Top 115 vae open source projects

Stochastic Adversarial Video Prediction

VPoser: Variational Human Pose Prior

Variational Autoencoder and Conditional Variational Autoencoder on MNIST in PyTorch

A tensorflow implementation of "Generating Sentences from a Continuous Space"

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

Minimalist implementation of VQ-VAE in Pytorch

PyTorch implementation of VQ-VAE by Aäron van den Oord et al.

Official implementation of the paper "Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders" (CVPR 2019)

Tensorflow implementation of Hyperspherical Variational Auto-Encoders

Replicating "Understanding disentangling in β-VAE"

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

A CNN Variational Autoencoder (CNN-VAE) implemented in PyTorch

Optimus: the first large-scale pre-trained VAE language model

Pytorch implementation of FactorVAE proposed in Disentangling by Factorising(http://arxiv.org/abs/1802.05983)

PyTorch Implementation of "A Hierarchical Latent Structure for Variational Conversation Modeling" (NAACL 2018 Oral)

PyTorch implementation of "Lagging Inference Networks and Posterior Collapse in Variational Autoencoders" (ICLR 2019)

A Collection of Variational Autoencoders (VAE) in PyTorch.

Blend beats using machine learning to create music in a fun new way.

Variational Auto-Encoders in a Sequential Setting.

Code for EMNLP18 paper "Spherical Latent Spaces for Stable Variational Autoencoders"

Tensorflow implementation of conditional variational auto-encoder for MNIST

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

State Representation Learning (SRL) zoo with PyTorch - Part of S-RL Toolbox

A Tensorflow implementation of a Variational Autoencoder for the deep learning course at the University of Southern California (USC).

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

Deep Learning sample programs using PyTorch in C++

Machine learning, in numpy

Code for "MojiTalk: Generating Emotional Responses at Scale" https://arxiv.org/abs/1711.04090

Tacotron 2 - PyTorch implementation with faster-than-realtime inference modified to enable cross lingual voice cloning.

Handle class imbalance intelligently by using variational auto-encoders to generate synthetic observations of your minority class.

Comparison of Generative Models in Tensorflow

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

A Tensorfflow implementation of Attend, Infer, Repeat

Variational Autoencoder trained by Feature Perceputal Loss

Protein function prediction using a variational autoencoder

Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation

Paper collection of Neural Text Generation

(beta-)VAE Tensorflow

Official PyTorch Implementation of "DLow: Diversifying Latent Flows for Diverse Human Motion Prediction". ECCV 2020.

Voice conversion (VC) investigation using three variants of VAE

PyTorch implementation of "Auto-Encoding Variational Bayes"

Advanced Deep Learning with Keras, published by Packt

Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

でぃーぷらーにんぐを無限にやってディープラーニングでDeepLearningするための実装CheatSheet

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

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

Tensorflow implementation of variational auto-encoder for MNIST

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

Pytorch implementation of JointVAE, a framework for disentangling continuous and discrete factors of variation 🌟

Experiments for understanding disentanglement in VAE latent representations

DeepNude's algorithm and general image generation theory and practice research, including pix2pix, CycleGAN, UGATIT, DCGAN, SinGAN, ALAE, mGANprior, StarGAN-v2 and VAE models (TensorFlow2 implementation). DeepNude的算法以及通用生成对抗网络（GAN,Generative Adversarial Network）图像生成的理论与实践研究。

Vector Quantized VAEs - PyTorch Implementation

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