Official implementation of the paper *PDE-Driven Spatiotemporal Disentanglement*

Unsupervised Scalable Representation Learning for Multivariate Time Series: Experiments

Code for A Hierarchical Model for Data-to-Text Generation (Rebuffel, Soulier, Scoutheeten, Gallinari; ECIR 2020)

Unsupervised text tokenizer focused on computational efficiency

Repository for Unsupervised Inpainting for Occluded Sea Surface Temperature Sequences (Yin et al., 2019)

LPIPS metric. pip install lpips

code for "Residual Flows for Invertible Generative Modeling".

Stochastic Adversarial Video Prediction

This repository contains the code to reproduce the core results from the paper "Unsupervised Learning of Disentangled and Interpretable Representations from Sequential Data"

Unsupervised Learning of Factorized Representation

Google Research

The author's officially unofficial PyTorch BigGAN implementation.

Sprites video data used in the ICML 2018 paper

Code for 'The Grand Atari Challenge dataset' paper

code for "Isolating Sources of Disentanglement in Variational Autoencoders".

Stochastic Adaptive Neural Architecture Search

Official Code for Invertible Residual Networks

Minimalist implementation of VQ-VAE in Pytorch

An implementation using pytorch of the models presented in the Multi-View Data Generation Without View Supervision paper.

Code for paper Unsupervised Object Segmentation by Redrawing

Super easy library for BERT based NLP models

Adaptive Experimentation Platform

Bayesian optimization in PyTorch

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

Code For Unsupervised Adversarial Image Inpaiting paper

Code accompanying the paper "Effective Estimation of Deep Generative Language Models".

This is a tool intended to monitor the GPU usage on the various GPU-servers at the LIP6 Lab, Paris

Kalman Variational Auto-Encoder

Code for "Inference Suboptimality in Variational Autoencoders"

Breze with all the stuff.