cavalab / srbenchLinks
A living benchmark framework for symbolic regression
☆263Updated 2 months ago
Alternatives and similar repositories for srbench
Users that are interested in srbench are comparing it to the libraries listed below
Sorting:
- A deep learning framework for symbolic optimization.☆659Updated 6 months ago
- Source code and Dataset creation for the paper "Neural Symbolic Regression That Scales"☆93Updated 3 years ago
- SR based on LLMs.☆108Updated 2 years ago
- [NeurIPS 2023] This is the official code for the paper "TPSR: Transformer-based Planning for Symbolic Regression"☆73Updated 8 months ago
- ☆30Updated 2 years ago
- Official repository for the paper "Integration of Neural Network-Based Symbolic Regression in Deep Learning for Scientific Discovery"☆75Updated 2 years ago
- Symbolic regression is the task of identifying a mathematical expression that best fits a provided dataset of input and output values. In…☆50Updated 3 years ago
- Equation Learner, a neural network approach to symbolic regression☆82Updated 9 months ago
- An open source python library for non-linear piecewise symbolic regression based on Genetic Programming☆33Updated last year
- RILS-ROLS: Robust Symbolic Regression via Iterated Local Search and Ordinary Least Squares☆15Updated last month
- [DMLR] Rethinking Symbolic Regression Datasets and Benchmarks for Scientific Discovery☆34Updated last year
- Python bindings and scikit-learn interface for the Operon library for symbolic regression.☆54Updated last month
- PyTorch implementation of the EQL network, a neural network for symbolic regression☆41Updated 4 years ago
- Deep Generative Symbolic Regression Code☆25Updated last year
- [ICLR 2025 Oral] This is the official repo for the paper "LLM-SR" on Scientific Equation Discovery and Symbolic Regression with Large Lan…☆148Updated last month
- Bayesian optimization with Standard Gaussian Processes on high dimensional benchmarks☆13Updated 2 weeks ago
- Genetic Programming version of GOMEA. Also includes standard tree-based GP, and Semantic Backpropagation-based GP☆54Updated last year
- C++ Large Scale Genetic Programming☆170Updated last month
- [ICLR 2023] This repository contains the official Pytorch implementation for the paper "Transformer-based model for symbolic regression v…☆22Updated 2 weeks ago
- Code for "Discovering Symbolic Models from Deep Learning with Inductive Biases"☆757Updated last year
- ☆64Updated 11 months ago
- [ICLR 2024 Spotlight] This is the official code for the paper "SNIP: Bridging Mathematical Symbolic and Numeric Realms with Unified Pre-t…☆56Updated 8 months ago
- ☆12Updated last year
- ☆693Updated last year
- Symbolic physics learner: Discovering governing equations via Monte Carlo tree search☆24Updated 2 years ago
- Bayesian Neural Network Surrogates for Bayesian Optimization☆53Updated last year
- A Bayesian optimization toolbox built on TensorFlow☆237Updated 3 weeks ago
- [JMLR (CCF-A)] PyPop7: A Pure-Python LibrarY for POPulation-based Black-Box Optimization (BBO), especially *Large-Scale* variants (from e…☆250Updated last week
- ☆199Updated 11 months ago
- [ICML 2024] Official Pytorch implementation of the paper "A Neural-Guided Dynamic Symbolic Network for Exploring Mathematical Expressions…☆19Updated 3 weeks ago