cavalab / srbench
A living benchmark framework for symbolic regression
☆251Updated last week
Alternatives and similar repositories for srbench:
Users that are interested in srbench are comparing it to the libraries listed below
- A deep learning framework for symbolic optimization.☆628Updated 3 months ago
- Source code and Dataset creation for the paper "Neural Symbolic Regression That Scales"☆87Updated 3 years ago
- SR based on LLMs.☆98Updated 2 years ago
- Official repository for the paper "Integration of Neural Network-Based Symbolic Regression in Deep Learning for Scientific Discovery"☆70Updated 2 years ago
- [NeurIPS 2023] This is the official code for the paper "TPSR: Transformer-based Planning for Symbolic Regression"☆66Updated 5 months ago
- Symbolic regression is the task of identifying a mathematical expression that best fits a provided dataset of input and output values. In…☆45Updated 3 years ago
- Equation Learner, a neural network approach to symbolic regression☆77Updated 6 months ago
- An open source python library for non-linear piecewise symbolic regression based on Genetic Programming☆31Updated 10 months ago
- ☆28Updated 2 years ago
- PyTorch implementation of the EQL network, a neural network for symbolic regression☆39Updated 4 years ago
- [ICLR 2023] This repository contains the official Pytorch implementation for the paper "Transformer-based model for symbolic regression v…☆20Updated last week
- [DMLR] Rethinking Symbolic Regression Datasets and Benchmarks for Scientific Discovery☆33Updated last year
- C++ Large Scale Genetic Programming☆162Updated this week
- RILS-ROLS: Robust Symbolic Regression via Iterated Local Search and Ordinary Least Squares☆12Updated last month
- [ICML 2024] Official Pytorch implementation of the paper "A Neural-Guided Dynamic Symbolic Network for Exploring Mathematical Expressions…☆17Updated 3 months ago
- Deep Generative Symbolic Regression Code☆23Updated last year
- Genetic Programming version of GOMEA. Also includes standard tree-based GP, and Semantic Backpropagation-based GP☆53Updated last year
- Python bindings and scikit-learn interface for the Operon library for symbolic regression.☆50Updated last week
- Pytorch implementation of Deep Symbolic Regression☆11Updated 3 years ago
- Symbolic physics learner: Discovering governing equations via Monte Carlo tree search☆23Updated last year
- ☆17Updated last year
- Symbolic Regression using MCMC sampling☆27Updated 3 years ago
- symbolic regression☆39Updated 2 years ago
- predicting equations from raw data with deep learning☆57Updated 6 years ago
- Code for "Discovering Symbolic Models from Deep Learning with Inductive Biases"☆746Updated last year
- [ICLR 2024 Spotlight] This is the official code for the paper "SNIP: Bridging Mathematical Symbolic and Numeric Realms with Unified Pre-t…☆52Updated 5 months ago
- ☆62Updated 8 months ago
- A computational framework for finding symbolic expressions from physical datasets.☆59Updated 2 years ago
- [ICLR 2025 Oral] This is the official repo for the paper "LLM-SR" on Scientific Equation Discovery and Symbolic Regression with Large Lan…☆87Updated last month
- A feature engineering automation tool for learning data representations☆34Updated last month