The Wayback Machine - https://web.archive.org/web/20210512175636/https://github.com/topics/gan
Skip to content
#

gan

Star

Generative adversarial networks (GAN) are a class of generative machine learning frameworks. A GAN consists of two competing neural networks, often termed the Discriminator network and the Generator network. GANs have been shown to be powerful generative models and are able to successfully generate new data given a large enough training dataset.

Here are 2,493 public repositories matching this topic...

Language: All
Filter by language
All 2,493 Python 1,472 Jupyter Notebook 722 HTML 38 Lua 23 JavaScript 18 C++ 11 MATLAB 10 TeX 8 C# 7 CSS 4
Sort: Best match
Sort options
Best match Most stars Fewest stars Most forks Fewest forks Recently updated Least recently updated
gluon-cv

dmlc / gluon-cv

Star
Open

Can I know what is the size of the Kinetics 400 dataset used to reproduce the result in this repo?

12
yxchng
yxchng commented Dec 31, 2020

There are many links in Kinetics that have expired. As as result, everyone might not be using the same Kinetics dataset. As a reference, the statistics of the Kinetics dataset used in PySlowFast can be found here, https://github.com/facebookresearch/video-nonlocal-net/blob/master/DATASET.md. However, I cannot seem to find similar information for gluoncv. Will you guys be sharing the statistics and

Read more
good first issue
Find more good first issues →

NELSONZHAO / zhihu

Star

This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.

natural-language-processing deep-learning machine-translation recurrent-neural-networks gan style-transfer autoencoder convolutional-neural-networks tensorflow-examples
  • Updated Feb 29, 2020
  • Jupyter Notebook
annotated_deep_learning_paper_implementations

lab-ml / annotated_deep_learning_paper_implementations

Star

🧠 Implementations/tutorials of deep learning papers with side-by-side notes; including transformers (original, xl, switch, feedback), optimizers(adam, radam, adabelief), gans(dcgan, cyclegan), reinforcement learning (ppo, dqn), capsnet, sketch-rnn, etc.

reinforcement-learning deep-learning transformers pytorch gan neural-networks deep-learning-tutorial optimizers
  • Updated May 11, 2021
  • Jupyter Notebook

Released June 10, 2014

Wikipedia
Wikipedia

Related Topics

deep-learning neural-network