samuelkim314 / DeepSymRegTorchLinks
PyTorch implementation of the EQL network, a neural network for symbolic regression
☆42Updated 4 years ago
Alternatives and similar repositories for DeepSymRegTorch
Users that are interested in DeepSymRegTorch are comparing it to the libraries listed below
Sorting:
- Official repository for the paper "Integration of Neural Network-Based Symbolic Regression in Deep Learning for Scientific Discovery"☆76Updated 2 years ago
- Equation Learner, a neural network approach to symbolic regression☆84Updated last year
- Deep Bayesian Optimization for Problems with High-Dimensional Structure☆16Updated 3 years ago
- Source code and Dataset creation for the paper "Neural Symbolic Regression That Scales"☆106Updated 4 months ago
- SAASBO: a package for high-dimensional bayesian optimization☆51Updated 4 years ago
- Multi-fidelity Bayesian Optimization via Deep Neural Nets☆34Updated 5 years ago
- SR based on LLMs.☆124Updated 3 years ago
- [NeurIPS 2023] This is the official code for the paper "TPSR: Transformer-based Planning for Symbolic Regression"☆79Updated last year
- Code for "Robust Multi-Objective Bayesian Optimization Under Input Noise"☆57Updated 3 years ago
- A paper describing the implementation of PySR and SymbolicRegression.jl☆65Updated last year
- Official PyTorch implementation of PSE/PSRN: Fast and efficient symbolic expression discovery through parallelized symbolic enumeration. …☆91Updated 3 weeks ago
- ☆20Updated last year
- The code enables to perform Bayesian inference in an efficient manner through the use of Hamiltonian Neural Networks (HNNs), Deep Neural …☆16Updated 3 years ago
- A computational framework for finding symbolic expressions from physical datasets.☆61Updated 2 years ago
- Multi-Objective Bayesian Optimization over High-Dimensional Search Spaces☆67Updated 3 years ago
- ☆73Updated 5 years ago
- A living benchmark framework for symbolic regression☆292Updated 2 months ago
- [NeurIPS 2020] Diversity-Guided Efficient Multi-Objective Optimization With Batch Evaluations☆108Updated 2 years ago
- Code to accompany the paper "Discovery of Physics from Data: Universal Laws and Discrepancies"☆28Updated 5 years ago
- ☆23Updated 6 months ago
- A Multi-objective Multi-fidelity acquisition function for Bayesian optimization based on EHVI method.☆14Updated 3 years ago
- Python Library for Generalized Gaussian Process Modeling☆27Updated 9 months ago
- A python implementation of Physics-informed Spline Learning for nonlinear dynamics discovery.☆27Updated 4 years ago
- Interpretable machine learning (symbolic regression) using Genetic programming/Gene expression programming and Sparse regression used …☆35Updated 4 years ago
- Symbolic physics learner: Discovering governing equations via Monte Carlo tree search☆26Updated 2 years ago
- Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributio…☆60Updated 3 years ago
- [ICLR 2024] Scaling physics-informed hard constraints with mixture-of-experts.☆37Updated last year
- Deep identification of symbolic open-form PDEs via enhanced reinforcement-learning☆38Updated last year
- PDE-VAE: Variational Autoencoder for Extracting Interpretable Physical Parameters from Spatiotemporal Systems using Unsupervised Learning☆36Updated 4 years ago
- Solving High Dimensional Partial Differential Equations with Deep Neural Networks☆34Updated 4 years ago