342 Open source projects that are alternatives of or similar to soft-intro-vae-pytorch

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

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

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

Official implementation of the paper "Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders" (CVPR 2019)

Example projects I completed to understand Deep Learning techniques with Tensorflow. Please note that I do no longer maintain this repository.

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

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

Handle class imbalance intelligently by using variational auto-encoders to generate synthetic observations of your minority class.

Official implementation of "Adversarial Open Domain Adaptation for Sketch-to-Photo Synthesis"(WACV 2022/CVPRW 2021)

Regularizing Generative Adversarial Networks under Limited Data (CVPR 2021)

Stochastic Adversarial Video Prediction

A CNN Variational Autoencoder (CNN-VAE) implemented in PyTorch

Assessing Generative Models via Precision and Recall (official repository)

A Tensorflow implementation of a Variational Autoencoder for the deep learning course at the University of Southern California (USC).

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

Code for "MojiTalk: Generating Emotional Responses at Scale" https://arxiv.org/abs/1711.04090

DeepNude's algorithm and general image generation theory and practice research, including pix2pix, CycleGAN, UGATIT, DCGAN, SinGAN, ALAE, mGANprior, StarGAN-v2 and VAE models (TensorFlow2 implementation). DeepNude的算法以及通用生成对抗网络（GAN,Generative Adversarial Network）图像生成的理论与实践研究。

We got a stew going!

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

Pytorch implementation of Hyperspherical Variational Auto-Encoders

Protein function prediction using a variational autoencoder

Implementation of a convolutional Variational-Autoencoder model 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.

Invariant representation learning from imaging and spectral data

PyTorch implementation of "Auto-Encoding Variational Bayes"

Experiments for understanding disentanglement in VAE latent representations

Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)

Tensorflow implementation of variational auto-encoder for MNIST

Tensorflow implementation of conditional variational auto-encoder for MNIST

PyTorch implementation of normalizing flow models

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.

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

No description or website provided.

Tensorflow implementation of Hyperspherical Variational Auto-Encoders

PyTorch implementation of "Lagging Inference Networks and Posterior Collapse in Variational Autoencoders" (ICLR 2019)

Variational Autoencoder and Conditional Variational Autoencoder on MNIST in PyTorch

Focal Frequency Loss for Generative Models

Collection of generative models in Tensorflow

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

A tensorflow implementation of "Generating Sentences from a Continuous Space"

Variational Auto-Encoders in a Sequential Setting.

Tensorflow Implementation of the paper [Neural Discrete Representation Learning](https://arxiv.org/abs/1711.00937) (VQ-VAE).

Code for EMNLP18 paper "Spherical Latent Spaces for Stable Variational Autoencoders"

[CVPR 2021] DeFMO: Deblurring and Shape Recovery of Fast Moving Objects

Minimalist implementation of VQ-VAE in Pytorch

PyTorch implementation of VQ-VAE by Aäron van den Oord et al.

State Representation Learning (SRL) zoo with PyTorch - Part of S-RL Toolbox

CoCosNet v2: Full-Resolution Correspondence Learning for Image Translation

O-GAN: Extremely Concise Approach for Auto-Encoding Generative Adversarial Networks

Deep Learning sample programs using PyTorch in C++

Machine learning, in numpy

[CVPR2021] Look before you leap: learning landmark features for one-stage visual grounding.

Tacotron 2 - PyTorch implementation with faster-than-realtime inference modified to enable cross lingual voice cloning.

Replicating "Understanding disentangling in β-VAE"

Comparison of Generative Models in Tensorflow

One Shot Face Swapping on Megapixels.

[ICLR 2021 Spotlight] A Good Image Generator Is What You Need for High-Resolution Video Synthesis

Official PyTorch implementation of "Deep State Space Models for Nonlinear System Identification", 2020.