GitHub

Deep Reinforcement Learning in Robotics

In this tutorial, we'll be creating artificially intelligent agents that learn from interacting with their environment, gathering experience, and a system of rewards with deep reinforcement learning ...
cmu.edu

Mellon College of Science

A new Ph.D. program in the physics department designed for students who want to be at the forefront of cosmic discovery, data science and interdisciplinary research. The Mellon College of Science is ...
C&EN

MLatom 3: A Platform for Machine Learning-Enhanced Computational Chemistry Simulations and Workflows

State Key Laboratory of Physical Chemistry of Solid Surfaces, College of Chemistry and Chemical Engineering, and Innovation Laboratory for Sciences and Technologies of Energy Materials of Fujian ...
C&EN

Machine Learning with Enormous “Synthetic” Data Sets: Predicting Glass Transition Temperature of Polyimides Using Graph Convolutional Neural Networks

You are free to share (copy and redistribute) this article in any medium or format within the parameters below: Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must ...
snmjournals.org

PyTomography: A Novel Software For Rapid Reliable Tomographic Reconstruction

Introduction: We developed a novel open-source software, PyTomography, for tomographic image reconstruction using the python package PyTorch. The software is capable of traditional reconstruction ...
eLife

DeepEthogram, a machine learning pipeline for supervised behavior classification from raw pixels

Videos of animal behavior are used to quantify researcher-defined behaviors of interest to study neural function, gene mutations, and pharmacological therapies. Behaviors of interest are often scored ...