A chemistry laboratory environment populated with a collection of chemistry experiment sub-environments, based on the OpenAI Gym environment framework for use with reinforcement learning applications.
Config files and scripts for SLURM
SchNetPack - Deep Neural Networks for Atomistic Systems
General purpose repo for training deep neural networks. Going to include data loading, model creation, and distributed data parallelism supported by pytorch.
Code and data for RNN/EDNN method
A collection of heat engines, based on the OpenAI Gym environment framework for use with reinforcement learning applications.
Repository to calculate state probabilities using language models extending the work done by Sprague K. et al in "Watch and Learn" https://arxiv.org/abs/2003.02647
Controlled Online Optimization Learning (COOL): Finding the Ground State of Spin Hamiltonians with Reinforcement Learning (arXiv:2003.00011)
Simple examples of extensive deep neural networks in action
Style guides for Google-originated open-source projects
A kinetic Monte Carlo Python/C++ library.
Computation using data flow graphs for scalable machine learning
This organization has no public members. You must be a member to see who’s a part of this organization.