tvopt is a prototyping and benchmarking Python framework for time-varying (or online) optimization. The framework is modular, and provides different tools for modeling dynamic optimization problems and to solve them with a wide range of well known algorithms.

code, docs, arXiv


reg4opt is a Python implementation of operator regression and convex regression methods presented in the paper “OpReg-Boost: Learning to Accelerate Online Algorithms with Operator Regression” by Nicola Bastianello, Andrea Simonetto, Emiliano Dall’Anese.

code, docs, arXiv