deep-symbolic-mathematics / TPSRLinks
[NeurIPS 2023] This is the official code for the paper "TPSR: Transformer-based Planning for Symbolic Regression"
☆70Updated 7 months ago
Alternatives and similar repositories for TPSR
Users that are interested in TPSR are comparing it to the libraries listed below
Sorting:
- SR based on LLMs.☆106Updated 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…☆144Updated last week
- Symbolic regression is the task of identifying a mathematical expression that best fits a provided dataset of input and output values. In…☆49Updated 3 years ago
- [ICLR 2024 Spotlight] This is the official code for the paper "SNIP: Bridging Mathematical Symbolic and Numeric Realms with Unified Pre-t…☆55Updated 8 months ago
- Source code and Dataset creation for the paper "Neural Symbolic Regression That Scales"☆91Updated 3 years ago
- ☆29Updated 2 years ago
- Official repository for the paper "Integration of Neural Network-Based Symbolic Regression in Deep Learning for Scientific Discovery"☆74Updated 2 years ago
- [ICLR 2023] This repository contains the official Pytorch implementation for the paper "Transformer-based model for symbolic regression v…☆21Updated last month
- [DMLR] Rethinking Symbolic Regression Datasets and Benchmarks for Scientific Discovery☆33Updated last year
- [ICML2025 Oral] LLM-SRBench: A New Benchmark for Scientific Equation Discovery with Large Language Models☆46Updated last week
- [ICML 2024] Official Pytorch implementation of the paper "A Neural-Guided Dynamic Symbolic Network for Exploring Mathematical Expressions…☆19Updated this week
- Symbolic physics learner: Discovering governing equations via Monte Carlo tree search☆24Updated 2 years ago
- PyTorch implementation of the EQL network, a neural network for symbolic regression☆41Updated 4 years ago
- Deep Generative Symbolic Regression Code☆24Updated last year
- [ICLR 2024 Spotlight] SNIP on Symbolic Regression: Deep Symbolic Regression with Multimodal Pretraining☆18Updated 8 months ago
- Library augmented Symbolic Regression in Julia☆24Updated last week
- A living benchmark framework for symbolic regression☆259Updated last month
- ☆11Updated last year
- Equation Learner, a neural network approach to symbolic regression☆79Updated 9 months ago
- Official Repository for LLAMBO "Large Language Models to Enhance Bayesian Optimization"☆72Updated 6 months ago
- A paper describing the implementation of PySR and SymbolicRegression.jl☆58Updated last year
- Deep identification of symbolic open-form PDEs via enhanced reinforcement-learning☆37Updated 6 months ago
- An open source python library for non-linear piecewise symbolic regression based on Genetic Programming☆32Updated last year
- [ICLR 2024] Scaling physics-informed hard constraints with mixture-of-experts.☆32Updated last year
- ☆18Updated last year
- Symbolic genetic algorithm for discovering open-form partial differential equations☆40Updated 3 years ago
- Official code implementation for the ACL 2024 Student Research Workshop paper "In-Context Symbolic Regression: Leveraging Large Language …☆12Updated 9 months ago
- ☆63Updated 10 months ago
- A computational framework for finding symbolic expressions from physical datasets.☆61Updated 2 years ago
- Bayesian optimization with Standard Gaussian Processes on high dimensional benchmarks☆13Updated 2 months ago