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HROCH. Extremly fast c++/python symbolic regression library based on parallel local search.
sr_core. C++ symbolic regression core
Stockfish. A free and strong UCI chess engine
Things-to-bench. Example of using cp3-bench and results
cp3-bench. A benchmark tool for symbolic regression
PSE. Official PyTorch implementation of PSE/PSRN: Fast and efficient symbolic expression discovery through parallelized symbolic enumeration. Evaluates millions of expressions simultaneously on GPU with automated subtree reuse.
libmep. Multi Expression Programming - evolutionary library for data analysis (symbolic regression, classification and time series)
rils-rols. RILS-ROLS: Robust Symbolic Regression via Iterated Local Search and Ordinary Least Squares
lucaschessR2. Lucas Chess R Version 2
feature-selector. Feature selector is a tool for dimensionality reduction of machine learning datasets
gpg. Re-implementation of GP-GOMEA that attempts to be simpler to understand and use than the original.
Evolutionary-SR. Binary and Multinomial Classification through Evolutionary Symbolic Regression.
ember. Elastic Malware Benchmark for Empowering Researchers
srsd-benchmark. [DMLR] Rethinking Symbolic Regression Datasets and Benchmarks for Scientific Discovery
pmlb. PMLB: A large, curated repository of benchmark datasets for evaluating supervised machine learning algorithms.
EvolutionaryForest. An open source python library for automated feature engineering based on Genetic Programming