Symbolic regression: Difference between revisions

Revision as of 16:57, 8 November 2022

Revision as of 18:08, 30 November 2022

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=== End-user software ===

* [[QLattice]] is a quantum-inspired simulation and machine learning technology that helps you search through an infinite list of potential mathematical models to solve youra problem.<ref>{{Cite web|url=https://docs.abzu.ai|title=Feyn is a Python module for running the QLattice|date=June 22, 2022}}</ref><ref name="srfeyn" />

* [https://github.com/brendenpetersen/deep-symbolic-optimization uDSR] is a deep learning framework for symbolic optimization tasks<ref>{{Cite web|url=https://github.com/brendenpetersen/deep-symbolic-optimization|title=Deep symbolic optimization|website=[[GitHub]] |date=June 22, 2022}}</ref>

* [https://github.com/darioizzo/dcgp/ dCGP], differentiable Cartesian Genetic Programming in python (free, open source) <ref>{{Cite web|url=https://darioizzo.github.io/dcgp/|title=Differentiable Cartesian Genetic Programming, v1.6 Documentation|date=June 10, 2022}}</ref><ref>{{Cite journal|title=Differentiable genetic programming|first1=Dario|last1=Izzo|first2=Francesco|last2=Biscani|first3=Alessio|last3=Mereta|journal=Proceedings of the European Conference on Genetic Programming|year=2016 |arxiv=1611.04766 }}</ref>