114 Open source projects that are alternatives of or similar to Sylvester Flows

Experiments for understanding disentanglement in VAE latent representations

Recurrent Variational Autoencoder that generates sequential data implemented with pytorch

Paper collection of Neural Text Generation

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

Ladder Variational Autoencoders (LVAE) in PyTorch

Variational Autoencoder trained by Feature Perceputal Loss

Collection of generative models in Tensorflow

Machine learning, in numpy

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

Voice conversion (VC) investigation using three variants of VAE

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).

Implementation of Sequential Attend, Infer, Repeat (SQAIR)

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

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

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

Vector Quantized VAEs - PyTorch Implementation

Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation

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

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

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

Implementation of reinforcement learning approach to make a car learn to drive smoothly in minutes

Advanced Deep Learning with Keras, published by Packt

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

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

Comparison of Generative Models in Tensorflow

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

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

Tensorflow implementation of variational auto-encoder for MNIST

A Tensorfflow implementation of Attend, Infer, Repeat

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

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

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。

Protein function prediction using a variational autoencoder

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

Deep Learning sample programs using PyTorch in C++

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

Jupyter notebook with Pytorch implementation of Neural Ordinary Differential Equations

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

Pytorch implementation of β-VAE

(beta-)VAE Tensorflow

Pytorch implementation of Hyperspherical Variational Auto-Encoders

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

ACL 2020 Unsupervised Opinion Summarization as Copycat-Review Generation

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

🧶 Modular VAE disentanglement framework for python built with PyTorch Lightning ▸ Including metrics and datasets ▸ With strongly supervised, weakly supervised and unsupervised methods ▸ Easily configured and run with Hydra config ▸ Inspired by disentanglement_lib

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

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

PyTorch implementation of "Auto-Encoding Variational Bayes"

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

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

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

A Collection of Variational Autoencoders (VAE) in PyTorch.

Variational Auto-Encoders in a Sequential Setting.

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

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