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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 zero02.5K5KApr 26Nov 3, 2026deepspeedai/DeepSpeedpytorch/pytorch
Stars: The star count at the end of each dayStarsThe star count at the end of each day50K75K100KApr 26Nov 3, 2026deepspeedai/DeepSpeedpytorch/pytorch

Facts

Factdeepspeedai/DeepSpeed

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

pytorch/pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Stars43,290105,114
Net stars, last 30 days+137+1,562
Largest star day+22 on Oct 4, 2026+439 on Oct 11, 2026
Milestone reached in the recordNone100,000 on Jun 14, 2026
Forks5,06231,306
LanguagePythonPython
LicenseAPACHE-2.0Other license
CreatedJan 23, 2020Aug 13, 2016
Last pushNov 3, 2026Nov 4, 2026
ArchivedNoNo
Health facts: Maintenance4 of 4 checks4 of 4 checks
Health facts: Releases2 of 3 checks3 of 3 checks
Health facts: Security practice1 of 1 check1 of 1 check
Health facts: Community files3 of 3 checks3 of 3 checks
Commits, last 13 weeks3295,017
Weeks with commits, last 5252 of 5252 of 52
In the Repository Index sinceOct 22, 2026Oct 22, 2026

Topics that all of them have on the Repository Host: deep-learning, gpu, machine-learning. 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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