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Stars gained: From Apr 26, 2026 to Nov 3, 2026, each from zeroStars gainedFrom Apr 26, 2026 to Nov 3, 2026, each from zero01KApr 26Nov 3, 2026bigscience-workshop/petalsdeepspeedai/DeepSpeed
Stars: The star count at the end of each dayStarsThe star count at the end of each day20K40KApr 26Nov 3, 2026bigscience-workshop/petalsdeepspeedai/DeepSpeed

Facts

Factbigscience-workshop/petals

🌸 Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading

deepspeedai/DeepSpeed

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

Stars10,68843,290
Net stars, last 30 days+90+137
Largest star day+48 on Jul 20, 2026+22 on Oct 4, 2026
Milestone reached in the recordNoneNone
Forks6515,062
LanguagePythonPython
LicenseMITAPACHE-2.0
CreatedJun 12, 2022Jan 23, 2020
Last pushSep 7, 2024Nov 3, 2026
ArchivedNoNo
Health facts: Maintenance1 of 4 checks (2 without data)4 of 4 checks
Health facts: Releases1 of 3 checks (1 without data)2 of 3 checks
Health facts: Security practice0 of 1 check (1 without data)1 of 1 check
Health facts: Community files1 of 3 checks (2 without data)3 of 3 checks
Commits, last 13 weeksNo data329
Weeks with commits, last 52No data52 of 52
In the Repository Index sinceOct 22, 2026Oct 22, 2026

Topics that all of them have on the Repository Host: deep-learning, machine-learning, pytorch, pipeline-parallelism. The facts come from the Repository Host and from the Star History that AwesomeRepos records. A shared topic does not mean that one repository can replace another. Each Health Facts row is one dimension alone; AwesomeRepos does not add them into one score. How each check is defined

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