List of possible models to include

[DonaldTsang]

Some CNNs

• https://github.com/BertMoons/Comparing-CNN-Architectures
• https://github.com/CeLuigi/models-comparison.pytorch
• https://github.com/yeephycho/nasnet-tensorflow

Some superresolutions

• https://github.com/icpm/super-resolution
• https://github.com/YapengTian/Single-Image-Super-Resolution
• https://github.com/huangzehao/Super-Resolution.Benckmark
• https://github.com/ChaofWang/Awesome-Super-Resolution

Some GANs

• https://github.com/kozistr/Awesome-GANs
• https://github.com/nightrome/really-awesome-gan

Some audio-related items

• https://github.com/kuleshov/audio-super-res
• https://github.com/CorentinJ/Real-Time-Voice-Cloning
• https://github.com/andabi/deep-voice-conversion
• https://github.com/r9y9/wavenet_vocoder

Some Object Detection

• https://github.com/mrgloom/awesome-semantic-segmentation
• https://github.com/amusi/awesome-object-detection
• https://github.com/hoya012/deep_learning_object_detection

[kunakl07]

I would like to work on this and include the above models into our system, also I feel that we must add the models like VGG16, FasterRCNN, ImageNet to our application as the users can directly use these models instead of creating the models from scratch

[DonaldTsang]

@kunakl07 if you can gather a bigger list than mine, please post it here, the more we can collect, the more we can understand.

[kunakl07]

Yeah sure @DonaldTsang