anthropics/uplifting-biomolecular-modeling
About the project
A reference collection of 36 drop-in optimization kits for the inference paths of open protein- and genomics-ML tools, from structure prediction to protein language models. Each kit speeds up a pinned upstream release under named modes (exact, fast, big) without changing how the tool is called.
Useful for
- Speed up protein structure prediction with a kit's fast mode while keeping the upstream tool's arguments unchanged.
- Check which optimization mode would engage on a given GPU before running a full inference job.
- Run a large prediction across multiple GPUs using a kit's big mode when a single GPU runs out of memory.
README summarized by DeepSeek V4.1 Flash. Details may be inaccurate.
Why it’s trending
- 66 stars so far today, about 91 expected by the end of the day.
- The spike has held for 2 days in a row — not a one-off blip.
- The repository is 1 day old and already has 191 stars.
- Top new repositories this week: #59.
- About 22 forks a day — people are taking the code.
Stars per day
Bars are daily stars, the line is the usual pace. Red marks spike days.
Numbers
- Total stars
- 191
- Stars in a day
- 91
- Forks
- 27
- Issues and pull requests
- 4
- Watchers
- 0
- Language
- Python
- License
- Apache-2.0
- Created
- September 17, 2026
- Last push
- September 17, 2026
Star trust
Growth looks organic: forks and discussion are in line with active projects, and stars arrive unevenly, the way people give them.
These are heuristics, not a verdict: we judge by the repository’s behavior, not by a list of stargazers.
Spotted in
- September 18, 2026Top new repositories this week: #58
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