| rasbt/deeplearning-models |
16,142 |
|
0 |
0 |
about 2 years ago |
0 |
|
4 |
mit |
Jupyter Notebook |
| A collection of various deep learning architectures, models, and tips |
| MorvanZhou/PyTorch-Tutorial |
7,372 |
|
0 |
0 |
about 3 years ago |
0 |
|
28 |
mit |
Jupyter Notebook |
| Build your neural network easy and fast, 莫烦Python中文教学 |
| podgorskiy/ALAE |
2,850 |
|
0 |
0 |
about 5 years ago |
0 |
|
31 |
|
Python |
| [CVPR2020] Adversarial Latent Autoencoders |
| xiaohu2015/DeepLearning_tutorials |
1,216 |
|
0 |
0 |
about 7 years ago |
0 |
|
7 |
|
Jupyter Notebook |
| The deeplearning algorithms implemented by tensorflow |
| roatienza/Deep-Learning-Experiments |
1,050 |
|
0 |
0 |
over 2 years ago |
0 |
|
10 |
mit |
Jupyter Notebook |
| Videos, notes and experiments to understand deep learning |
| alexandre01/deepsvg |
829 |
|
0 |
0 |
about 2 years ago |
0 |
|
28 |
mit |
Jupyter Notebook |
| [NeurIPS 2020] Official code for the paper "DeepSVG: A Hierarchical Generative Network for Vector Graphics Animation". Includes a PyTorch library for deep learning with SVG data. |
| ThibaultGROUEIX/AtlasNet |
561 |
|
0 |
0 |
over 3 years ago |
0 |
|
11 |
mit |
Python |
| This repository contains the source codes for the paper "AtlasNet: A Papier-Mâché Approach to Learning 3D Surface Generation ". The network is able to synthesize a mesh (point cloud + connectivity) from a low-resolution point cloud, or from an image. |
| szymonmaszke/torchlayers |
547 |
|
0 |
0 |
almost 4 years ago |
0 |
|
4 |
mit |
Python |
| Shape and dimension inference (Keras-like) for PyTorch layers and neural networks |
| timbmg/VAE-CVAE-MNIST |
508 |
|
0 |
0 |
over 2 years ago |
0 |
|
1 |
|
Python |
| Variational Autoencoder and Conditional Variational Autoencoder on MNIST in PyTorch |
| shayneobrien/generative-models |
414 |
|
0 |
0 |
over 7 years ago |
0 |
|
1 |
mit |
Jupyter Notebook |
| Annotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN, BEGAN, RaGAN, InfoGAN, fGAN, FisherGAN |
