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

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

Protein function prediction using a variational autoencoder

Variational autoencoder for anomaly detection (in PyTorch).

Collection of generative models in Tensorflow

Deep Recurrent Generative Decoder for Abstractive Text Summarization in DyNet

PyTorch code for CVIU paper "AC-VRNN: Attentive Conditional-VRNN for Multi-Future Trajectory Prediction"

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

Tensorflow Implementation of Knowledge-Guided CVAE for dialog generation ACL 2017. It is released by Tiancheng Zhao (Tony) from Dialog Research Center, LTI, CMU

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

Code for our paper -- Hyperprior Induced Unsupervised Disentanglement of Latent Representations (AAAI 2019)

Torch Implemention of ECCV'16 paper: Attribute2Image

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..

TextBox is an open-source library for building text generation system.

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

Easy-to-follow Pytorch tutorial Notebook for Multi-Agent-Diverse-Generative-Adversarial-Networks

An Introduction to Deep Generative Modeling: Examples

Next RecSys Library

Code for the paper "Jukebox: A Generative Model for Music"

A denoising diffusion probabilistic model (DDPM) tailored for conditional generation of protein distograms

Face generator from sketches using cGAN (pix2pix) model

Speech Enhancement Generative Adversarial Network in TensorFlow

Generative Adversarial Networks in PyTorch

unsupervised video and image generation

ICML 2019. Turn a pre-trained GAN model into a content-addressable model without retraining.

PyTorch implementation of various methods for continual learning (XdG, EWC, online EWC, SI, LwF, GR, GR+distill, RtF, ER, A-GEM, iCaRL).

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

This is project page for the paper "RG-Flow: a hierarchical and explainable flow model based on renormalization group and sparse prior". Paper link: https://arxiv.org/abs/2010.00029

Open-AI's DALL-E for large scale training in mesh-tensorflow.

DanceNet -💃💃Dance generator using Autoencoder, LSTM and Mixture Density Network. (Keras)

Pytorch implementation of Hyperspherical Variational Auto-Encoders

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

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).

Deep probabilistic analysis of single-cell omics data

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

Tensorflow implementation of "BEGAN: Boundary Equilibrium Generative Adversarial Networks"

CALC2.0: Combining Appearance, Semantic and Geometric Information for Robust and Efficient Visual Loop Closure

Tensorflow implementation of variational auto-encoder for MNIST

Lagrangian VAE

Timbre transfer with variational autoencoding and cycle-consistent adversarial networks. Able to transfer the timbre of an audio source to that of another.

Experiments for understanding disentanglement in VAE latent representations

Variational Neural Machine Translation System

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

PyTorch implementation of "Auto-Encoding Variational Bayes"

Variational autoencoder, denoising autoencoder and other variations of autoencoders implementation in keras

Variational autoencoders for collaborative filtering

TensorFlow implementation of "Learning from Simulated and Unsupervised Images through Adversarial Training"

The idea of this list is to collect shared data and algorithms around 3D Morphable Models. You are invited to contribute to this list by adding a pull request. The original list arised from the Dagstuhl seminar on 3D Morphable Models https://www.dagstuhl.de/19102 in March 2019.

Behind the Curtain: Learning Occluded Shapes for 3D Object Detection

A combination of VAE's and Diffusion Models for efficient, controllable and high-fidelity generation from low-dimensional latents

Official implementation of Dynamical VAEs

Generative Adversarial Networks (GANs) resources sorted by citations

📜 An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.

🤖🖌️ Generate photo-realistic textures based on source images. Remix, remake, mashup! Useful if you want to create variations on a theme or elaborate on an existing texture.

Hierarchical fast and high-fidelity audio generation

TriangleGAN, ACM MM 2019.

Efficient Graph Generation with Graph Recurrent Attention Networks, Deep Generative Model of Graphs, Graph Neural Networks, NeurIPS 2019

Experiments with Adversarial Autoencoders using Keras

A simplified PyTorch implementation of "SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient." (Yu, Lantao, et al.)

PixelVAE with or without regularization

We got a stew going!