| udacity/deep-learning-v2-pytorch |
4,973 |
|
0 |
0 |
almost 3 years ago |
0 |
|
15 |
mit |
Jupyter Notebook |
| Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101 |
| tjwei/GANotebooks |
1,335 |
|
0 |
0 |
about 8 years ago |
0 |
|
11 |
mit |
Jupyter Notebook |
| wgan, wgan2(improved, gp), infogan, and dcgan implementation in lasagne, keras, pytorch |
| jayleicn/animeGAN |
1,225 |
|
0 |
0 |
over 3 years ago |
0 |
|
6 |
mit |
Jupyter Notebook |
| A simple PyTorch Implementation of Generative Adversarial Networks, focusing on anime face drawing. |
| moemen95/Pytorch-Project-Template |
791 |
|
0 |
0 |
over 2 years ago |
0 |
|
4 |
mit |
Python |
| A scalable template for PyTorch projects, with examples in Image Segmentation, Object classification, GANs and Reinforcement Learning. |
| Zeleni9/pytorch-wgan |
617 |
|
0 |
0 |
over 2 years ago |
0 |
|
8 |
mit |
Python |
| Pytorch implementation of DCGAN, WGAN-CP, WGAN-GP |
| kwotsin/mimicry |
556 |
|
0 |
1 |
over 3 years ago |
17 |
August 14, 2020 |
9 |
mit |
Python |
| [CVPR 2020 Workshop] A PyTorch GAN library that reproduces research results for popular GANs. |
| znxlwm/pytorch-MNIST-CelebA-GAN-DCGAN |
302 |
|
0 |
0 |
over 7 years ago |
0 |
|
9 |
|
Python |
| Pytorch implementation of Generative Adversarial Networks (GAN) and Deep Convolutional Generative Adversarial Networks (DCGAN) for MNIST and CelebA datasets |
| omerbsezer/Fast-Pytorch |
299 |
|
0 |
0 |
almost 7 years ago |
0 |
|
0 |
|
Jupyter Notebook |
| Pytorch Tutorial, Pytorch with Google Colab, Pytorch Implementations: CNN, RNN, DCGAN, Transfer Learning, Chatbot, Pytorch Sample Codes |
| koba-jon/pytorch_cpp |
215 |
|
0 |
0 |
almost 3 years ago |
0 |
|
5 |
mit |
C++ |
| Deep Learning sample programs using PyTorch in C++ |
| Yangyangii/GAN-Tutorial |
190 |
|
0 |
0 |
over 6 years ago |
0 |
|
0 |
|
Jupyter Notebook |
| Simple Implementation of many GAN models with PyTorch. |
