cavalab / srbenchLinks
A living benchmark framework for symbolic regression
☆268Updated 3 weeks ago
Alternatives and similar repositories for srbench
Users that are interested in srbench are comparing it to the libraries listed below
Sorting:
- Source code and Dataset creation for the paper "Neural Symbolic Regression That Scales"☆98Updated 4 years ago
- A deep learning framework for symbolic optimization.☆675Updated 7 months ago
- SR based on LLMs.☆109Updated 2 years ago
- [NeurIPS 2023] This is the official code for the paper "TPSR: Transformer-based Planning for Symbolic Regression"☆75Updated 9 months ago
- Official repository for the paper "Integration of Neural Network-Based Symbolic Regression in Deep Learning for Scientific Discovery"☆76Updated 2 years ago
- ☆30Updated 2 years ago
- Equation Learner, a neural network approach to symbolic regression☆82Updated 11 months ago
- Symbolic regression is the task of identifying a mathematical expression that best fits a provided dataset of input and output values. In…☆51Updated 3 years ago
- Python bindings and scikit-learn interface for the Operon library for symbolic regression.☆54Updated 3 weeks ago
- [DMLR] Rethinking Symbolic Regression Datasets and Benchmarks for Scientific Discovery☆35Updated last year
- An open source python library for non-linear piecewise symbolic regression based on Genetic Programming☆34Updated last year
- PyTorch implementation of the EQL network, a neural network for symbolic regression☆41Updated 4 years ago
- RILS-ROLS: Robust Symbolic Regression via Iterated Local Search and Ordinary Least Squares☆15Updated 2 months ago
- ☆66Updated last year
- Deep Generative Symbolic Regression Code☆26Updated last year
- Genetic Programming version of GOMEA. Also includes standard tree-based GP, and Semantic Backpropagation-based GP☆54Updated last year
- A Bayesian optimization toolbox built on TensorFlow☆239Updated last week
- Code for "Discovering Symbolic Models from Deep Learning with Inductive Biases"☆760Updated last year
- C++ Large Scale Genetic Programming☆172Updated 3 weeks ago
- ☆703Updated last year
- [ICLR 2023] This repository contains the official Pytorch implementation for the paper "Transformer-based model for symbolic regression v…☆24Updated last month
- [ICML 2024] Official Pytorch implementation of the paper "A Neural-Guided Dynamic Symbolic Network for Exploring Mathematical Expressions…☆19Updated 2 months ago
- Bayesian optimization with Standard Gaussian Processes on high dimensional benchmarks☆15Updated last month
- [JMLR (CCF-A)] PyPop7: A Pure-Python LibrarY for POPulation-based Black-Box Optimization (BBO), especially *Large-Scale* variants (from e…☆252Updated 2 weeks ago
- A paper describing the implementation of PySR and SymbolicRegression.jl☆58Updated last year
- ☆12Updated last year
- [ICLR 2024 Spotlight] This is the official code for the paper "SNIP: Bridging Mathematical Symbolic and Numeric Realms with Unified Pre-t…☆57Updated 10 months ago
- ☆203Updated last year
- Official code implementation for the ACL 2024 Student Research Workshop paper "In-Context Symbolic Regression: Leveraging Large Language …☆13Updated 11 months ago
- [Nature Communications 2025] Interactive Symbolic Regression through Offline Reinforcement Learning☆24Updated 3 months ago