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aiwae

(AIWAE) Improving importance weighted auto-encoders with annealed importance sampling

algorithms

context-dependent-gating-rnn

Algorithm to alleviate catastrophic forgetting in neural networks by gating hidden units, in RNNs

dca

examples

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

flows-on-manifolds

Normalizing Flow on Tori

gym

A toolkit for developing and comparing reinforcement learning algorithms.

importance_weighted_autoencoders

A PyTorch Implementation of the Importance Weighted Autoencoders

lecture_notes_gr

Lecture Notes on General Relativity, based on lectures by Dr. Frederic P. Schuller in 2015

liquidfun

2D physics engine for games

mbar_pytorch

mpi4py

Python bindings for MPI

neuralnetwork_gpu-cuda-_mnist

A CUDA parallel implementation of feed forward neural network for MNIST recognition on GPU

nflows

Normalizing flows in PyTorch

nll_mbar

nonstandarddistributionsampling

nsf

Code for Neural Spline Flows paper

openbabel

Open Babel is a chemical toolbox designed to speak the many languages of chemical data.

openmm

OpenMM is a toolkit for molecular simulation using high performance GPU code.

openparam

papers

personal_website

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch-made

MADE (Masked Autoencoder Density Estimation) implementation in PyTorch

rbm

realnvp

A PyTorch Implementation of Density Estimation Using Real NVP

researchscripts

starter-academic

🎓 Easily create a beautiful academic résumé or educational website using Hugo, GitHub, and Netlify

statisticsexamples

Codes showing statistics theory and methods using simple examples.

td-vae

Temporal Difference Variational Auto-Encoder (TD-VAE) (Implementation in PyTorch)