Cnn Toys
Playing around with CNNs
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Cyclegan Music Style Transfer | 203 | 3 years ago | 13 | mit | Python | |||||
| Symbolic Music Genre Transfer with CycleGAN | ||||||||||
| Trainner | 198 | a year ago | 16 | apache-2.0 | Python | |||||
| traiNNer: Deep learning framework for image and video super-resolution, restoration and image-to-image translation, for training and testing. | ||||||||||
| Fast Aginggan | 179 | 7 months ago | Python | |||||||
| A deep learning model to age faces in the wild, currently runs at 60+ fps on GPUs | ||||||||||
| Cyclegan Qp | 67 | 4 years ago | n,ull | mit | Python | |||||
| Official PyTorch implementation of "Artist Style Transfer Via Quadratic Potential" | ||||||||||
| Tendies | 31 | 6 years ago | Python | |||||||
| TensorFlow Distributed Image Serving - A lightweight, RESTful remote inference library for decoupling deep learning development and deployment. Example usage cases with CycleGAN and Faster R-CNN. Includes tutorial ipynbs. | ||||||||||
| Cyclegan Vc2 | 27 | 4 years ago | 2 | mit | Python | |||||
| CycleGAN-VC2: Improved CycleGAN-based Non-parallel Voice Conversion | ||||||||||
| Chainer Cyclegan | 13 | 6 years ago | Python | |||||||
| Unofficial chainer implementation of 'Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks' [Zhu+, ICCV2017] | ||||||||||
| Mnist Invert Color | 12 | 6 years ago | n,ull | Python | ||||||
| Invert the color of MNIST images with PyTorch | ||||||||||
| Deep Learning With Neural Networks | 11 | 3 years ago | 1 | Jupyter Notebook | ||||||
| This repo contains various use-cases of deep-learning implemented in Pytorch. It also contains summarized notes of each chapter from the book, 'Deep Learning' written by Ian Goodfellow. | ||||||||||
| Cnn Toys | 11 | 6 years ago | 3 | Python | ||||||
| Playing around with CNNs | ||||||||||
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