140 Open source projects that are alternatives of or similar to Wae Pytorch

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

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

Tensorflow implementation of variational auto-encoder for MNIST

Implementation of Diverse and Accurate Image Description Using a Variational Auto-Encoder with an Additive Gaussian Encoding Space

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

dcgan combined with vae in pytorch!

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

Unofficial PyTorch implementation of "Progressive Growing of GANs for Improved Quality, Stability, and Variation".

Chainer implementation of the Wesserstein GAN

Tensorflow implementation of adversarial auto-encoder for MNIST

Pytorch implementation of JointVAE, a framework for disentangling continuous and discrete factors of variation 🌟

Library implementing state-of-the-art Concept-based and Disentanglement Learning methods for Explainable AI

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

DeepGTT: Learning Travel Time Distributions with Deep Generative Model

Official PyTorch Implementation of "DLow: Diversifying Latent Flows for Diverse Human Motion Prediction". ECCV 2020.

Code accompanying ISMIR'19 paper titled "Learning to Traverse Latent Spaces for Musical Score Inpaintning"

Recurrent Variational Autoencoder with Dilated Convolutions that generates sequential data implemented in pytorch

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

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。

Generate new images with Generative Adversarial Network and Tensorflow.

GANs Implementations in Keras

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

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

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

Variational Autoencoder and Conditional Variational Autoencoder on MNIST in PyTorch

Variational Autoencoders (VAEs) in Theano for Images and Text

(beta-)VAE Tensorflow

A developing recommender system in pytorch. Algorithm: KNN, LFM, SLIM, NeuMF, FM, DeepFM, VAE and so on, which aims to fair comparison for recommender system benchmarks

An unofficial toy implementation for NVAE 《A Deep Hierarchical Variational Autoencoder》

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

Improved Wasserstein GAN (WGAN-GP) application on medical (MRI) images

Tensorflow implementation of Hyperspherical Variational Auto-Encoders

DCGAN LSGAN WGAN-GP DRAGAN Tensorflow 2

Replicating "Understanding disentangling in β-VAE"

Applied several Generative Adversarial Networks (GAN) techniques such as: DCGAN, WGAN and StyleGAN to generate Anime Faces and Handwritten Digits.

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

A collection of generative methods implemented with TensorFlow (Deep Convolutional Generative Adversarial Networks (DCGAN), Variational Autoencoder (VAE) and DRAW: A Recurrent Neural Network For Image Generation).

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

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.

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

Dataset to assess the disentanglement properties of unsupervised learning methods

A Collection of Variational Autoencoders (VAE) in PyTorch.

Pytorch implementation of BERT4Rec and Netflix VAE.

Variational Auto-Encoders in a Sequential Setting.

PyTorch implementation of "Auto-Encoding Variational Bayes"

Tensorflow implementation of conditional variational auto-encoder for MNIST

Tensorflow Implementation of Paper "Improved Training of Wasserstein GANs"

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

Recurrent Variational Autoencoder that generates sequential data implemented with pytorch

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

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

Machine learning, in numpy

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

여러가지 유명한 신경망 모델들을 제공합니다. (DCGAN, VAE, Resnet 등등)

Paper collection of Neural Text Generation

Advanced Deep Learning with Keras, published by Packt

Pytorch implementation of Hyperspherical Variational Auto-Encoders

Tensorflow Implementation of Stochastic Wasserstein Autoencoder for Probabilistic Sentence Generation (NAACL 2019).