heal-research / pyoperon
Python bindings and scikit-learn interface for the Operon library for symbolic regression.
☆44Updated last month
Alternatives and similar repositories for pyoperon:
Users that are interested in pyoperon are comparing it to the libraries listed below
- C++ Large Scale Genetic Programming☆154Updated last month
- ☆24Updated 5 months ago
- [DMLR] Rethinking Symbolic Regression Datasets and Benchmarks for Scientific Discovery☆32Updated 10 months ago
- Genetic Programming version of GOMEA. Also includes standard tree-based GP, and Semantic Backpropagation-based GP☆52Updated 11 months ago
- Turning SymPy expressions into JAX functions☆42Updated 3 years ago
- Equation Learner, a neural network approach to symbolic regression☆72Updated 3 months ago
- A paper describing the implementation of PySR and SymbolicRegression.jl☆52Updated 11 months ago
- An open source python library for non-linear piecewise symbolic regression based on Genetic Programming☆27Updated 7 months ago
- a python 3 library based on deap providing abstraction layers for symbolic regression problems.☆94Updated 3 years ago
- A software package for flexible HPC GPs☆14Updated last month
- Simple Genetic Programming for Symbolic Regression in Python3☆25Updated 2 years ago
- Minimal Implementation of Bayesian Optimization in JAX☆88Updated last week
- ☆14Updated 9 months ago
- Symbolic Regression using MCMC sampling☆25Updated 2 years ago
- PyTorch implementation of the EQL network, a neural network for symbolic regression☆40Updated 3 years ago
- A feature engineering automation tool for learning data representations☆34Updated 6 months ago
- Bayesian algorithm execution (BAX)☆49Updated 3 years ago
- A living benchmark framework for symbolic regression☆234Updated 2 months ago
- Code to accompany the paper "Discovery of Physics from Data: Universal Laws and Discrepancies"☆25Updated 4 years ago
- Efficient Differentiable n-d PDE solvers in JAX.☆22Updated 2 months ago
- A collection of graph neural networks implementations in JAX☆31Updated last year
- Official repository for the paper "Integration of Neural Network-Based Symbolic Regression in Deep Learning for Scientific Discovery"☆70Updated last year
- Python library for parallel multiobjective simulation optimization☆75Updated 4 months ago
- ☆19Updated 2 years ago
- Stencil computations in JAX☆70Updated last year
- [NeurIPS 2023] This is the official code for the paper "TPSR: Transformer-based Planning for Symbolic Regression"☆62Updated 2 months ago
- The code enables to perform Bayesian inference in an efficient manner through the use of Hamiltonian Neural Networks (HNNs), Deep Neural …☆13Updated 2 years ago
- Python-based Derivative-Free Optimization with Bound Constraints☆79Updated 4 months ago
- ☆28Updated 4 months ago
- Source code and Dataset creation for the paper "Neural Symbolic Regression That Scales"☆82Updated 3 years ago