generative-models
Generative Models Library
A collection of software frameworks and implementations for training generative models using GANs, VAEs, RBMs, and other techniques.
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
7k stars
297 watching
2k forks
Language: Python
last commit: 8 months ago
Linked from 2 awesome lists
gangenerative-modelmachine-learningpytorchrbmrestricted-boltzmann-machinetensorflowvae
bharathgs/awesome-pytorch-list
nashory/gans-awesome-applicationsRelated projects:
| Repository | Description | Stars |
|---|---|---|
 hwalsuklee/tensorflow-generative-model-collections | Provides a collection of TensorFlow implementations for various Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs). | 3,911 |
 shayneobrien/generative-models | Annotated implementations of various deep generative models using PyTorch | 500 |
 znxlwm/pytorch-generative-model-collections | Replication of various Generative Adversarial Networks (GANs) and their variants in PyTorch | 2,601 |
 carpedm20/discogan-pytorch | A PyTorch implementation of a Generative Adversarial Network (GAN) for discovering cross-domain relations. | 1,084 |
 soumith/ganhacks | A collection of strategies and techniques to improve the stability and performance of Generative Adversarial Networks (GANs) for generating high-quality images. | 11,458 |
 eriklindernoren/pytorch-gan | PyTorch implementations of Generative Adversarial Networks for image synthesis | 16,453 |
 nvlabs/stylegan2-ada-pytorch | An official PyTorch implementation of the StyleGAN2-ADA algorithm for generating images with a focus on stability and performance. | 4,132 |
 postech-cvlab/pytorch-studiogan | A comprehensive PyTorch library providing implementations of various Generative Adversarial Networks (GANs) for image generation and evaluation. | 3,430 |
 tensorflow/gan | Provides tools and utilities for training and evaluating Generative Adversarial Networks (GANs) in TensorFlow | 937 |
 mit-han-lab/data-efficient-gans | Improves GAN training efficiency by incorporating data augmentation | 1,283 |
 mailmahee/pytorch-generative-adversarial-networks | An implementation of Generative Adversarial Networks in PyTorch for generating realistic data from a given distribution. | 32 |
 open-mmlab/mmgeneration | Generative model toolkit for GANs and image generation tasks | 1,909 |
 csailvision/gandissect | Visualizes and understands internal representations of generative adversarial networks (GANs) to analyze their behavior and improve performance. | 1,770 |
 yunjey/pytorch-tutorial | A comprehensive tutorial project that provides code examples for learning PyTorch by implementing various deep learning models and demonstrating their usage. | 30,286 |
 yunishi3/3d-fcr-alphagan | This project aims to develop a generative model for 3D multi-object scenes using a novel network architecture inspired by auto-encoding and generative adversarial networks. | 103 |