samuelkim314 / DeepSymRegTorch
PyTorch implementation of the EQL network, a neural network for symbolic regression
☆40Updated 3 years ago
Alternatives and similar repositories for DeepSymRegTorch:
Users that are interested in DeepSymRegTorch are comparing it to the libraries listed below
- Official repository for the paper "Integration of Neural Network-Based Symbolic Regression in Deep Learning for Scientific Discovery"☆70Updated last year
- Equation Learner, a neural network approach to symbolic regression☆77Updated 5 months ago
- Source code and Dataset creation for the paper "Neural Symbolic Regression That Scales"☆88Updated 3 years ago
- [ICML 2024] Official Pytorch implementation of the paper "A Neural-Guided Dynamic Symbolic Network for Exploring Mathematical Expressions…☆16Updated 2 months ago
- Symbolic regression is the task of identifying a mathematical expression that best fits a provided dataset of input and output values. In…☆44Updated 3 years ago
- [DMLR] Rethinking Symbolic Regression Datasets and Benchmarks for Scientific Discovery☆32Updated last year
- [NeurIPS 2023] This is the official code for the paper "TPSR: Transformer-based Planning for Symbolic Regression"☆66Updated 4 months ago
- Symbolic physics learner: Discovering governing equations via Monte Carlo tree search☆22Updated last year
- Code to accompany the paper "Discovery of Physics from Data: Universal Laws and Discrepancies"☆27Updated 4 years ago
- ☆28Updated 2 years ago
- SR based on LLMs.☆99Updated 2 years ago
- ☆16Updated 11 months ago
- Interpretable machine learning (symbolic regression) using Genetic programming/Gene expression programming and Sparse regression used …☆33Updated 4 years ago
- A living benchmark framework for symbolic regression☆244Updated 3 months ago
- An open source python library for non-linear piecewise symbolic regression based on Genetic Programming☆31Updated 9 months ago
- Deep Bayesian Optimization for Problems with High-Dimensional Structure☆15Updated 2 years ago
- [ICLR 2023] This repository contains the official Pytorch implementation for the paper "Transformer-based model for symbolic regression v…☆20Updated 5 months ago
- Neural Stochastic PDEs: resolution-invariant modelling of continuous spatiotemporal dynamics☆49Updated 2 years ago
- A computational framework for finding symbolic expressions from physical datasets.☆58Updated last year
- Multi-fidelity Bayesian Optimization via Deep Neural Nets☆29Updated 4 years ago
- Symbolic Regression using MCMC sampling☆26Updated 3 years ago
- ☆60Updated 6 months ago
- Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributio…☆54Updated 2 years ago
- Symbolic genetic algorithm for discovering open-form partial differential equations☆38Updated 2 years ago
- Simple Genetic Programming for Symbolic Regression in Python3☆25Updated 3 years ago
- A paper describing the implementation of PySR and SymbolicRegression.jl☆54Updated last year
- Transformers for modeling physical systems☆135Updated last year
- Deep Generative Symbolic Regression Code☆23Updated last year
- SAASBO: a package for high-dimensional bayesian optimization☆41Updated 3 years ago
- Symplectic Recurrent Neural Networks☆28Updated 2 years ago