| Additional Machine Learning Project Ideas and Areas of Interest |
| Automatic code generation for fast inference in the CMS tracking software |
| Big Data Tools for Physics Analysis |
| Code Benchmark and Consolidation in SixTrack |
| Efficient Python routines for analysis on massively multi-threaded platforms - Python bindings for the Hydra C++ library |
| Electron-ion collisions in Pythia 8 |
| Enhance C-Reduce to work with ROOT |
| Event Streaming Service - A new approach to event processing |
| Extend clad - The Automatic Differentiation |
| Improvement of the TestU01 Suite for PseudoRandom Number Generation |
| Improvements in vectorization and parallelization of ROOT Math libraries |
| Integration of Apache Parquet reading capabilities in ROOT data analyses |
| Integration of TMVA and OpenML platform |
| Interface mlr package with RMVA |
| Jet clustering optimizations in fads |
| Kubernetes CephFS driver using FUSE |
| Launching Wagon, a WebAssembly interpreter in Go |
| Machine Learning Project - Convolutional Deep Neural Networks on GPUs for Particle Physics Applications |
| Machine Learning Project - Multi-target Regression for Particle Physics |
| Message Passing Interface for ROOT (ROOTMpi) |
| New error control methods for integration of trajectories |
| New physics models in SixTrack |
| Next generation of CMS data replication system |
| Optimisation of GeantV HPC workload balancing by use of unsupervised machine learning |
| Optimize and Integrate Standalone Tracking Library (SixTrackLib) |
| Optimizing Computing Operations with Machine Learning algorithms |
| Parallelization and C++ implementation of ultra-fast detector simulation package, FALCON |
| Rucio - The ATLAS Distributed Data Management System |
| SixTrack continuous integration and test coverage with CDash and coverity |
| Smart data structures in CUDA |
| State-of-The-Art Web Interface for Describing Accelerator and Associated Simulation |
| Tensorflow-TMVA GAN Interface Applied to NOvA Neutrino Events. |
| Updating gopy to support Python3 and PyPy |
| Using Pseudo-random numbers repeateably in a fine-grain multithreaded simulation |
| Visualization tools for Scikit-HEP project |
| hepsoftware.org - The HEP Software and Computing Knowledge Base |