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Top 148 generative-model open source projects

Wgan
Tensorflow Implementation of Wasserstein GAN (and Improved version in wgan_v2)
Tf Vqvae
Tensorflow Implementation of the paper [Neural Discrete Representation Learning](https://arxiv.org/abs/1711.00937) (VQ-VAE).
Triple Gan
See Triple-GAN-V2 in PyTorch: https://github.com/taufikxu/Triple-GAN
Neuralnetworks.thought Experiments
Observations and notes to understand the workings of neural network models and other thought experiments using Tensorflow
Voxel Flow
Video Frame Synthesis using Deep Voxel Flow (ICCV 2017 Oral)
Vincent Ai Artist
Style transfer using deep convolutional neural nets
Vae vampprior
Code for the paper "VAE with a VampPrior", J.M. Tomczak & M. Welling
Mine Mutual Information Neural Estimation
A pytorch implementation of MINE(Mutual Information Neural Estimation)
Melnet
Implementation of "MelNet: A Generative Model for Audio in the Frequency Domain"
Disentangled Person Image Generation
Tensorflow implementation of CVPR 2018 paper "Disentangled Person Image Generation"
Stylegan2 Pytorch
Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement
Msg Net
Multi-style Generative Network for Real-time Transfer
Gretel Synthetics
Differentially private learning to create fake, synthetic datasets with enhanced privacy guarantees
First Order Model
This repository contains the source code for the paper First Order Motion Model for Image Animation
Cramer Gan
Tensorflow Implementation on "The Cramer Distance as a Solution to Biased Wasserstein Gradients" (https://arxiv.org/pdf/1705.10743.pdf)
Generative 3d Part Assembly
Generative 3D Part Assembly via Dynamic Graph Learning, NeurIPS 2020
Scgen
Single cell perturbation prediction
Net2net
Network-to-Network Translation with Conditional Invertible Neural Networks
Torch Gqn
PyTorch Implementation of Generative Query Network
Generative Evaluation Prdc
Code base for the precision, recall, density, and coverage metrics for generative models. ICML 2020.
Paysage
Unsupervised learning and generative models in python/pytorch.
Giqa
Pytorch implementation of Generated Image Quality Assessment
Lggan
[CVPR 2020] Local Class-Specific and Global Image-Level Generative Adversarial Networks for Semantic-Guided Scene Generation
Rnn Handwriting Generation
Handwriting generation by RNN with TensorFlow, based on "Generating Sequences With Recurrent Neural Networks" by Alex Graves
Vae For Image Generation
Implemented Variational Autoencoder generative model in Keras for image generation and its latent space visualization on MNIST and CIFAR10 datasets
Generating Devanagari Using Draw
PyTorch implementation of DRAW: A Recurrent Neural Network For Image Generation trained on Devanagari dataset.
Inr Gan
Adversarial Generation of Continuous Images [CVPR 2021]
Sem Pcyc
PyTorch implementation of the paper "Semantically Tied Paired Cycle Consistency for Zero-Shot Sketch-based Image Retrieval", CVPR 2019.
Markov Chain Gan
Code for "Generative Adversarial Training for Markov Chains" (ICLR 2017 Workshop)
Dfc Vae
Variational Autoencoder trained by Feature Perceputal Loss
Frechet Inception Distance
CPU/GPU/TPU implementation of the Fréchet Inception Distance
Dlf
Code for reproducing results in "Generative Model with Dynamic Linear Flow"
Tars
A deep generative model library in Theano and Lasagne
Li emnlp 2017
Deep Recurrent Generative Decoder for Abstractive Text Summarization in DyNet
Csgnet
CSGNet: Neural Shape parser for Constructive Solid Geometry
Adain Style
Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization
Ligdream
Novel molecules from a reference shape!
Wavegan Pytorch
PyTorch implementation of " Synthesizing Audio with Generative Adversarial Networks"
Dcgan Pytorch
PyTorch Implementation of DCGAN trained on the CelebA dataset.
Discogan Pytorch
PyTorch implementation of "Learning to Discover Cross-Domain Relations with Generative Adversarial Networks"
Ali Pytorch
Adversarially Learned Inference in Pytorch
Dcgan Tensorflow
A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"
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