BLAS-like Library Instantiation Software Framework
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CasADi is a symbolic framework for numeric optimization implementing automatic differentiation in forward and reverse modes on sparse matrix-valued computational graphs. It supports self-contained C-code generation and interfaces state-of-the-art codes such as SUNDIALS, IPOPT etc. It can be used from C++, Python, Matlab/Octave, Julia or Javascript
OpenMDAO repository.
🎯 A comprehensive gradient-free optimization framework written in Python
Maze Applied Reinforcement Learning Framework
A strongly-typed genetic programming framework for Python
A metaheuristic optimization framework