softmin/ReHLine-python
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[NeurIPS 2023] Regularized Composite ReLU-ReHU Loss Minimization with Linear Computation and Linear Convergence
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#convex-optimization#empirical-risk-minimization#liblinear#machine-learning#neurips#neurips-2023#optimization#quadratic-programming
Should you contribute to softmin/ReHLine-python?
softmin/ReHLine-python has a FoundDev health score of 83/100, which puts it in the active-and-maintained tier. The maintainer team is shipping recently, issues are being closed, and a PR you open this week has a realistic chance of being reviewed.
Last push was 0 days ago — that signals an actively maintained project. New issues are likely to get a maintainer response within days. The project is written primarily in Python, so prior Python experience will shorten ramp-up.
Licensed under MIT, a standard OSI-approved license — safe to contribute to under normal employer IP policies.
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