Interpretable machine learning (symbolic regression) using Genetic programming/Gene expression programming and Sparse regression used to identify physical process, numerical schemes, and LES subgrid scale (eddy viscosity) turbulence models.
☆36Feb 10, 2021Updated 5 years ago
Alternatives and similar repositories for Data_Driven_Symbolic_Regression
Users that are interested in Data_Driven_Symbolic_Regression are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- python multi-objective gene expression programming☆11Dec 26, 2013Updated 12 years ago
- Multi Expression Programming - basic source code☆19Nov 29, 2025Updated 11 months ago
- A framework for gene expression programming (an evolutionary algorithm) in Python☆222Mar 11, 2025Updated last year
- ☆16Dec 18, 2023Updated 2 years ago
- ☆21Sep 28, 2020Updated 6 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Black-box spike and slab variational inference, example with linear models☆11Jun 7, 2019Updated 7 years ago
- Pytorch implementation of the DeepMoD algorithm: [arXiv:1904.09406]☆35Oct 30, 2023Updated 3 years ago
- ☆19Feb 3, 2022Updated 4 years ago
- combination of sparse identification of nonlinear dynamics with Akaike information criteria☆17Aug 19, 2017Updated 9 years ago
- predicting equations from raw data with deep learning☆57Mar 24, 2026Updated 7 months ago
- The realisations and examples of algorithms from FEDOT framework☆12May 27, 2021Updated 5 years ago
- Quantification of Uncertainties in Neural Networks☆11Aug 29, 2026Updated 2 months ago
- [CEC 2019] Genetic Programming with Rademacher Complexity. Paper Link: https://ieeexplore.ieee.org/document/8790341☆19Jul 25, 2023Updated 3 years ago
- Data-driven Reynolds stress modeling with physics-informed machine learning☆100Mar 21, 2019Updated 7 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.
- Multi Expression Programming - evolutionary library for data analysis (symbolic regression, classification and time series)☆22Feb 2, 2026Updated 9 months ago
- ☆11Nov 11, 2024Updated last year
- Deep Learning of Turbulent Scalar Mixing☆19Oct 6, 2019Updated 7 years ago
- Code repository for the paper "Learning partial differential equations for biological transport models from noisy spatiotemporal data"☆11Jul 3, 2019Updated 7 years ago
- Python package for analyzing and representing droplets and emulsions☆13Updated this week
- ☆11Mar 31, 2021Updated 5 years ago
- Benchmark for learning stiff problems using physics-informed machine learning☆13Dec 15, 2021Updated 4 years ago
- Equation Learner, a neural network approach to symbolic regression☆90Sep 24, 2024Updated 2 years ago
- A package for the sparse identification of nonlinear dynamical systems from data☆11Mar 3, 2020Updated 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.
- Blazing fast symbolic regresison☆76Oct 10, 2019Updated 7 years ago
- Repository outlining functions and tests for automatic regression of governing equations (ARGOS)☆19Jan 11, 2024Updated 2 years ago
- Nonlinear proper orthogonal decomposition for convection-dominated flows☆15Nov 8, 2021Updated 4 years ago
- Dimensionless learning☆51Apr 10, 2026Updated 6 months ago
- Pseudospectral Kolmogorov Flow Solver☆43Oct 24, 2023Updated 3 years ago
- Data-driven Identification of 2D Partial Differential Equations using Extracted Physical Features☆12Apr 23, 2021Updated 5 years ago
- Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributio…☆58May 20, 2022Updated 4 years ago
- ☆14Mar 8, 2022Updated 4 years ago
- A collection of tools based on Computational Singular Perturbation for the analysis of chemically reacting systems☆31Oct 1, 2026Updated last month
- 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.
- 🌌 Applications of Physics-Informed ML: A collection of notebooks from my Masters research, exploring how machine learning can solve scie…☆12Apr 29, 2026Updated 6 months ago
- This repository explores a variety of data visualization techniques, with a particular focus on applications in the hospitality domain. I…☆41Oct 16, 2025Updated last year
- Tensor Basis Random Forest for RANS turbulence modelling☆10Dec 5, 2018Updated 7 years ago
- Code for Mesh Transformer describes in the EAGLE dataset☆43Feb 21, 2025Updated last year
- Symbolic XAI explainable machine learning & non-linear regression platform for MATLAB☆17Aug 15, 2022Updated 4 years ago
- Exploring Machine Learning methods and workflows in a simplified weather model☆19Jun 6, 2024Updated 2 years ago
- Additional turbulence models for OpenFOAM☆50Aug 13, 2026Updated 2 months ago