114 Open source projects that are alternatives of or similar to variational-autoencoder-theano

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

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

Implementation of a convolutional Variational-Autoencoder model in pytorch.

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

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

dcgan combined with vae in pytorch!

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

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

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

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

Keras implementations of three language models: character-level RNN, word-level RNN and Sentence VAE (Bowman, Vilnis et al 2016).

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

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

VPoser: Variational Human Pose Prior

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

Minimalist implementation of VQ-VAE in Pytorch

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

Implementation of VAE and Style-GAN Architecture Achieving State of the Art Reconstruction

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

Assessing Generative Models via Precision and Recall (official repository)

Repository for implementation of generative models with Tensorflow 1.x

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

EfficientMORL (ICML'21)

Playing with MNIST. Machine Learning. Generative Models.

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

Invariant representation learning from imaging and spectral data

No description or website provided.

A Repository with C++ implementations of Reinforcement Learning Algorithms (Pytorch)

Stochastic Adversarial Video Prediction

PyTorch study

Variational Autoencoder and Conditional Variational Autoencoder on MNIST in PyTorch

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.

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

Implementation of the paper - Automatic chemical design using a data-driven continuous representation of molecules

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

PyTorch implementation of VQ-VAE-2 from "Generating Diverse High-Fidelity Images with VQ-VAE-2"

Tensorflow implementation of Hyperspherical Variational Auto-Encoders

Tensorflow implementation of adversarial auto-encoder for MNIST

Replicating "Understanding disentangling in β-VAE"

Inspired by the neural style algorithm in the computer vision field, we propose a high-level language model with the aim of adapting the linguistic style.

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

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

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

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

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

DeepGTT: Learning Travel Time Distributions with Deep Generative Model

A Collection of Variational Autoencoders (VAE) in PyTorch.

Pytorch implementation of BERT4Rec and Netflix VAE.

Variational Auto-Encoders in a Sequential Setting.

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

Tensorflow implementation of conditional variational auto-encoder for MNIST

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

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

PyTorch Implementation of Google's Parallel Tacotron 2: A Non-Autoregressive Neural TTS Model with Differentiable Duration Modeling

A collection of deep learning models (PyTorch implemtation)

This repository hosts a customized PPO based agent for Carla. The goal of this project is to make it easier to interact with and experiment in Carla with reinforcement learning based agents -- this, by wrapping Carla in a gym like environment that can handle custom reward functions, custom debug output, etc.

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

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