Description
Operon is a modern C++ framework for symbolic regression that uses genetic programming to explore a hypothesis space of possible mathematical expressions in order to find the best-fitting model for a given regression target. Its main purpose is to help develop accurate and interpretable white-box models in the area of system identification.
Modern C++ framework for Symbolic Regression alternatives and similar libraries
Based on the "Artificial Intelligence" category.
Alternatively, view Operon alternatives based on common mentions on social networks and blogs.
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Eclipse Deeplearning4J
Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learn... -
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Evolving Objects
A template-based, ANSI-C++ evolutionary computation library which helps you to write your own stochastic optimization algorithms insanely fast. [LGPL]
Stream - Scalable APIs for Chat, Feeds, Moderation, & Video.
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They vary from L1 to L5 with "L5" being the highest.
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