#Scientific-machine-learning
Showing 15 of 15 repositories tagged #scientific-machine-learning, ranked by stars
A library for scientific machine learning and physics-informed learning
Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equations (SDEs), delay differential equations (DDEs), differential-algebraic equations (DAEs), and more in Julia.
Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation
Tutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.
Elegant and Performant Deep Learning
Arrays with arbitrarily nested named components.
A library for Koopman Neural Operator with Pytorch.
Reservoir computing utilities for scientific machine learning (SciML)
[ICLR26 Oral] RealPDEBench: A Benchmark for Complex Physical Systems with Paired Real-World and Simulated Data
A Julia package for Deep Backwards Stochastic Differential Equation (Deep BSDE) and Feynman-Kac methods to solve high-dimensional PDEs without the curse of dimensionality
Benchmarking, testing, and development tools for differential equations and scientific machine learning (SciML)
Public repository for the proposal “Physics-Informed Machine Learning Simulator for Wildfire Propagation” - MLJC University of Turin - ProjectX2020 Competition (UofT AI)
FastVPINNs - A tensor-driven acceleration of VPINNs for complex geometries
Awesome-spatial-temporal-data-mining-packages. Julia and Python resources on spatial and temporal data mining. Mathematical epidemiology as an application. Most about package information. Data Sources Links and Epidemic Repos are also included. Keep updating.