There are 16 repositories under variational-autoencoder topic.
Collection of generative models in Tensorflow
Notebooks about Bayesian methods for machine learning
Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)
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.
My first Python repo with codes in Machine Learning, NLP and Deep Learning with Keras and Theano
Deep probabilistic analysis of single-cell and spatial omics data
Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)
Experiments for understanding disentanglement in VAE latent representations
A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.
PyTorch implementation of normalizing flow models
[ICCV 2021] Focal Frequency Loss for Image Reconstruction and Synthesis
Variational Autoencoder and Conditional Variational Autoencoder on MNIST in PyTorch
Tensorflow implementation of variational auto-encoder for MNIST
This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch
Open-AI's DALL-E for large scale training in mesh-tensorflow.
We propose a VAE-LSTM model as an unsupervised learning approach for anomaly detection in time series.
Pytorch implementation of Hyperspherical Variational Auto-Encoders
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..
Tensorflow Implementation of Knowledge-Guided CVAE for dialog generation ACL 2017. It is released by Tiancheng Zhao (Tony) from Dialog Research Center, LTI, CMU
Stochastic Adversarial Video Prediction
Lstm variational auto-encoder for time series anomaly detection and features extraction
A CNN Variational Autoencoder (CNN-VAE) implemented in PyTorch
Official implementation of the paper "Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders" (CVPR 2019)
A tensorflow implementation of "Generating Sentences from a Continuous Space"
Tensorflow implementation of Hyperspherical Variational Auto-Encoders
A brain-inspired version of generative replay for continual learning with deep neural networks (e.g., class-incremental learning on CIFAR-100; PyTorch code).
Variational AutoEncoder + ResNet Transfer Learning
Implementation of CodeSLAM — Learning a Compact, Optimisable Representation for Dense Visual SLAM paper (https://arxiv.org/pdf/1804.00874.pdf)
[CVPR 2021 Oral] Official PyTorch implementation of Soft-IntroVAE from the paper "Soft-IntroVAE: Analyzing and Improving Introspective Variational Autoencoders"
Variational Autoencoder for Dimensionality Reduction of Time-Series
Variational auto-encoder trained on celebA . All rights reserved.
Pytorch implementation of Block Neural Autoregressive Flow
Autoencoders for Unsupervised Anomaly Segmentation in Brain MR Images: A Comparative Study