| Name | Version | Summary | date |
| pyg-nightly |
2.7.0.dev20250814 |
Graph Neural Network Library for PyTorch |
2025-08-14 06:10:38 |
| ederiv2 |
0.1.2 |
A molecular graph generation and analysis toolkit using Graph Neural Networks |
2025-08-13 20:57:20 |
| kumo-api |
0.32.0 |
RESTful datamodels for Kumo AI |
2025-08-12 20:13:52 |
| mlip-arena |
0.1.2 |
Fair and transparent benchmark of machine learning interatomic potentials (MLIPs), beyond error-based regression metrics |
2025-08-07 22:34:50 |
| kumoai |
2.6.0 |
AI on the Modern Data Stack |
2025-07-31 22:40:51 |
| synthetic-graph-benchmarks |
0.1.1 |
Standardized benchmarks for evaluating synthetic graph generation methods |
2025-07-23 10:31:20 |
| molgraph |
0.8.0 |
Graph Neural Networks for Molecular Machine Learning |
2025-02-11 13:40:37 |
| mlip_arena |
0.0.1a1 |
None |
2024-10-21 18:47:12 |
| graphmuse |
0.0.4 |
GraphMuse is a Python Library for Graph Deep Learning on Symbolic Music. |
2024-10-18 10:35:27 |
| torch-geometric |
2.6.1 |
Graph Neural Network Library for PyTorch |
2024-09-26 08:11:30 |
| torch-spatiotemporal |
0.9.5 |
A PyTorch library for spatiotemporal data processing |
2024-07-18 14:28:33 |
| aq-utilities |
2024.7.14.4 |
Data utilities for air quality data. |
2024-07-15 17:11:33 |
| lagrangebench |
0.2.0 |
LagrangeBench: A Lagrangian Fluid Mechanics Benchmarking Suite |
2024-07-07 23:55:24 |
| atomind-mlip |
0.0.1 |
None |
2024-03-25 06:46:06 |