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37 search results found

Physo ⭐ 1,669

Physical Symbolic Optimization

High-Performance Symbolic Regression in Python and Julia

Gplearn ⭐ 1,441

Genetic Programming in Python, with a scikit-learn inspired API

Symbolicregression.jl ⭐ 484

Distributed High-Performance Symbolic Regression in Julia

Alphagen ⭐ 236

Generating sets of formulaic alpha (predictive) stock factors via reinforcement learning.

A data-driven method combining symbolic regression and compressed sensing for accurate & interpretable models.

A framework for gene expression programming (an evolutionary algorithm) in Python

Symbolicnumericintegration.jl ⭐ 111

SymbolicNumericIntegration.jl: Symbolic-Numerics for Solving Integrals

C++ Large Scale Genetic Programming

Genetic Programming ⭐ 89

Symbolic regression solver, based on genetic programming methodology.

EC-KitY is a scikit-learn-compatible Python tool kit for doing evolutionary computation.

Dynamicexpressions.jl ⭐ 75

Ridiculously fast symbolic expressions

a python 3 library based on deap providing abstraction layers for symbolic regression problems.

🔮 Symbolic regression library

Automatic equation building and curve fitting. Runs on Tensorflow. Built for academia and research.

Vita - Genetic Programming Framework

Gp Gomea ⭐ 32

Genetic Programming version of GOMEA. Also includes standard tree-based GP, and Semantic Backpropagation-based GP

Symbolic Regression ⭐ 28

predicting equations from raw data with deep learning

[NeurIPS 2023] This is the official code for the paper "TPSR: Transformer-based Planning for Symbolic Regression"

Heuristiclab ⭐ 23

HeuristicLab - An environment for heuristic and evolutionary optimization

Pyoperon ⭐ 21

Python bindings and scikit-learn interface for the Operon library for symbolic regression.

Cartesian ⭐ 21

a lightweight implementation of Cartesian genetic programming with symbolic regression in mind.

Cartesian genetic programming (CGP) in pure Python.

Simplegp ⭐ 19

Simple Genetic Programming for Symbolic Regression in Python3

An approach for embedding hierarhical structures into a continuous vector space using variational autoencoders.

Ai_physicist ⭐ 15

AI Physicist, a paradigm with algorithms for learning theories from data, by Wu and Tegmark (2019)

A baseline implementation of genetic programming (using trees to encode programs) with some examples of usage.

Srsd Benchmark ⭐ 12

Rethinking Symbolic Regression Datasets and Benchmarks for Scientific Discovery

Extremly fast c++/python symbolic regression library based on parallel local search.

Multimodal Math Pretraining ⭐ 11

[ICLR 2024 Spotlight] This is the official code for the paper "SNIP: Bridging Mathematical Symbolic and Numeric Realms with Unified Pre-training"

Genetic Programming With Rademacher Complexity ⭐ 11

Code for the GP-RC algorithm presented in "Genetic Programming with Rademacher Complexity for Symbolic Regression" (IEEE CEC2019). Paper Link: https://ieeexplore.ieee.org/document/8790341

Symbolic regression by uniform random global search

Electronegativity Under Pressure ⭐ 6

This repo provides code and data to reproduce the results in the paper for "Electron Transfer Rules of Minerals under Pressure informed by Machine Learning".

Multiobjective_symbolic_regression ⭐ 6

This is a Python library that implements a Multi-objective Symbolic Regression algorithm. It can be used as a Machine Learning algorithm to create predictive models in the form of mathematical expressions.

Java Genetic Programming ⭐ 6

Genetic-programming framework for various genetic programming paradigms such as linear genetic programming, tree genetic programming, gene expression programming, etc

Autonomously driving equation discovery, from the micro to the macro, from laptops to supercomputers.

Re-implementation of GP-GOMEA that attempts to be simpler to understand and use than the original.

Related Searches

Genetic Programming Symbolic Regression (32)

Python Symbolic Regression (19)

1-37 of 37 search results

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