SciML/OrdinaryDiffEq.jl
High performance ordinary differential equation (ODE) and differential-algebraic equation (DAE) solvers, including neural ordinary differential equations (neural ODEs) and scientific machine learning (SciML)
JuliaNOASSERTION
Stargazers
- abduld
- amitjamadagniIndia
- AshtonSBradleyUniversity of Otago
- blegatSTADIUS, ESAT, KU Leuven
- brandonkrull@amp-community
- captainobvious62
- ChrisRackauckasMassachusetts Institute of Technology
- crbinz
- david-pl@qojulia
- dkarraschTechnische Universität München
- dpsandersUniversidad Nacional Autónoma de México (UNAM)
- iblislinChina Medical University Hospital
- ithilelda
- JackneillEvotrex
- jtravs
- korsbo@PumasAI
- leenegnojw
- markemer@ionic-team at @OutSystems
- mauro3WSL & ETH Zurich
- miguelrazUNAM
- modenaxeUniversity of New South Wales
- MSeeker1340New York, New York
- musmUniversity of Calgary
- QuebecisniceMountain View, CA
- ranochaJohannes Gutenberg University Mainz
- rreusser@mapbox
- rtqichenFAIR Labs, Meta AI
- rudrasohanTU Darmstadt
- rvlobatoTexas A&M University-Commerce
- ScottPJonesGandalf Software, Inc.
- SebastianM-C@JuliaComputing
- shivin9National University of Singapore
- TejasAvinashShettyMumbai, India
- ViralBShahJuliaHub
- xiaoguozhiUniversity of Kent
- YingboMa@JuliaComputing