Official repository for the paper "Integration of Neural Network-Based Symbolic Regression in Deep Learning for Scientific Discovery"
☆77Mar 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:
- A deep learning framework for symbolic optimization.☆723Jan 23, 2026Updated 3 months ago
- Source code and Dataset creation for the paper "Neural Symbolic Regression That Scales"☆108Sep 2, 2025Updated 8 months ago
- ☆34Dec 12, 2022Updated 3 years ago
- Equation Learner, a neural network approach to symbolic regression☆88Sep 24, 2024Updated last year
- SR based on LLMs.☆130Nov 13, 2022Updated 3 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Tensorflow implementation of equation learner☆33Jan 10, 2021Updated 5 years ago
- Deep Generative Symbolic Regression Code☆30Oct 18, 2023Updated 2 years ago
- A living benchmark framework for symbolic regression☆306Oct 21, 2025Updated 6 months ago
- A python implementation of Physics-informed Spline Learning for nonlinear dynamics discovery.☆27Sep 30, 2021Updated 4 years ago
- Symbolic physics learner: Discovering governing equations via Monte Carlo tree search☆28Jun 17, 2023Updated 2 years ago
- Code for "Discovering Symbolic Models from Deep Learning with Inductive Biases"☆778Nov 20, 2023Updated 2 years ago
- [ICLR 2023] This repository contains the official Pytorch implementation for the paper "Transformer-based model for symbolic regression v…☆28Jul 2, 2025Updated 10 months ago
- symbolic regression☆40Jul 20, 2022Updated 3 years ago
- ☆754Jul 9, 2024Updated last year
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- Automated Discovery and Optimization of 3D Topological Photonic Crystals☆11Mar 16, 2023Updated 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
- Deep Bayesian Optimization for Problems with High-Dimensional Structure☆17Sep 26, 2022Updated 3 years ago
- Pytorch implementation of Deep Symbolic Regression☆14Dec 14, 2021Updated 4 years ago
- ☆21Apr 3, 2024Updated 2 years ago
- [NeurIPS 2023 AI4Science] "A Transformer Model for Symbolic Regression towards Scientific Discovery"☆17Dec 16, 2023Updated 2 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
- Blazing fast symbolic regresison☆76Oct 10, 2019Updated 6 years ago
- Code for the paper "Rational neural networks", NeurIPS 2020☆29Feb 15, 2021Updated 5 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Deep Learning for Symbolic Mathematics☆556Sep 1, 2021Updated 4 years ago
- Performing Symbolic Regression via Monte Carlo Tree Search (MCTS)☆14Nov 2, 2018Updated 7 years ago
- 🌌 Applications of Physics-Informed ML: A collection of notebooks from my Masters research, exploring how machine learning can solve scie…☆11Updated this week
- An interactive data exploration tool for json structured ionic liquid data from ILThermo (NIST)☆11Mar 1, 2024Updated 2 years ago
- Boosting the training of physics informed neural networks with transfer learning☆27Jun 5, 2021Updated 4 years ago
- ☆20Jun 22, 2022Updated 3 years ago
- Dynamic mode decomposition with dependent structure among observables (Graph DMD)☆13Dec 17, 2019Updated 6 years ago
- A library to generate concept map from a research paper. Powered by LLM.☆17Apr 23, 2023Updated 3 years ago
- [ICML 2024] Official Pytorch implementation of the paper "A Neural-Guided Dynamic Symbolic Network for Exploring Mathematical Expressions…☆22Nov 15, 2025Updated 5 months 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.
- Simplified implementation of locally adaptive activation functions (LAAF) with slope recovery for deep and physics-informed neural networ…☆31Mar 8, 2021Updated 5 years ago
- ☆13Mar 11, 2025Updated last year
- This repository provides a PyTorch implementation of the physics informed neural networks by M.Raissi et al.☆11Aug 9, 2021Updated 4 years ago
- A 30-minute showcase on the how and the why of neural differential equations.☆13Apr 3, 2024Updated 2 years ago
- [NeurIPS 2022] Supervising the Multi-Fidelity Race of Hyperparameter Configurations☆13Apr 25, 2023Updated 3 years ago
- Code for "Machine-Learning Non-Conservative Dynamics for New-Physics Detection" (arXiv: 2106.00026)☆15Aug 1, 2021Updated 4 years ago
- A framework for gene expression programming (an evolutionary algorithm) in Python☆223Mar 11, 2025Updated last year