torchdrug
enrich_omics
torchdrug | enrich_omics | |
---|---|---|
3 | 2 | |
1,392 | 17 | |
0.7% | - | |
5.7 | 3.6 | |
6 months ago | about 2 months ago | |
Python | Python | |
Apache License 2.0 | 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.
torchdrug
-
Researchers Open-Source ‘TorchDrug’: A PyTorch-Based Machine Learning Platform Designed For Drug Discovery
Quick Read | Github | Blog | Colab Tutorial
- TorchDrug: A Powerful and Flexible Machine Learning Platform for Drug Discovery
- [P] TorchDrug: A Powerful and Flexible Machine Learning Platform for Drug Discovery
enrich_omics
- A python package to perform gene enrichment analysis (Bioinformatics/ health data science)
-
Get enrichment results in python with enrich-omics!
Here's the link to the package on Github: https://github.com/saramasarone/enrich_omics!
What are some alternatives?
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dgl - Python package built to ease deep learning on graph, on top of existing DL frameworks.
RecBole - A unified, comprehensive and efficient recommendation library
chemicalx - A PyTorch and TorchDrug based deep learning library for drug pair scoring. (KDD 2022)
SuperGluePretrainedNetwork - SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)
pna - Implementation of Principal Neighbourhood Aggregation for Graph Neural Networks in PyTorch, DGL and PyTorch Geometric
graphlearn-for-pytorch - A GPU-accelerated graph learning library for PyTorch, facilitating the scaling of GNN training and inference.
prtm - Deep learning for protein science