variational-autoencoder
There are 966 repositories under variational-autoencoder topic.
hwalsuklee/tensorflow-generative-model-collections
Collection of generative models in Tensorflow
clementchadebec/benchmark_VAE
Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)
krasserm/bayesian-machine-learning
Notebooks about Bayesian methods for machine learning
GMvandeVen/continual-learning
PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Classifier) in three different scenarios.
scverse/scvi-tools
Deep probabilistic analysis of single-cell and spatial omics data
jmtomczak/intro_dgm
"Deep Generative Modeling": Introductory Examples
RubensZimbres/Repo-2017
My first Python repo with codes in Machine Learning, NLP and Deep Learning with Keras and Theano
jaanli/variational-autoencoder
Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)
wubinzzu/NeuRec
Next RecSys Library
VincentStimper/normalizing-flows
PyTorch implementation of normalizing flow models
YannDubs/disentangling-vae
Experiments for understanding disentanglement in VAE latent representations
matthewvowels1/Awesome-VAEs
A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.
EndlessSora/focal-frequency-loss
[ICCV 2021] Focal Frequency Loss for Image Reconstruction and Synthesis
timbmg/VAE-CVAE-MNIST
Variational Autoencoder and Conditional Variational Autoencoder on MNIST in PyTorch
EdoardoBotta/RQ-VAE-Recommender
[Pytorch] Generative retrieval model using semantic IDs from "Recommender Systems with Generative Retrieval"
lin-shuyu/VAE-LSTM-for-anomaly-detection
We propose a VAE-LSTM model as an unsupervised learning approach for anomaly detection in time series.
dawenl/vae_cf
Variational autoencoders for collaborative filtering
hwalsuklee/tensorflow-mnist-VAE
Tensorflow implementation of variational auto-encoder for MNIST
navneet-nmk/pytorch-rl
This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch
EleutherAI/DALLE-mtf
Open-AI's DALL-E for large scale training in mesh-tensorflow.
nicola-decao/s-vae-pytorch
Pytorch implementation of Hyperspherical Variational Auto-Encoders
omerbsezer/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..
TimyadNyda/Variational-Lstm-Autoencoder
Lstm variational auto-encoder for time series anomaly detection and features extraction
rese1f/Awesome-VQVAE
A collection of resources and papers on Vector Quantized Variational Autoencoder (VQ-VAE) and its application
snakeztc/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
alexlee-gk/video_prediction
Stochastic Adversarial Video Prediction
sksq96/pytorch-vae
A CNN Variational Autoencoder (CNN-VAE) implemented in PyTorch
edgarschnfld/CADA-VAE-PyTorch
Official implementation of the paper "Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders" (CVPR 2019)
GMvandeVen/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).
nicola-decao/s-vae-tf
Tensorflow implementation of Hyperspherical Variational Auto-Encoders
hsinyilin19/ResNetVAE
Variational AutoEncoder + ResNet Transfer Learning
Chung-I/Variational-Recurrent-Autoencoder-Tensorflow
A tensorflow implementation of "Generating Sentences from a Continuous Space"
silviutroscot/CodeSLAM
Implementation of CodeSLAM — Learning a Compact, Optimisable Representation for Dense Visual SLAM paper (https://arxiv.org/pdf/1804.00874.pdf)
taldatech/soft-intro-vae-pytorch
[CVPR 2021 Oral] Official PyTorch implementation of Soft-IntroVAE from the paper "Soft-IntroVAE: Analyzing and Improving Introspective Variational Autoencoders"
florencejt/fusilli
A Python package housing a collection of deep-learning multi-modal data fusion method pipelines! From data loading, to training, to evaluation - fusilli's got you covered 🌸
LINCellularNeuroscience/VAME
Variational Animal Motion Embedding - A tool for time series embedding and clustering