Symbolic regression solver, based on genetic programming methodology.
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Updated
May 10, 2015 - Java
Symbolic regression solver, based on genetic programming methodology.
Symbolic Regression GP System made in Java. Uses an 'acyclic graph' representation and uses 'fitness predictors'.
Symbolic regression using Gram library.
Stack based symbolic regression using Scikit-learn estimator base classes.
Genetic-programming framework for various genetic programming paradigms such as linear genetic programming, tree genetic programming, gene expression programming, etc
Genetic Programming was used to build nonlinear models of data gathered from a smartwatch. Results were actually amazing and will be published.
WARNING: This is just the results and scripts for analysis (GP system is a variation of jGPv9). A project using genetic programming to perform symbolic regression on fMRI data. There is a need for this because typical approaches use only linear regression. This is bad because the breain is a nonlinear system, and a linear model of a nonlinear sy…
OCaml Genetic Algorithm student project for French TIPE
Data, scripts, and an (old) version of the GP system used to generate the nonlinear models modelling the fMRI data. Results publiched in CIBCB 2017.
Generating Nonlinear models of data from 6 sensors placed on a human in a very controlled environment.
tree-based genetic programming implemented using C#
Package provides C++ implementation of linear genetic programming algorithm
Gene expression programming implemented using C#
Grammatical evolution implemented using C#
Linear Genetic Programming implemented in C#
Deep Learning and Decision Trees Ensemble Methods based Audiovisual Perceived Quality Models. These models are based on the INRS audiovisual quality dataset that can be found on this GitHub repository.
Haskell implementation of a symbolic regression algorithm. The regression search is done by means of the IT data structure, and the general structure of the algorithm is based on the AInet algorithm (artificial imunne network).
🔮 Symbolic regression library
Simple symbolic regression with genetic programming
predicting equations from raw data with deep learning
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