Symbolic physics learner: Discovering governing equations via Monte Carlo tree search
☆31Jun 17, 2023Updated 3 years ago
Alternatives and similar repositories for SymbolicPhysicsLearner
Users that are interested in SymbolicPhysicsLearner are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- code of ICLR 2024 paper Reinforcement Symbolic Regression Machine☆16Feb 19, 2024Updated 2 years ago
- ☆20Apr 3, 2024Updated 2 years ago
- Pytorch implementation of Deep Symbolic Regression☆14Dec 14, 2021Updated 4 years ago
- Performing Symbolic Regression via Monte Carlo Tree Search (MCTS)☆14Nov 2, 2018Updated 7 years ago
- Active learning of extreme events using deep neural operators.☆16Nov 10, 2022Updated 3 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- Code to accompany the paper "Discovery of Physics from Data: Universal Laws and Discrepancies"☆27Jun 25, 2020Updated 6 years ago
- A deep learning framework for symbolic optimization.☆734Jan 23, 2026Updated 5 months ago
- An effective algorithm for training a quadratic network☆13Jun 3, 2022Updated 4 years ago
- [ICML 2024] Official Pytorch implementation of the paper "A Neural-Guided Dynamic Symbolic Network for Exploring Mathematical Expressions…☆22Nov 15, 2025Updated 7 months ago
- Public Datasets and Codes for Data-driven discovery of soil moisture flow governing equation: A sparse regression framework. Water Resour…☆11Feb 24, 2025Updated last year
- 🌌 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
- 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
- ☆10Mar 31, 2021Updated 5 years ago
- The repository contains implementations of examples provided in the literature on energy minimization based approach to Physics Informed …☆11Apr 8, 2020Updated 6 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Use SINDY algorithm to discover a dynamical system from coronavirus data☆12Apr 9, 2024Updated 2 years ago
- Sparse Identification of Nonlinear Dynamics for Boundary Value Problems☆13Apr 10, 2021Updated 5 years ago
- Prediction of Fluid Flow in Porous Media by Sparse Observations and Physics-Informed PointNet☆16Aug 24, 2024Updated last year
- An unsupervised latent/output physics-informed convolutional-LSTM network for solving partial differential equations using peridynamic di…☆33Oct 25, 2022Updated 3 years ago
- SR based on LLMs.☆133Nov 13, 2022Updated 3 years ago
- ☆13Apr 15, 2024Updated 2 years ago
- Symbolic genetic algorithm for discovering open-form partial differential equations☆47Jun 21, 2022Updated 4 years ago
- A deep learning based crop growth model☆27Jun 24, 2026Updated 2 weeks ago
- ☆15Apr 5, 2024Updated 2 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.
- A living benchmark framework for symbolic regression☆315Jun 12, 2026Updated 3 weeks ago
- Official implementation for our paper "Unsupervised Learning of Lagrangian Dynamics from Images for Prediction and Control"☆20Sep 2, 2022Updated 3 years ago
- TensorFlow 2.0 implementation of Yibo Yang, Paris Perdikaris’s adversarial Uncertainty Quantification in Physics Informed Neural Networks…☆22Mar 25, 2023Updated 3 years ago
- Physics-informed neural networks☆16Nov 26, 2020Updated 5 years ago
- ☆18Nov 26, 2024Updated last year
- Tracing the most recent advances in Physics Informedd LLMs.☆43Sep 8, 2024Updated last year
- [ICLR 2024] MARCEL: Machine Learning over Molecular Conformer Ensembles☆46Jun 14, 2023Updated 3 years ago
- ☆27Dec 21, 2023Updated 2 years ago
- Large language models, physics-based modeling, experimental measurements: the trinity of data-scarce learning of polymer properties☆14Sep 4, 2025Updated 10 months ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Physics-informed learning of governing equations from scarce data☆170Jul 19, 2023Updated 2 years ago
- Code for AAAI Workshop WMAC "Paper Simulating Rumor Spreading in Social Networks using LLM agents"☆13Feb 20, 2025Updated last year
- [ICLR 2023] This repository contains the official Pytorch implementation for the paper "Transformer-based model for symbolic regression v…☆29Jul 2, 2025Updated last year
- Multi-objective reinforcement learning for covid-19 control☆12Aug 12, 2021Updated 4 years ago
- Software for postprocessing the SMAP-HydroBlocks dataset from the Hydrological Response Unit (HRU) space into the geographically gridded …☆32Apr 12, 2025Updated last year
- [NeurIPS 2023] This is the official code for the paper "TPSR: Transformer-based Planning for Symbolic Regression"☆82Nov 4, 2024Updated last year
- 📜 [NeurIPS 2022] "Symbolic Distillation for Learned TCP Congestion Control", S P Sharan, Wenqing Zheng, Kuo-Feng Hsu, Jiarong Xing, Ang …☆16Oct 13, 2022Updated 3 years ago