386 Open source projects that are alternatives of or similar to Factorvae

Experiments for understanding disentanglement in VAE latent representations

Pytorch implementation of β-VAE

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

Ladder Variational Autoencoders (LVAE) in PyTorch

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

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

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

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

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

e3d-lstm; Eidetic 3D LSTM A Model for Video Prediction and Beyond

Variational Auto-Encoders in a Sequential Setting.

To obtain high resolution face images from CelebA

Official Pytorch Implementation for ICML'19 paper: Unsupervised Deep Learning by Neighbourhood Discovery

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

Unofficial PyTorch Implementation of Unsupervised Data Augmentation.

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

Flappy Bird AI using Evolution Strategies

The standard package for machine learning with noisy labels, finding mislabeled data, and uncertainty quantification. Works with most datasets and models.

Convolutional Autoencoder for Loop Closure

R package for automation of machine learning, forecasting, feature engineering, model evaluation, model interpretation, data generation, and recommenders.

code/webpage for the DeepMapping project

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

Bayesian Coherent Point Drift (BCPD/BCPD++); Source Code Available

Complete-Life-Cycle-of-a-Data-Science-Project

A flexible version of CorEx developed for bio-data challenges that handles missing data, continuous/discrete variables, multi-CPU, overlapping structure, and includes visualizations

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

A Collection of Variational Autoencoders (VAE) in PyTorch.

A curated list of community detection research papers with implementations.

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

[CVPR19] DeepCO3: Deep Instance Co-segmentation by Co-peak Search and Co-saliency (Oral paper)

Pytorch code for our ICLR 2017 paper "Layered-Recursive GAN for image generation"

Training and evaluating a variational autoencoder for pan-cancer gene expression data

A Compositional Object-Based Approach to Learning Physical Dynamics

Gradient Origin Networks - a new type of generative model that is able to quickly learn a latent representation without an encoder

[NeurIPS 2019] Spherical Text Embedding

The authors' implementation of Unsupervised Adversarial Learning of 3D Human Pose from 2D Joint Locations

t-Distributed Stochastic Neighbor Embedding (t-SNE) in Go

An unsupervised learning framework for depth and ego-motion estimation from monocular videos

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

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

Deep learning using tensorflow

MSG-GAN: Multi-Scale Gradients GAN (Architecture inspired from ProGAN but doesn't use layer-wise growing)

An Unsupervised Learning Framework for Moving Object Detection From Videos

Deep Learning sample programs using PyTorch in C++

Latent space autoregression for novelty detection.

Unofficial implementation with pytorch DistributedDataParallel for "MoCo: Momentum Contrast for Unsupervised Visual Representation Learning"

Tensorflow implementation of conditional variational auto-encoder for MNIST

Tensorflow implementation of different GANs and their comparisions

Unsupervised learning and generative models in python/pytorch.

VIP cheatsheets for Stanford's CS 229 Machine Learning

A scalable implementation of "Learning Structural Node Embeddings Via Diffusion Wavelets (KDD 2018)".

A Spark/Scala implementation of the isolation forest unsupervised outlier detection algorithm.

Tensorflow implementation of Unsupervised Depth Completion from Visual Inertial Odometry (in RA-L January 2020 & ICRA 2020)

Reference implementation of Diffusion2Vec (Complenet 2018) built on Gensim and NetworkX.

Split-Brain Autoencoders: Unsupervised Learning by Cross-Channel Prediction. In CVPR, 2017.

Machine learning, in numpy

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

A curated list of pretrained sentence and word embedding models