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Stars gained: From Jun 25, 2026 to Nov 5, 2026, each from zeroStars gainedFrom Jun 25, 2026 to Nov 5, 2026, each from zero024Jun 25Nov 5, 2026ohtsukalab/autogenu-jupyteranassinator/ilqr
Stars: The star count at the end of each dayStarsThe star count at the end of each day200300400May 6Nov 5, 2026ohtsukalab/autogenu-jupyteranassinator/ilqr

Facts

Factohtsukalab/autogenu-jupyter

An automatic code generator for nonlinear model predictive control (NMPC) and the continuation/GMRES method (C/GMRES) based numerical solvers for NMPC

anassinator/ilqr

Iterative Linear Quadratic Regulator with auto-differentiatiable dynamics models

Stars179424
Net stars, last 30 days+1+1
Largest star day+1 on Jun 25, 2026+1 on May 6, 2026
Milestone reached in the recordNoneNone
Forks3883
LanguagePythonPython
LicenseMITGPL-3.0
CreatedJun 20, 2018Nov 17, 2017
Last pushSep 11, 2026Jun 21, 2022
ArchivedNoNo
Health facts: Maintenance2 of 4 checks (2 without data)1 of 4 checks (2 without data)
Health facts: Releases2 of 3 checks (1 without data)1 of 3 checks (1 without data)
Health facts: Security practice0 of 1 check (1 without data)0 of 1 check (1 without data)
Health facts: Community files1 of 3 checks (2 without data)1 of 3 checks (2 without data)
Commits, last 13 weeksNo dataNo data
Weeks with commits, last 52No dataNo data
In the Repository Index sinceOct 22, 2026Oct 22, 2026

Topics that all of them have on the Repository Host: model-predictive-control, mpc. 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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