114 Open source projects that are alternatives of or similar to Twostagevae

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

Experiments for understanding disentanglement in VAE latent representations

Voice conversion (VC) investigation using three variants of VAE

Recurrent Variational Autoencoder that generates sequential data implemented with pytorch

Machine learning, in numpy

Annotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN, BEGAN, RaGAN, InfoGAN, fGAN, FisherGAN

Variational Auto-Encoders in a Sequential Setting.

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Variational Autoencoder trained by Feature Perceputal Loss

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

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

Advanced Deep Learning with Keras, published by Packt

A Collection of Variational Autoencoders (VAE) 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).

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

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

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

Vector Quantized VAEs - PyTorch Implementation

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

Dataset to assess the disentanglement properties of unsupervised learning methods

Tensorflow implementation of conditional variational auto-encoder for MNIST

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

Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation

(beta-)VAE Tensorflow

ACL 2020 Unsupervised Opinion Summarization as Copycat-Review Generation

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

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

PyTorch implementation of "Auto-Encoding Variational Bayes"

Deep Learning sample programs using PyTorch in C++

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

Optimus: the first large-scale pre-trained VAE language model

でぃーぷらーにんぐを無限にやってディープラーニングでDeepLearningするための実装CheatSheet

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

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

Blend beats using machine learning to create music in a fun new way.

Tensorflow implementation of variational auto-encoder for MNIST

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

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

Unofficial PyTorch Implementation of SUM-GAN from "Unsupervised Video Summarization with Adversarial LSTM Networks" (CVPR 2017)

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。

Comparison of Generative Models in Tensorflow

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

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

Python package with source code from the course "Creative Applications of Deep Learning w/ TensorFlow"

A Tensorfflow implementation of Attend, Infer, Repeat

Jupyter notebook with Pytorch implementation of Neural Ordinary Differential Equations

PyTorch Implementation of "A Hierarchical Latent Structure for Variational Conversation Modeling" (NAACL 2018 Oral)

Pytorch implementation of β-VAE

Protein function prediction using a variational autoencoder

Pytorch implementation of Hyperspherical Variational Auto-Encoders

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

Replicating "Understanding disentangling in β-VAE"

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

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

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

Paper collection of Neural Text Generation