https://github.com/choderalab/drug-gym
Reinforcement learning environments for drug discovery
Science Score: 13.0%
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○CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
○.zenodo.json file
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○DOI references
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○Academic publication links
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○Scientific vocabulary similarity
Low similarity (6.7%) to scientific vocabulary
Keywords
drug-discovery
reinforcement-learning
Last synced: 10 months ago
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JSON representation
Repository
Reinforcement learning environments for drug discovery
Basic Info
- Host: GitHub
- Owner: choderalab
- License: mit
- Language: Jupyter Notebook
- Default Branch: main
- Homepage: https://drug-gym.org
- Size: 153 MB
Statistics
- Stars: 9
- Watchers: 2
- Forks: 1
- Open Issues: 0
- Releases: 0
Topics
drug-discovery
reinforcement-learning
Created about 3 years ago
· Last pushed about 2 years ago
Metadata Files
Readme
License
README.md
DrugGym is an open source Python library for creating and benchmarking reinforcement learning or other decision-making algorithms for autonomous small molecule drug discovery. It provides a standard API to communicate between learning algorithms and environments.
The key features are:
- 🎯 TODO
- TODO
Installation
TODO
Getting Started
TODO
API
TODO
Citation
To cite this project in publication, please use
TODO
Owner
- Name: Chodera lab // Memorial Sloan Kettering Cancer Center
- Login: choderalab
- Kind: organization
- Email: john.chodera@choderalab.org
- Location: Memorial Sloan-Kettering Cancer Center, Manhattan, NY
- Website: http://choderalab.org
- Repositories: 269
- Profile: https://github.com/choderalab
GitHub Events
Total
- Watch event: 4
- Pull request review event: 2
- Pull request review comment event: 2
- Pull request event: 1
- Fork event: 1
Last Year
- Watch event: 4
- Pull request review event: 2
- Pull request review comment event: 2
- Pull request event: 1
- Fork event: 1
Dependencies
setup.py
pypi
- pandas *