AnalysisG
equidock_public
| AnalysisG | equidock_public | |
|---|---|---|
| 1 | 1 | |
| 2 | 223 | |
| - | - | |
| 9.0 | 0.0 | |
| 7 days ago | 9 months ago | |
| Python | Roff | |
| MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
AnalysisG
-
What are some Physics projects using Data Science, Machine Learning, or Deep Learning?
For anyone interested, I have been actively developing a GNN framework which ingests ROOT samples and automatically constructs graphs to train on. Git repo: https://github.com/woywoy123/AnalysisG
equidock_public
What are some alternatives?
Geant4-P2P-Investigation - My University of York Theoretical Physics BSc dissertation and accompanying code, investigating the optimal detector system for utilising a (p,2p) interaction when determining the proton binding energy within Carbon-12 atoms.
threejs-sandbox - Set of experiments and extensions to THREE.js.
particle - Package to deal with particles, the PDG particle data table, PDGIDs, etc.
DGFraud - A Deep Graph-based Toolbox for Fraud Detection
DeepPurpose - A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)
e2cnn - E(2)-Equivariant CNNs Library for Pytorch
EquiBind - EquiBind: geometric deep learning for fast predictions of the 3D structure in which a small molecule binds to a protein