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Stars gained: From May 8, 2026 to Nov 12, 2026, each from zeroStars gainedFrom May 8, 2026 to Nov 12, 2026, each from zero0100May 8Nov 12, 2026qualcomm/aimetpyfenn/fenn
Stars: The star count at the end of each dayStarsThe star count at the end of each day01K2KApr 25Nov 12, 2026qualcomm/aimetpyfenn/fenn

Facts

Fact qualcomm/aimet

AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.

pyfenn/fenn

Friendly Environment for Neural Networks (fenn) is a simple Python framework for building ML/DL workflows and LLM agents faster, with prebuilt trainers, agent templates, logging, configuration management, and much more.

Stars 2,74785
Net stars, last 30 days +22+4
Largest star day +9 on Aug 29, 2026+3 on Jun 23, 2026
Milestone reached in the record NoneNone
Forks 47886
Language PythonPython
License Other licenseMIT
Created Apr 21, 2020Nov 17, 2025
Last push Nov 12, 2026Aug 10, 2026
Archived NoNo
Health facts: Maintenance 2 of 4 checks (2 without data)1 of 4 checks (2 without data)
Health facts: Releases 2 of 3 checks (1 without data)2 of 3 checks (1 without data)
Health facts: Security practice 0 of 1 check (1 without data)0 of 1 check (1 without data)
Health facts: Community files 1 of 3 checks (2 without data)1 of 3 checks (2 without data)
Commits, last 13 weeks No dataNo data
Weeks with commits, last 52 No dataNo data
In the Repository Index since Nov 11, 2026Oct 22, 2026

Topics that all of them have on the Repository Host: deep-learning, open-source, machine-learning, deep-neural-networks. 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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