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High-Performance Symbolic Regression in Python and Julia
Created
2020-09-14
2,589 commits to master branch, last one 3 days ago
Physical Symbolic Optimization
Created
2023-01-27
883 commits to main branch, last one 2 months ago
Genetic Programming in Python, with a scikit-learn inspired API
Created
2015-03-26
161 commits to main branch, last one about a year ago
Distributed High-Performance Symbolic Regression in Julia
Created
2021-01-14
3,331 commits to master branch, last one a day ago
Generating sets of formulaic alpha (predictive) stock factors via reinforcement learning.
Created
2022-07-05
97 commits to master branch, last one 2 months ago
A data-driven method combining symbolic regression and compressed sensing for accurate & interpretable models.
Created
2017-10-16
201 commits to master branch, last one 12 days ago
A framework for gene expression programming (an evolutionary algorithm) in Python
Created
2018-07-20
58 commits to master branch, last one 2 years ago
C++ Large Scale Genetic Programming
Created
2019-09-10
1,085 commits to main branch, last one a day ago
SymbolicNumericIntegration.jl: Symbolic-Numerics for Solving Integrals
Created
2021-08-08
239 commits to main branch, last one 3 months ago
Ridiculously fast symbolic expressions
Created
2022-10-16
2,691 commits to master branch, last one 11 days ago
a python 3 library based on deap providing abstraction layers for symbolic regression problems.
This repository has been archived
(exclude archived)
Created
2016-12-08
312 commits to master branch, last one 3 years ago
EC-KitY: A scikit-learn-compatible Python tool kit for doing evolutionary computation.
Created
2021-11-29
583 commits to develop branch, last one about a month ago
Pruner-Zero: Evolving Symbolic Pruning Metric from scratch for LLMs
Created
2024-05-28
11 commits to main branch, last one 2 months ago
Official repository for the paper "Integration of Neural Network-Based Symbolic Regression in Deep Learning for Scientific Discovery"
Created
2020-04-16
7 commits to master branch, last one 2 years ago
Automatic equation building and curve fitting. Runs on Tensorflow. Built for academia and research.
Created
2017-05-30
17 commits to master branch, last one 6 years ago
[ICLR 2025 Oral] This is the official repo for the paper "LLM-SR" on Scientific Equation Discovery and Symbolic Regression with Large Language Models
Created
2024-04-19
28 commits to main branch, last one 3 months ago
[NeurIPS 2023] This is the official code for the paper "TPSR: Transformer-based Planning for Symbolic Regression"
Created
2023-10-09
86 commits to main branch, last one 3 months ago
Genetic Programming version of GOMEA. Also includes standard tree-based GP, and Semantic Backpropagation-based GP
Created
2019-01-04
121 commits to master branch, last one about a year ago
[ICLR 2024 Spotlight] This is the official code for the paper "SNIP: Bridging Mathematical Symbolic and Numeric Realms with Unified Pre-training"
Created
2024-01-07
33 commits to main branch, last one 3 months ago
Python bindings and scikit-learn interface for the Operon library for symbolic regression.
Created
2021-12-04
231 commits to main branch, last one 10 days ago
Symbolic regression is the task of identifying a mathematical expression that best fits a provided dataset of input and output values. In this work, we present SymbolicGPT, a novel transformer-based l...
Created
2021-06-29
231 commits to master branch, last one 3 years ago
HeuristicLab - An environment for heuristic and evolutionary optimization
Created
2022-03-21
8,915 commits to main branch, last one 11 months ago
Automatic parametric modeling with symbolic regression
Created
2024-10-01
275 commits to main branch, last one 7 days ago
[DMLR] Rethinking Symbolic Regression Datasets and Benchmarks for Scientific Discovery
Created
2022-06-09
63 commits to main branch, last one 11 months ago
A baseline implementation of genetic programming (using trees to encode programs) with some examples of usage.
Created
2022-02-24
46 commits to main branch, last one 6 months ago