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Stars gained: From May 8, 2026 to Nov 14, 2026, each from zeroStars gainedFrom May 8, 2026 to Nov 14, 2026, each from zero0250500May 8Nov 14, 2026SciSharp/NumSharpUnity-Technologies/ml-agents
Stars: The star count at the end of each dayStarsThe star count at the end of each day010K20KApr 25Nov 14, 2026SciSharp/NumSharpUnity-Technologies/ml-agents

Facts

Fact SciSharp/NumSharp

High Performance Computation for N-D Tensors in .NET, identical API to NumPy.

Unity-Technologies/ml-agents

The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.

Stars 1,48319,872
Net stars, last 30 days +2+110
Largest star day +2 on Jun 26, 2026+15 on Oct 13, 2026
Milestone reached in the record NoneNone
Forks 2064,520
Language C#C#
License APACHE-2.0Other license
Created Oct 10, 2018Sep 8, 2017
Last push Nov 14, 2026Oct 30, 2026
Archived NoNo
Health facts: Maintenance 2 of 4 checks (2 without data)3 of 4 checks
Health facts: Releases 2 of 3 checks (1 without data)0 of 3 checks
Health facts: Security practice 0 of 1 check (1 without data)0 of 1 check
Health facts: Community files 1 of 3 checks (2 without data)3 of 3 checks
Commits, last 13 weeks No data11
Weeks with commits, last 52 No data24 of 52
In the Repository Index since Nov 13, 2026Oct 22, 2026

Topics that all of them have on the Repository Host: 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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