PyTorch implementation of the EQL network, a neural network for symbolic regression
☆42Apr 14, 2021Updated 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"☆76Mar 24, 2023Updated 2 years ago
- [ICLR 2023] This repository contains the official Pytorch implementation for the paper "Transformer-based model for symbolic regression v…☆27Jul 2, 2025Updated 8 months ago
- Symbolic regression is the task of identifying a mathematical expression that best fits a provided dataset of input and output values. In…☆57Nov 19, 2021Updated 4 years ago
- [ICML 2024] Official Pytorch implementation of the paper "A Neural-Guided Dynamic Symbolic Network for Exploring Mathematical Expressions…☆22Nov 15, 2025Updated 3 months ago
- A python implementation of Physics-informed Spline Learning for nonlinear dynamics discovery.☆27Sep 30, 2021Updated 4 years ago
- A deep learning framework for symbolic optimization.☆708Jan 23, 2026Updated last month
- ☆34Dec 12, 2022Updated 3 years ago
- ☆11Mar 31, 2021Updated 4 years ago
- ☆10Mar 8, 2023Updated 2 years ago
- Enhancing the convergence speed by 2x and improving the training success of Physics-Informed Neural Networks (PINNs).☆13Oct 14, 2024Updated last year
- Source code and Dataset creation for the paper "Neural Symbolic Regression That Scales"☆109Sep 2, 2025Updated 6 months ago
- Code to accompany the paper "Discovery of Physics from Data: Universal Laws and Discrepancies"☆28Jun 25, 2020Updated 5 years ago
- SR based on LLMs.☆129Nov 13, 2022Updated 3 years ago
- A living benchmark framework for symbolic regression☆294Oct 21, 2025Updated 4 months ago
- Code for "Machine-Learning Non-Conservative Dynamics for New-Physics Detection" (arXiv: 2106.00026)☆15Aug 1, 2021Updated 4 years ago
- Tensorflow implementation of equation learner☆33Jan 10, 2021Updated 5 years ago
- An open source python library for non-linear piecewise symbolic regression based on Genetic Programming☆37Jan 18, 2026Updated last month
- Code accompanying "Inverse-Dirichlet Weighting Enables Reliable Training of Physics Informed Neural Networks", Maddu et al., 2021☆14Nov 3, 2021Updated 4 years ago
- finite difference based eigensolving for Maxwell's equations and photonic structures☆14Oct 28, 2021Updated 4 years ago
- Code for "Discovering Symbolic Models from Deep Learning with Inductive Biases"☆777Nov 20, 2023Updated 2 years ago
- Official code for "DMIS: Dynamic Mesh-based Importance Sampling for Training Physics-Informed Neural Networks" (AAAI 2023)☆18Jan 17, 2024Updated 2 years ago
- Official Github Repository for paper "Mitigating Propagation Failures in Physics-informed Neural Networks using Retain-Resample-Release (…☆13Jun 10, 2023Updated 2 years ago
- RILS-ROLS: Robust Symbolic Regression via Iterated Local Search and Ordinary Least Squares☆17Jun 4, 2025Updated 8 months ago
- ☆12Aug 22, 2025Updated 6 months ago
- This repo contains the datasets used for the paper The Design Space of E(3)-Equivariant Atom-Centered Interatomic Potentials.☆20Aug 30, 2022Updated 3 years ago
- Solar System ephemeris Taylor integrator based on JPL DE430/431 dynamical model☆21Feb 20, 2026Updated last week
- ☆46Feb 13, 2026Updated 2 weeks ago
- An approach for embedding hierarhical structures into a continuous vector space using variational autoencoders.☆29Dec 6, 2025Updated 2 months ago
- predicting equations from raw data with deep learning☆57Nov 7, 2018Updated 7 years ago
- A functional and efficient python implementation of the 3D version of Maxwell's equations☆30Feb 3, 2022Updated 4 years ago
- [ICLR 2024 Spotlight] This is the official code for the paper "SNIP: Bridging Mathematical Symbolic and Numeric Realms with Unified Pre-t…☆58Oct 22, 2024Updated last year
- Symbolic physics learner: Discovering governing equations via Monte Carlo tree search☆27Jun 17, 2023Updated 2 years ago
- Sample codes of CNN-SINDy based reduced-order modeling for fluid flows by Fukami et al., JFM 2021.☆29Sep 6, 2021Updated 4 years ago
- Boosting the training of physics informed neural networks with transfer learning☆27Jun 5, 2021Updated 4 years ago
- ☆34Feb 16, 2026Updated 2 weeks ago
- Coupled-Automatic-Numerical differentiation scheme for physics-informed neural network (can-PINN)☆34Dec 4, 2023Updated 2 years ago
- ☆740Jul 9, 2024Updated last year
- Enhancing PINNs for Solving PDEs via Adaptive Collocation Point Movement and Adaptive Loss Weighting☆40Apr 14, 2023Updated 2 years ago
- Code for paper Sparse identification of nonlinear dynamics with Shallow Recurrent Decoder Networks.☆36Feb 14, 2026Updated 2 weeks ago