625 Open source projects that are alternatives of or similar to Generative Models

Collection of generative models in Tensorflow

Adversarial Generation of Continuous Images [CVPR 2021]

A Tensorfflow implementation of Attend, Infer, Repeat

PyTorch Re-Implementation of "Generating Sentences from a Continuous Space" by Bowman et al 2015 https://arxiv.org/abs/1511.06349

A simplified PyTorch implementation of "SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient." (Yu, Lantao, et al.)

Protein function prediction using a variational autoencoder

A collection of generative methods implemented with TensorFlow (Deep Convolutional Generative Adversarial Networks (DCGAN), Variational Autoencoder (VAE) and DRAW: A Recurrent Neural Network For Image Generation).

PyTorch implementation of " Synthesizing Audio with Generative Adversarial Networks"

Implementation of VAE and Style-GAN Architecture Achieving State of the Art Reconstruction

See Triple-GAN-V2 in PyTorch: https://github.com/taufikxu/Triple-GAN

Speech Enhancement Generative Adversarial Network in TensorFlow

Deep Learning Models implemented in python.

Spectral Normalization for Keras Dense and Convolution Layers

A combination of VAE's and Diffusion Models for efficient, controllable and high-fidelity generation from low-dimensional latents

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

PyTorch implementation of "Learning to Discover Cross-Domain Relations with Generative Adversarial Networks"

Pytorch implementation of pix2pix for various datasets.

Implemented Variational Autoencoder generative model in Keras for image generation and its latent space visualization on MNIST and CIFAR10 datasets

Semantic Image Inpainting

Unofficial PyTorch Implementation of SUM-GAN from "Unsupervised Video Summarization with Adversarial LSTM Networks" (CVPR 2017)

Annotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN, BEGAN, RaGAN, InfoGAN, fGAN, FisherGAN

Stochastic Adversarial Video Prediction

Implementation of Restricted Boltzmann Machine (RBM) and its variants in Tensorflow

Face generator from sketches using cGAN (pix2pix) model

Python package with source code from the course "Creative Applications of Deep Learning w/ TensorFlow"

Code accompanying ISMIR'19 paper titled "Learning to Traverse Latent Spaces for Musical Score Inpaintning"

PyTorch implementation of VQ-VAE-2 from "Generating Diverse High-Fidelity Images with VQ-VAE-2"

VAE with RealNVP prior and Super-Resolution VAE in PyTorch. Code release for https://arxiv.org/abs/2006.05218.

Periodic Spatial Generative Adversarial Networks

Generative Deep Learning Sessions led by Anugraha Sinha (Machine Learning Tokyo)

[CVPR2020] Adversarial Latent Autoencoders

Variational Autoencoder trained by Feature Perceputal Loss

A stable algorithm for GAN training

Advanced Deep Learning with Keras, published by Packt

Tensorflow implementation of "BEGAN: Boundary Equilibrium Generative Adversarial Networks"

PyTorch Implementation of DCGAN trained on the CelebA dataset.

Tensorflow Implementation of the paper [Neural Discrete Representation Learning](https://arxiv.org/abs/1711.00937) (VQ-VAE).

CPU/GPU/TPU implementation of the Fréchet Inception Distance

Paper collection of Neural Text Generation

Comparison of Generative Models in Tensorflow

O-GAN: Extremely Concise Approach for Auto-Encoding Generative Adversarial Networks

Example projects I completed to understand Deep Learning techniques with Tensorflow. Please note that I do no longer maintain this repository.

[CVPR 2020] Local Class-Specific and Global Image-Level Generative Adversarial Networks for Semantic-Guided Scene Generation

Inspired by the neural style algorithm in the computer vision field, we propose a high-level language model with the aim of adapting the linguistic style.

This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch

A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.

Code for APDrawingGAN: Generating Artistic Portrait Drawings from Face Photos with Hierarchical GANs (CVPR 2019 Oral)

All About the GANs(Generative Adversarial Networks) - Summarized lists for GAN

Introduction to generative adversarial networks, with code to accompany the O'Reilly tutorial on GANs

Generative adversarial networks integrating modules from FUNIT and SPADE for face-swapping.

Learning infinite-resolution image processing with GAN and RL from unpaired image datasets, using a differentiable photo editing model.

Gluon CV Toolkit

Generative Adversarial Text to Image Synthesis / Please Star -->

Generate your own cartoon-style images with CartoonGAN (CVPR 2018), powered by TensorFlow 2.0 Alpha.

A Tensorflow implementation of Semi-supervised Learning Generative Adversarial Networks (NIPS 2016: Improved Techniques for Training GANs).

《Deep Learning》《深度学习》 by Ian Goodfellow, Yoshua Bengio and Aaron Courville

An application tool of edge-connect, which can do anime inpainting and drawing. 动漫人物图片自动修复，去马赛克，填补，去瑕疵

머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in machine learning study)

Synthesizing and manipulating 2048x1024 images with conditional GANs