SganStacked Generative Adversarial Networks
WganTensorflow Implementation of Wasserstein GAN (and Improved version in wgan_v2)
Tf VqvaeTensorflow Implementation of the paper [Neural Discrete Representation Learning](https://arxiv.org/abs/1711.00937) (VQ-VAE).
Triple GanSee Triple-GAN-V2 in PyTorch: https://github.com/taufikxu/Triple-GAN
Voxel FlowVideo Frame Synthesis using Deep Voxel Flow (ICCV 2017 Oral)
DraganA stable algorithm for GAN training
Vae vamppriorCode for the paper "VAE with a VampPrior", J.M. Tomczak & M. Welling
MelnetImplementation of "MelNet: A Generative Model for Audio in the Frequency Domain"
Stylegan2 PytorchSimplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement
Msg NetMulti-style Generative Network for Real-time Transfer
Gretel SyntheticsDifferentially private learning to create fake, synthetic datasets with enhanced privacy guarantees
Gesturegan[ACM MM 2018 Oral] GestureGAN for Hand Gesture-to-Gesture Translation in the Wild
First Order ModelThis repository contains the source code for the paper First Order Motion Model for Image Animation
Cramer GanTensorflow Implementation on "The Cramer Distance as a Solution to Biased Wasserstein Gradients" (https://arxiv.org/pdf/1705.10743.pdf)
ScgenSingle cell perturbation prediction
Net2netNetwork-to-Network Translation with Conditional Invertible Neural Networks
Torch GqnPyTorch Implementation of Generative Query Network
PaysageUnsupervised learning and generative models in python/pytorch.
PsganPeriodic Spatial Generative Adversarial Networks
GiqaPytorch 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 GenerationHandwriting generation by RNN with TensorFlow, based on "Generating Sequences With Recurrent Neural Networks" by Alex Graves
Vae For Image GenerationImplemented Variational Autoencoder generative model in Keras for image generation and its latent space visualization on MNIST and CIFAR10 datasets
Inr GanAdversarial Generation of Continuous Images [CVPR 2021]
Sem PcycPyTorch implementation of the paper "Semantically Tied Paired Cycle Consistency for Zero-Shot Sketch-based Image Retrieval", CVPR 2019.
Markov Chain GanCode for "Generative Adversarial Training for Markov Chains" (ICLR 2017 Workshop)
Dfc VaeVariational Autoencoder trained by Feature Perceputal Loss
TorchganResearch Framework for easy and efficient training of GANs based on Pytorch
DlfCode for reproducing results in "Generative Model with Dynamic Linear Flow"
TarsA deep generative model library in Theano and Lasagne
Li emnlp 2017Deep Recurrent Generative Decoder for Abstractive Text Summarization in DyNet
CsgnetCSGNet: Neural Shape parser for Constructive Solid Geometry
NotesThe notes for Math, Machine Learning, Deep Learning and Research papers.
Adain StyleArbitrary Style Transfer in Real-time with Adaptive Instance Normalization
LigdreamNovel molecules from a reference shape!
Wavegan PytorchPyTorch implementation of " Synthesizing Audio with Generative Adversarial Networks"
Dcgan PytorchPyTorch Implementation of DCGAN trained on the CelebA dataset.
Discogan PytorchPyTorch implementation of "Learning to Discover Cross-Domain Relations with Generative Adversarial Networks"
Dcgan TensorflowA tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"