Popular GitHub Repositories for Gan Implementations

real time face swap and one-click video deepfake with only a single image

??? 60+ Implementations/tutorials of deep learning papers with side-by-side notes ?; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), ? reinforcement learning (ppo, dqn), capsnet, distillation, ... ?

12 Weeks, 24 Lessons, AI for All!

GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

Image-to-Image Translation in PyTorch

深度学习入门教程, 优秀文章, Deep Learning Tutorial

A list of all named GANs!

This repository provides tutorials and implementations for various Generative AI Agent techniques, from basic to advanced. It serves as a comprehensive guide for building intelligent, interactive AI systems.

Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

Minimal and clean examples of machine learning algorithms implementations

Image-to-image translation with conditional adversarial nets

Keras implementations of Generative Adversarial Networks.

? LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022

PaddlePaddle GAN library, including lots of interesting applications like First-Order motion transfer, Wav2Lip, picture repair, image editing, photo2cartoon, image style transfer, GPEN, and so on.

Deep Learning and Reinforcement Learning Library for Scientists and Engineers

A Collection of Variational Autoencoders (VAE) in PyTorch.

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"