Browse free open source Generative Adversarial Networks (GAN) and projects for Linux below. Use the toggles on the left to filter open source Generative Adversarial Networks (GAN) by OS, license, language, programming language, and project status.
AI for GNU Image Manipulation Program
Super-scale your images and run experiments with Residual Dense
Code for Hands-on Unsupervised Learning Using Python (O'Reilly Media)
A simple PyTorch Implementation of Generative Adversarial Networks
Code Repository for Machine Learning with PyTorch and Scikit-Learn
Code for machine learning for algorithmic trading, 2nd edition
Bringing Old Photo Back to Life (CVPR 2020 oral)
Benchmarking synthetic data generation methods
Fast image augmentation library and an easy-to-use wrapper
Conditional GAN for generating synthetic tabular data
Composable GAN framework with api and user interface
A machine learning library for detecting anomalies in signals
Awesome Artificial Intelligence, Machine Learning and Deep Learning
3D-aware GANs based on NeRF (arXiv)
The Simplest DCGAN Implementation
List of useful data augmentation resources
A probabilistic programming language in TensorFlow
Learning infinite-resolution image processing with GAN and RL
Compute FID scores with PyTorch
Deep Learning in Haskell
Implementation of 'lightweight' GAN, proposed in ICLR 2021
MMGeneration is a powerful toolkit for generative models
An open-source convolutional neural networks platform for research
PyTorch implementation of BigGAN with pretrained weights
Code base for the precision, recall, density, and coverage metrics