PointFlow : 3D Point Cloud Generation with Continuous Normalizing Flows

j-wilson/GPflowSampling implemented on torch ecosystem

High-fidelity performance metrics for generative models in PyTorch

Simple, extendable, easy to understand Glow implementation in PyTorch

📐 Jekyll theme for building a personal site, blog, project documentation, or portfolio.

A beautiful Jekyll theme for academics

arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv

Estimating Gradients for Discrete Random Variables by Sampling without Replacement

Pytorch implementations of autoregressive pixel models - PixelCNN, PixelCNN++, PixelSNAIL

Noise Conditional Score Networks

A toolkit for developing and comparing reinforcement learning algorithms.

PyTorch implementation of Bidirectional Monte Carlo, Annealed Importance Sampling, and Hamiltonian Monte Carlo

This repository contains the code to reproduce the core results from the paper "Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks".

Implementations of ideas from recent papers

Pytorch implementation of Block Neural Autoregressive Flow (http://arxiv.org/abs/1904.04676)

Web interface for browsing, search and filtering recent arxiv submissions

Reptile on supervised meta-learning datasets

Implementation of Prototypical Networks for Few Shot Learning (https://arxiv.org/abs/1703.05175) in Pytorch

PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.