HEP.TrkX is now concluded, and has been followed up by the DOE HEP Exa.TrkX project.

• HEP.TrkX github (public code, artifacts)

• Paolo Calafiura (PI), Steve Farrell, Xiangyang Ju, Prabhat (LBNL)
• Giuseppe Cerati, Lindsey Gray, Jim Kowalkowski, Panagiotis Spentzouris (co-PI), Aristeidis Tsaris (FNAL)
• Maria Spiropulu (co-PI), Jean-Roch Vlimant, Alexander Zlokapa(Caltech)

• aCTS a Common Tracking Software gitkit by Noemi Calace, Christian Gumpert, Julia Hrdinka & Andreas Salzburger
• The Parallel Kalman Filter Project
• NVIDIA
• SuperMicro

• November 1-3 2016 1st HEP.TrKX workshop at FNAL Indico agenda
• October 16-17 2016 at LBNL hands-on working meeting after CHEP in SF
• October 8,9,10 2016 during CPAD at Caltech Indico agenda

• Slack PRIVATE
• Development github PRIVATE

Publications
• Novel deep learning methods for track reconstruction
• The HEP.TrkX Project: deep neural networks for HL-LHC online and offline tracking

Conference Contributions
• HEP.TrkX Charged Particle Tracking using Graph Neural Networks @ Connecting the Dots / Intelligent Trackers 2019 Workshop
• HEP.TrkX: Novel deep learning methods for track reconstruction @ Connecting the Dots 2018 Workshop
• Particle Track Reconstruction with Deep Learning @ Deep Learning for Physical Sciences NIPS 2017 Workshop
• NIPS 2017 demo (poster)
• August 21-25 2017 ACAT
• July 19-28 2017 Hammers and Nails
• June 6-9 2017 ATLAS Machine Learning Workshop
• Convolutional NNs for Tracking DS@HEP Workshop at FNAL
• HEP.TrkX IML Machine Learning Workshop
• The HEP.TrkX project: Deep Neural Networks for HEP Tracking @ CTD/WIT 2017
• ML LHC Tracking Challenge @ CHEP 2016