1363 Open source projects that are alternatives of or similar to Variational Autoencoder

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

Ladder Variational Autoencoders (LVAE) in PyTorch

Experiments for understanding disentanglement in VAE latent representations

VAE with RealNVP prior and Super-Resolution VAE in PyTorch. Code release for https://arxiv.org/abs/2006.05218.

Data-centric declarative deep learning framework

Tensorflow implementation of conditional variational auto-encoder for MNIST

A Compositional Object-Based Approach to Learning Physical Dynamics

A mindmap summarising Deep Learning concepts.

A collection of resources that should help and guide your first steps as you learn ML and DL. I am a beginner as well, and these are the resources I found most useful.

Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)

Using neural network to build expressive hierarchical distribution; A variational method to accurately estimate posterior uncertainty; A fast and general method for Bayesian inference. (ICML 2018)

Implementation of a convolutional Variational-Autoencoder model in pytorch.

Invariant representation learning from imaging and spectral data

Implementation of VLAE

Official PyTorch implementation of the paper "Self-Supervised Relational Reasoning for Representation Learning", NeurIPS 2020 Spotlight.

Time series forecasting with PyTorch

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Deep & Classical Reinforcement Learning + Machine Learning Examples in Python

No description or website provided.

Assessing Generative Models via Precision and Recall (official repository)

CAI NEURAL API - Pascal based neural network API optimized for AVX, AVX2 and AVX512 instruction sets plus OpenCL capable devices including AMD, Intel and NVIDIA.

Learning about Haskell with Variational Autoencoders

We got a stew going!

End to End learning for Video Generation from Text

Lagrangian VAE

Code for CIKM'18 paper, Linked Causal Variational Autoencoder for Inferring Paired Spillover Effects.

music generation with a classifying variational autoencoder (VAE) and LSTM

Learning to Cluster. A deep clustering strategy.

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

Training and evaluating a variational autoencoder for pan-cancer gene expression data

An Unsupervised Learning Framework for Moving Object Detection From Videos

Bayesian Coherent Point Drift (BCPD/BCPD++); Source Code Available

Minimalist implementation of VQ-VAE in Pytorch

A deep learning model for style-specific music generation.

Stochastic Adversarial Video Prediction

Example codes of new book ROS Robotics Projects

A framework for integrated Artificial Intelligence & Artificial General Intelligence (AGI)

[CVPR 2021 Oral] Official PyTorch implementation of Soft-IntroVAE from the paper "Soft-IntroVAE: Analyzing and Improving Introspective Variational Autoencoders"

Demo applications showcasing DJL

Keras implementation of a Variational Auto Encoder with a Concrete Latent Distribution

PyTorch implementation of normalizing flow models

IPCCC 2018: Robust and Unsupervised KPI Anomaly Detection Based on Conditional Variational Autoencoder

Variational Autoencoder and Conditional Variational Autoencoder on MNIST in PyTorch

An implementation of a Variational-Autoencoder using the Gumbel-Softmax reparametrization trick in TensorFlow (tested on r1.5 CPU and GPU) in ICLR 2017.

There are C language computer programs about the simulator, transformation, and test statistic of continuous Bernoulli distribution. More than that, the book contains continuous Binomial distribution and continuous Trinomial distribution.

Implementation of Sequential Attend, Infer, Repeat (SQAIR)

PyTorch Implementation of VAENAR-TTS: Variational Auto-Encoder based Non-AutoRegressive Text-to-Speech Synthesis.

A curated list of amazingly awesome Cybersecurity datasets

Pytorch implementation of Hyperspherical Variational Auto-Encoders

Semantic Structure-based Unsupervised Deep Hashing IJCAI2018

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Pytorch implementation of β-VAE

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Collection of generative models in Tensorflow

This repository contains model-free deep reinforcement learning algorithms 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"

Text Variational Autoencoder inspired by the paper 'Generating Sentences from a Continuous Space' Bowman et al. https://arxiv.org/abs/1511.06349

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 variational auto-encoder for MNIST