Official repository for the paper "Integration of Neural Network-Based Symbolic Regression in Deep Learning for Scientific Discovery"
☆76Mar 24, 2023Updated 2 years ago
Alternatives and similar repositories for DeepSymReg
Users that are interested in DeepSymReg are comparing it to the libraries listed below
Sorting:
- PyTorch implementation of the EQL network, a neural network for symbolic regression☆42Apr 14, 2021Updated 4 years ago
- A deep learning framework for symbolic optimization.☆708Jan 23, 2026Updated last month
- Source code and Dataset creation for the paper "Neural Symbolic Regression That Scales"☆109Sep 2, 2025Updated 6 months ago
- ☆34Dec 12, 2022Updated 3 years ago
- Equation Learner, a neural network approach to symbolic regression☆85Sep 24, 2024Updated last year
- predicting equations from raw data with deep learning☆57Nov 7, 2018Updated 7 years ago
- Tensorflow implementation of equation learner☆33Jan 10, 2021Updated 5 years ago
- SR based on LLMs.☆129Nov 13, 2022Updated 3 years ago
- Symbolic physics learner: Discovering governing equations via Monte Carlo tree search☆27Jun 17, 2023Updated 2 years ago
- symbolic regression☆40Jul 20, 2022Updated 3 years ago
- A living benchmark framework for symbolic regression☆294Oct 21, 2025Updated 4 months ago
- Code for "Discovering Symbolic Models from Deep Learning with Inductive Biases"☆777Nov 20, 2023Updated 2 years ago
- Deep Generative Symbolic Regression Code☆28Oct 18, 2023Updated 2 years ago
- ☆740Jul 9, 2024Updated last year
- [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
- ☆11Mar 31, 2021Updated 4 years ago
- Enhancing the convergence speed by 2x and improving the training success of Physics-Informed Neural Networks (PINNs).☆13Oct 14, 2024Updated last year
- Automated Discovery and Optimization of 3D Topological Photonic Crystals☆11Mar 16, 2023Updated 2 years ago
- [NeurIPS 2022] Supervising the Multi-Fidelity Race of Hyperparameter Configurations☆13Apr 25, 2023Updated 2 years ago
- A library to generate concept map from a research paper. Powered by LLM.☆15Apr 23, 2023Updated 2 years ago
- Code for the paper "Rational neural networks", NeurIPS 2020☆29Feb 15, 2021Updated 5 years ago
- Boosting the training of physics informed neural networks with transfer learning☆27Jun 5, 2021Updated 4 years 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
- 🌌 Applications of Physics-Informed ML: A collection of notebooks from my Masters research, exploring how machine learning can solve scie…☆11Nov 9, 2024Updated last year
- Dynamic mode decomposition with dependent structure among observables (Graph DMD)☆14Dec 17, 2019Updated 6 years ago
- ☆13Mar 11, 2025Updated 11 months ago
- Scripts for our paper ``Factor Augmented Sparse Throughput Deep Neural Networks for High Dimensional Regression''☆13Mar 18, 2025Updated 11 months ago
- Performing Symbolic Regression via Monte Carlo Tree Search (MCTS)☆14Nov 2, 2018Updated 7 years ago
- Pytorch implementation of Deep Symbolic Regression☆14Dec 14, 2021Updated 4 years ago
- [NeurIPS 2023] Multi-fidelity hyperparameter optimization with deep power laws that achieves state-of-the-art results across diverse benc…☆16Nov 12, 2023Updated 2 years ago
- Code for "Machine-Learning Non-Conservative Dynamics for New-Physics Detection" (arXiv: 2106.00026)☆15Aug 1, 2021Updated 4 years ago
- [NeurIPS 2023 AI4Science] "A Transformer Model for Symbolic Regression towards Scientific Discovery"☆18Dec 16, 2023Updated 2 years ago
- 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
- This repository provides a PyTorch implementation of the physics informed neural networks by M.Raissi et al.☆11Aug 9, 2021Updated 4 years ago
- Code and data for paper: Learning interpretable dynamics of stochastic complex systems from experimental data☆22Oct 22, 2025Updated 4 months 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
- Simplified implementation of locally adaptive activation functions (LAAF) with slope recovery for deep and physics-informed neural networ…☆31Mar 8, 2021Updated 4 years ago
- High-Performance Symbolic Regression in Python and Julia☆3,378Feb 23, 2026Updated last week