Symbolic physics learner: Discovering governing equations via Monte Carlo tree search
☆32Jun 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:
- Deep Generative Symbolic Regression Code☆31Oct 18, 2023Updated 2 years ago
- ☆22Apr 3, 2024Updated 2 years ago
- code of ICLR 2024 paper Reinforcement Symbolic Regression Machine☆15Feb 19, 2024Updated 2 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.☆17Nov 10, 2022Updated 3 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- A python implementation of Physics-informed Spline Learning for nonlinear dynamics discovery.☆28Sep 30, 2021Updated 4 years ago
- A deep learning framework for symbolic optimization.☆739Jan 23, 2026Updated 7 months ago
- [ICML 2024] Official Pytorch implementation of the paper "A Neural-Guided Dynamic Symbolic Network for Exploring Mathematical Expressions…☆22Nov 15, 2025Updated 9 months ago
- 🌌 Applications of Physics-Informed ML: A collection of notebooks from my Masters research, exploring how machine learning can solve scie…☆12Apr 29, 2026Updated 4 months ago
- An effective algorithm for training a quadratic network☆13Jun 3, 2022Updated 4 years ago
- Code to accompany the paper "Discovery of Physics from Data: Universal Laws and Discrepancies"☆27Jun 25, 2020Updated 6 years ago
- PyTorch implemention of the Position-induced Transformer for operator learning in partial differential equations☆26Jun 3, 2025Updated last year
- Official repository for the paper "Integration of Neural Network-Based Symbolic Regression in Deep Learning for Scientific Discovery"☆78Mar 24, 2023Updated 3 years 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
- 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.
- ☆38Dec 12, 2022Updated 3 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
- Use SINDY algorithm to discover a dynamical system from coronavirus data☆12Apr 9, 2024Updated 2 years ago
- SR based on LLMs.☆133Nov 13, 2022Updated 3 years ago
- ☆13Apr 15, 2024Updated 2 years ago
- Sparse Identification of Nonlinear Dynamics for Boundary Value Problems☆14Apr 10, 2021Updated 5 years ago
- ☆49Dec 7, 2022Updated 3 years ago
- An unsupervised latent/output physics-informed convolutional-LSTM network for solving partial differential equations using peridynamic di…☆33Oct 25, 2022Updated 3 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Prediction of Fluid Flow in Porous Media by Sparse Observations and Physics-Informed PointNet☆16Aug 24, 2024Updated 2 years ago
- ☆21Feb 16, 2026Updated 6 months ago
- ☆14Jan 22, 2022Updated 4 years ago
- Official implementation for our paper "Unsupervised Learning of Lagrangian Dynamics from Images for Prediction and Control"☆20Sep 2, 2022Updated 4 years ago
- A data processing module implemented with numpy☆10Aug 16, 2022Updated 4 years ago
- ☆15Apr 5, 2024Updated 2 years ago
- Staggered HARd-constrained Physics-Informed Neural Networks for Phase-field modelling of corrosion☆18Feb 19, 2025Updated last year
- Large language models, physics-based modeling, experimental measurements: the trinity of data-scarce learning of polymer properties☆14Sep 4, 2025Updated last year
- Twin-deep neural network for semi-supervised learning of materials properties☆12Feb 1, 2023Updated 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.
- Towards Physics-informed Deep Learning for Turbulent Flow Prediction☆28Oct 18, 2021Updated 4 years ago
- Decoding Echo Chambers: LLM-Powered Simulations Revealing Polarization in Social Networks☆24Dec 11, 2024Updated last year
- Combining Evolutionary Algorithms and deep Reinforcement Learning☆19Jul 17, 2018Updated 8 years ago
- Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributio…☆58May 20, 2022Updated 4 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
- An algorithm for computing the Fourier shell correlation from a single measurement☆15Nov 11, 2023Updated 2 years ago
- Code for AAAI Workshop WMAC "Paper Simulating Rumor Spreading in Social Networks using LLM agents"☆13Feb 20, 2025Updated last year