [DS-CNN](https://gitee.com/mindspore/models/tree/r1.3/research/nlp/dscnn) | ✅ | ✅ | | | | |✅ | | Natural Language Processing (NLP) | Natural Language Understanding | [TextRCNN](https://gitee.com/mindspore/models/tree/r1.3/research/nlp/textrcnn) | ✅ | | | | | |✅ | | Natural Language Processing (NLP) | Natural Language Understanding | [TPRR](https://gitee.com/mindspore/models/tree/r1.3/research/nlp/tprr) | ✅ | | | | | | | | Recommender | Recommender System, CTR prediction | [AutoDis](https://gitee.com/mindspore/models/tree/r1.3/research/recommend/autodis) | ✅ | | | | | | | | Recommender | Recommender System, CTR prediction | [FAT-DeepFFM](https://gitee.com/mindspore/models/tree/r1.3/research/recommend/Fat-DeepFFM) | ✅ | ✅ | | | | | | | Audio | Audio Tagging | [FCN-4](https://gitee.com/mindspore/models/tree/r1.3/research/audio/fcn-4) | ✅ | | | | | | |✅ | | Audio |Speech Recognition | [DeepSpeech2](https://gitee.com/mindspore/models/tree/r1.3/research/audio/deepspeech2) | | | ✅ | | ✅ | | | | Audio |Generation | [WaveNet](https://gitee.com/mindspore/models/tree/r1.3/research/audio/wavenet) | | | ✅ | | ✅ | | | | High Performance Computing | Molecular Dynamics | [DeepPotentialH2O](https://gitee.com/mindspore/models/tree/r1.3/research/hpc/molecular_dynamics) | ✅ | ✅ | | | | | | | High Performance Computing | Ocean Model | [GOMO](https://gitee.com/mindspore/models/tree/r1.3/research/hpc/ocean_model) | | | ✅ | | | | | > You can also use [MindWizard Tool](https://gitee.com/mindspore/mindinsight/tree/r1.3/mindinsight/wizard/) to quickly generate classic network scripts.