adversarial

GAN implementation

Provides implementation of Generative Adversarial Networks (GANs) with code and hyperparameters for research purposes.

Code and hyperparameters for the paper "Generative Adversarial Networks"

GitHub
4k stars
149 watching
1k forks
Language: Python
last commit: over 4 years ago
Linked from 1 awesome list


Backlinks from these awesome lists:

Related projects:

Repository Description Stars
eriklindernoren/pytorch-gan PyTorch implementations of Generative Adversarial Networks (GANs) for image synthesis and other applications. 16,521
eriklindernoren/keras-gan Implementations of Generative Adversarial Networks (GANs) using the Keras deep learning framework 9,193
postech-cvlab/pytorch-studiogan A comprehensive PyTorch library providing implementations of various Generative Adversarial Networks (GANs) for image generation and evaluation. 3,434
eleutherai/gpt-neox Provides a framework for training large-scale language models on GPUs with advanced features and optimizations. 6,968
nvlabs/stylegan3 An implementation of a generative adversarial network architecture designed to improve image synthesis and video generation capabilities 6,459
nvlabs/stylegan2-ada-pytorch An official PyTorch implementation of the StyleGAN2-ADA algorithm for generating images with a focus on stability and performance. 4,134
openai/gpt-2 A repository providing code and models for research into language modeling and multitask learning 22,574
hwalsuklee/tensorflow-generative-model-collections Provides a collection of TensorFlow implementations for various Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs). 3,913
tkarras/progressive_growing_of_gans A training methodology for generative adversarial networks to improve quality and stability 6,101
kupynorest/deblurgan An image deblurring system using Generative Adversarial Networks (GANs) to restore sharpness from blurry images. 2,525
nvlabs/stylegan A deep learning framework implementing a generator architecture for generating images with controllable attributes and disentangled latent factors 14,163
eth-sri/diffai Trains neural networks to be provably robust against adversarial examples using abstract interpretation techniques. 218
nrel/sup3r Creates synthetic high-resolution spatiotemporal data for renewable energy resources using generative adversarial networks. 88
cleverhans-lab/cleverhans A Python library for benchmarking machine learning systems' vulnerability to adversarial examples. 6,210
guopengf/auto-fedrl A reinforcement learning-based framework for optimizing hyperparameters in distributed machine learning environments. 15