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This page shows the Star History and the facts of 2 to 5 repositories in the Repository Index, side by side. You choose the repositories. The page does not rank them.

Stars gained: From May 11, 2026 to Nov 13, 2026, each from zeroStars gainedFrom May 11, 2026 to Nov 13, 2026, each from zero050100May 11Nov 13, 2026fengbintu/Neural-Networks-on-Silicontirthajyoti/Papers-Literature-ML-DL-RL-AI
Stars: The star count at the end of each dayStarsThe star count at the end of each day2.5K3KMay 8Nov 13, 2026fengbintu/Neural-Networks-on-Silicontirthajyoti/Papers-Literature-ML-DL-RL-AI

Facts

Fact fengbintu/Neural-Networks-on-Silicon

This is originally a collection of papers on neural network accelerators. Now it's more like my selection of research on deep learning and computer architecture.

tirthajyoti/Papers-Literature-ML-DL-RL-AI

Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning

Stars 2,1362,967
Net stars, last 30 days +6+10
Largest star day +3 on Oct 5, 2026+3 on Jun 16, 2026
Milestone reached in the record NoneNone
Forks 392801
Language Not reportedNot reported
License No licenseMIT
Created Jan 25, 2016Jan 16, 2018
Last push Mar 30, 2026Feb 18, 2023
Archived NoNo
Health facts: Maintenance 1 of 4 checks (2 without data)1 of 4 checks (2 without data)
Health facts: Releases 0 of 3 checks (2 without data)0 of 3 checks (2 without data)
Health facts: Security practice 0 of 1 check (1 without data)0 of 1 check (1 without data)
Health facts: Community files 0 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, 2026Nov 11, 2026

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