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reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction

reinvent

rest

This is an official implementation for "ResT: An Efficient Transformer for Visual Recognition".

rl-adventure-2

PyTorch0.4 implementation of: actor critic / proximal policy optimization / acer / ddpg / twin dueling ddpg / soft actor critic / generative adversarial imitation learning / hindsight experience replay

rl-paper-study

Reinforcement Learning paper review study

rotation1repository

Emad Tajkhorshid Lab Rotation

rotation2repository

sars-cov-inhibitors-chemai

Large-scale ligand-based virtual screening for potential SARS-Cov-2 inhibitors using a deep neural network

schnet

SchNet - a deep learning architecture for quantum chemistry

schnetpack

SchNetPack - Deep Neural Networks for Atomistic Systems

sgconv

sgtpy

state-spaces

Sequence Modeling with Structured State Spaces

summarize-from-feedback

Code for "Learning to summarize from human feedback"

tensorflow2-generative-models

Implementations of a number of generative models in Tensorflow 2. GAN, VAE, Seq2Seq, VAEGAN, GAIA, Spectrogram Inversion. Everything is self contained in a jupyter notebook for easy export to colab.

torchmd-net

Neural network potentials based on graph neural networks and equivariant transformers

vaegan_md

vmd_plumed

Main code repository for the PLUMED-GUI plugin for VMD