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Stars gained: From Oct 27, 2026 to Nov 4, 2026, each from zeroStars gainedFrom Oct 27, 2026 to Nov 4, 2026, each from zero0100Oct 27Nov 4, 2026aa1143/NamiGPTray-project/ray
Stars: The star count at the end of each dayStarsThe star count at the end of each day020K40KApr 26Nov 4, 2026aa1143/NamiGPTray-project/ray

Facts

Factaa1143/NamiGPT

零基础入门大模型(LLM)的基础教程:从零手写 GPT-2,一行行看懂大模型是怎么工作的 | Build GPT-2 from scratch in PyTorch, step by step

ray-project/ray

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

Stars18244,202
Net stars, last 30 daysNot recorded+269
Largest star day+73 on Oct 28, 2026+23 on May 8, 2026
Milestone reached in the record100 on Oct 28, 2026None
Forks178,247
LanguagePythonPython
LicenseMITAPACHE-2.0
CreatedOct 28, 2026Oct 25, 2016
Last pushOct 28, 2026Nov 5, 2026
ArchivedNoNo
Health facts: Maintenance3 of 4 checks4 of 4 checks
Health facts: Releases0 of 3 checks (1 without data)1 of 3 checks
Health facts: Security practice0 of 1 check1 of 1 check
Health facts: Community files1 of 3 checks2 of 3 checks
Commits, last 13 weeks161,123
Weeks with commits, last 521 of 5252 of 52
In the Repository Index sinceOct 29, 2026Oct 22, 2026

Topics that all of them have on the Repository Host: deep-learning, large-language-models, llm, pytorch. 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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