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Top 95 variational-autoencoder open source projects

Vae Cvae Mnist
Variational Autoencoder and Conditional Variational Autoencoder on MNIST in PyTorch
Variational Recurrent Autoencoder Tensorflow
A tensorflow implementation of "Generating Sentences from a Continuous Space"
Cada Vae Pytorch
Official implementation of the paper "Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders" (CVPR 2019)
S Vae Tf
Tensorflow implementation of Hyperspherical Variational Auto-Encoders
Pytorch Vae
A CNN Variational Autoencoder (CNN-VAE) implemented in PyTorch
Vae Celeba
Variational auto-encoder trained on celebA . All rights reserved.
Vde
Variational Autoencoder for Dimensionality Reduction of Time-Series
Synthesize3dviadepthorsil
[CVPR 2017] Generation and reconstruction of 3D shapes via modeling multi-view depth maps or silhouettes
Tensorflow Mnist Cvae
Tensorflow implementation of conditional variational auto-encoder for MNIST
Bnaf
Pytorch implementation of Block Neural Autoregressive Flow
Deep Learning With Python
Example projects I completed to understand Deep Learning techniques with Tensorflow. Please note that I do no longer maintain this repository.
Neuraldialog Larl
PyTorch implementation of latent space reinforcement learning for E2E dialog published at NAACL 2019. It is released by Tiancheng Zhao (Tony) from Dialog Research Center, LTI, CMU
Tybalt
Training and evaluating a variational autoencoder for pan-cancer gene expression data
Vae Tensorflow
A Tensorflow implementation of a Variational Autoencoder for the deep learning course at the University of Southern California (USC).
Mojitalk
Code for "MojiTalk: Generating Emotional Responses at Scale" https://arxiv.org/abs/1711.04090
Smrt
Handle class imbalance intelligently by using variational auto-encoders to generate synthetic observations of your minority class.
Brain Inspired Replay
A brain-inspired version of generative replay for continual learning with deep neural networks (e.g., class-incremental learning on CIFAR-100; PyTorch code).
Vae For Image Generation
Implemented Variational Autoencoder generative model in Keras for image generation and its latent space visualization on MNIST and CIFAR10 datasets
Implementation variational Auto Encoder
Simple implementation of Variational Autoencoder
Codeslam
Implementation of CodeSLAM — Learning a Compact, Optimisable Representation for Dense Visual SLAM paper (https://arxiv.org/pdf/1804.00874.pdf)
Li emnlp 2017
Deep Recurrent Generative Decoder for Abstractive Text Summarization in DyNet
Variationaldeepsemantichashing
The original implementation of the models and experiments of Variational Deep Semantic Hashing paper (SIGIR 2017)
Deep Generative Models
Deep generative models implemented with TensorFlow 2.0: eg. Restricted Boltzmann Machine (RBM), Deep Belief Network (DBN), Deep Boltzmann Machine (DBM), Convolutional Variational Auto-Encoder (CVAE), Convolutional Generative Adversarial Network (CGAN)
Variational Autoencoder
PyTorch implementation of "Auto-Encoding Variational Bayes"
Continual Learning
PyTorch implementation of various methods for continual learning (XdG, EWC, online EWC, SI, LwF, GR, GR+distill, RtF, ER, A-GEM, iCaRL).
Scvi Tools
Deep probabilistic analysis of single-cell omics data
Tensorflow Mnist Vae
Tensorflow implementation of variational auto-encoder for MNIST
Awesome Vaes
A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.
Vae cf
Variational autoencoders for collaborative filtering
Neuraldialog Cvae
Tensorflow Implementation of Knowledge-Guided CVAE for dialog generation ACL 2017. It is released by Tiancheng Zhao (Tony) from Dialog Research Center, LTI, CMU
Generative models tutorial with demo
Generative Models Tutorial with Demo: Bayesian Classifier Sampling, Variational Auto Encoder (VAE), Generative Adversial Networks (GANs), Popular GANs Architectures, Auto-Regressive Models, Important Generative Model Papers, Courses, etc..
Dalle Mtf
Open-AI's DALL-E for large scale training in mesh-tensorflow.
S Vae Pytorch
Pytorch implementation of Hyperspherical Variational Auto-Encoders
class-incremental-learning
PyTorch implementation of a VAE-based generative classifier, as well as other class-incremental learning methods that do not store data (DGR, BI-R, EWC, SI, CWR, CWR+, AR1, the "labels trick", SLDA).
classifying-vae-lstm
music generation with a classifying variational autoencoder (VAE) and LSTM
calc2.0
CALC2.0: Combining Appearance, Semantic and Geometric Information for Robust and Efficient Visual Loop Closure
srVAE
VAE with RealNVP prior and Super-Resolution VAE in PyTorch. Code release for https://arxiv.org/abs/2006.05218.
tt-vae-gan
Timbre transfer with variational autoencoding and cycle-consistent adversarial networks. Able to transfer the timbre of an audio source to that of another.
CHyVAE
Code for our paper -- Hyperprior Induced Unsupervised Disentanglement of Latent Representations (AAAI 2019)
AutoEncoders
Variational autoencoder, denoising autoencoder and other variations of autoencoders implementation in keras
Variational-NMT
Variational Neural Machine Translation System
CIKM18-LCVA
Code for CIKM'18 paper, Linked Causal Variational Autoencoder for Inferring Paired Spillover Effects.
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