Official repository for the paper "Integration of Neural Network-Based Symbolic Regression in Deep Learning for Scientific Discovery"
☆78Mar 24, 2023Updated 3 years ago
Alternatives and similar repositories for DeepSymReg
Users that are interested in DeepSymReg are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- PyTorch implementation of the EQL network, a neural network for symbolic regression☆45Apr 14, 2021Updated 5 years ago
- A deep learning framework for symbolic optimization.☆736Jan 23, 2026Updated 6 months ago
- predicting equations from raw data with deep learning☆57Mar 24, 2026Updated 4 months ago
- Source code and Dataset creation for the paper "Neural Symbolic Regression That Scales"☆109Sep 2, 2025Updated 10 months ago
- ☆37Dec 12, 2022Updated 3 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Equation Learner, a neural network approach to symbolic regression☆90Sep 24, 2024Updated last year
- SR based on LLMs.☆133Nov 13, 2022Updated 3 years ago
- Tensorflow implementation of equation learner☆34Jan 10, 2021Updated 5 years ago
- [ICLR 2023] This repository contains the official Pytorch implementation for the paper "Transformer-based model for symbolic regression v…☆29Jul 2, 2025Updated last year
- Deep Generative Symbolic Regression Code☆31Oct 18, 2023Updated 2 years ago
- A living benchmark framework for symbolic regression☆315Jun 12, 2026Updated last month
- Symbolic physics learner: Discovering governing equations via Monte Carlo tree search☆31Jun 17, 2023Updated 3 years ago
- Code for "Discovering Symbolic Models from Deep Learning with Inductive Biases"☆782Nov 20, 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
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- Automated Discovery and Optimization of 3D Topological Photonic Crystals☆11Mar 16, 2023Updated 3 years ago
- [NeurIPS 2023] This is the official code for the paper "TPSR: Transformer-based Planning for Symbolic Regression"☆82Nov 4, 2024Updated last year
- Deep Bayesian Optimization for Problems with High-Dimensional Structure☆17Sep 26, 2022Updated 3 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
- The first Python library to bring SLIM-GSGP to life — faster, smarter genetic programming!☆11Jan 24, 2026Updated 6 months ago
- ☆20Apr 3, 2024Updated 2 years ago
- ☆10Mar 8, 2023Updated 3 years ago
- 🌌 Applications of Physics-Informed ML: A collection of notebooks from my Masters research, exploring how machine learning can solve scie…☆12Apr 29, 2026Updated 2 months ago
- Blazing fast symbolic regresison☆76Oct 10, 2019Updated 6 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Code for the paper "Rational neural networks", NeurIPS 2020☆30Feb 15, 2021Updated 5 years ago
- Performing Symbolic Regression via Monte Carlo Tree Search (MCTS)☆14Nov 2, 2018Updated 7 years ago
- Deep Learning for Symbolic Mathematics☆553Sep 1, 2021Updated 4 years ago
- Boosting the training of physics informed neural networks with transfer learning☆27Jun 5, 2021Updated 5 years ago
- Dynamic mode decomposition with dependent structure among observables (Graph DMD)☆13Dec 17, 2019Updated 6 years ago
- ☆13Oct 11, 2023Updated 2 years ago
- ☆13Mar 11, 2025Updated last year
- [ICML 2024] Official Pytorch implementation of the paper "A Neural-Guided Dynamic Symbolic Network for Exploring Mathematical Expressions…☆22Nov 15, 2025Updated 8 months ago
- This repository provides a PyTorch implementation of the physics informed neural networks by M.Raissi et al.☆11Aug 9, 2021Updated 4 years ago
- Simple, predictable pricing with DigitalOcean hosting • AdAlways know what you'll pay with monthly caps and flat pricing. Enterprise-grade infrastructure trusted by 600k+ customers.
- [NeurIPS 2022] Supervising the Multi-Fidelity Race of Hyperparameter Configurations☆14Apr 25, 2023Updated 3 years ago
- A 30-minute showcase on the how and the why of neural differential equations.☆14Apr 3, 2024Updated 2 years ago
- Physics-informed learning of governing equations from scarce data☆170Jul 19, 2023Updated 3 years ago
- [NeurIPS 2023] Multi-fidelity hyperparameter optimization with deep power laws that achieves state-of-the-art results across diverse benc…☆20Nov 12, 2023Updated 2 years ago
- a starter-kit for jaynes, the cloud-agnostic launch library☆17Apr 1, 2026Updated 3 months ago
- Discovering Conservation Laws using Optimal Transport and Manifold Learning☆22Sep 23, 2023Updated 2 years ago
- Convolution Neural Network based solution for 2D steady state Navier Stokes equation for submerged badies☆13May 3, 2021Updated 5 years ago