☆35Jan 5, 2024Updated 2 years ago
Alternatives and similar repositories for AI-Lorenz
Users that are interested in AI-Lorenz are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆16Apr 2, 2026Updated last month
- ☆11Mar 18, 2023Updated 3 years ago
- Empowering extended Kalman filter (EKF) with Sparse Identification of Nonlinear Dynamics (SINDy)☆69Apr 25, 2025Updated last year
- Use SINDY algorithm to discover a dynamical system from coronavirus data☆12Apr 9, 2024Updated 2 years ago
- Official Implementation of "AIVT: Inference of turbulent thermal convection from measured 3D velocity data by physics-informed Kolmogorov…☆16Oct 10, 2025Updated 7 months 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.
- ☆10Mar 8, 2023Updated 3 years ago
- PharML is a framework for predicting compound affinity for protein structures. It utilizes a novel Molecular-Highway Graph Neural Network…☆13May 8, 2020Updated 6 years ago
- ☆16Nov 10, 2021Updated 4 years ago
- Repository for xL-SINDy, a robust algorithm to extract Lagrangian of nonlinear dynamical systems from noisy measurement data.☆12Aug 8, 2022Updated 3 years ago
- Repository for sharing code and data assocaited with En-DeepONet architecture☆36Jan 15, 2024Updated 2 years ago
- Fast Kolmogorov-Arnold Network in JAX, initial experiments☆15May 20, 2024Updated last year
- combination of sparse identification of nonlinear dynamics with Akaike information criteria☆17Aug 19, 2017Updated 8 years ago
- ☆73Aug 15, 2024Updated last year
- This repository contains code, which was used to generate large-scale results in the HINTS paper.☆38Oct 17, 2024Updated last year
- 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.
- Official repo for separable operator networks -- extreme-scale operator learning for parametric PDEs.☆39Nov 2, 2024Updated last year
- ☆12Jan 29, 2025Updated last year
- Code to accompany the paper "Discovery of Physics from Data: Universal Laws and Discrepancies"☆27Jun 25, 2020Updated 5 years ago
- This project contains a collection of deep learning models developed by the AI4Sim team with various partners. This is structured on the …☆16Apr 22, 2026Updated 2 weeks ago
- General toolbox for 4D Particle Tracking Velocimetry. Allows you to track in space and time hundreds or a few thousand of lagrangian trac…☆12Apr 29, 2025Updated last year
- Code for paper "Beyond Closure Models: Learning Chaotic Systems via Physics-Informed Neural Operators".☆16Dec 24, 2025Updated 4 months ago
- ☆20Sep 18, 2025Updated 7 months ago
- ☆26Jul 7, 2022Updated 3 years ago
- Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."☆79Apr 24, 2025Updated last year
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- ☆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
- [ICLR24] Better Neural PDE Solvers Through Data-Free Mesh Movers☆17Mar 20, 2024Updated 2 years ago
- ☆13Dec 5, 2022Updated 3 years ago
- ☆27Jan 12, 2022Updated 4 years ago
- Sparse Identification of Nonlinear Dynamics for Hybrid Systems☆28Aug 8, 2018Updated 7 years ago
- Weight Initialization Schemes for Deep Learning Frameworks☆10Nov 4, 2024Updated last year
- Five pillars of computational reproducibility☆11Feb 6, 2024Updated 2 years ago
- Original implementation of fast PINN optimization with RBA weights☆73Sep 11, 2025Updated 7 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.
- Generative Learning for Forecasting the Dynamics of High Dimensional Complex Systems☆42Mar 10, 2025Updated last year
- Practicum on Supervised Learning in Function Spaces☆35Feb 17, 2022Updated 4 years ago
- Simple demo on implementing data driven and physics informed Deep O Nets in pytorch☆21Jun 20, 2024Updated last year
- Neural Laplace Control for Continuous-time Delayed Systems - an offline RL method combining Neural Laplace dynamics model and MPC planner…☆16Apr 26, 2023Updated 3 years ago
- a collection of modern sparse (regularized) linear regression algorithms.☆65May 10, 2020Updated 6 years ago
- Resources for UPT tutorials☆16Apr 7, 2025Updated last year
- SK-PINN: Accelerated physics-informed deep learning by smoothing kernel gradients☆24Apr 7, 2025Updated last year