A comprehensive framework for evaluating and developing machine learning models across the entire drug discovery pipeline. It provides standardized datasets and leaderboards for tasks ranging from target identification to clinical trials.
Tech Stack
Jupyter NotebookPharma & Biotechnology
Why TDC?
• Covers entire drug discovery lifecycle
• Standardized data loaders
• Facilitates reproducible research
Limitations
• Requires domain expertise
• Data cleaning still necessary
• Heavy Python dependencies
3/3/2026
Last Update
208
Forks
61
Issues
MIT
License
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