BetaRare
SciML/DiffEqFlux.jl
Pre-built implicit layer architectures with O(1) backprop, GPUs, and stiff+non-stiff DE solvers, demonstrating scientific machine learning (SciML) and physics-informed machine learning methods
- Owner
- SciML (organization)
- Stars
- Stars: 928
- Forks
- Forks: 162
- Language
- Julia
- License
- MIT
- Created
- 2018
- Topics
- neural-odeneural-sdeneural-pdeneural-ddeneural-differential-equationsstiff-odeordinary-differential-equationsstochastic-differential-equationsdelay-differential-equationspartial-differential-equations
- Tier
- Beta (700 to 1,999 ★) What this tier means
More repos by SciML
All 54 repos by SciML- SciML/DifferentialEquations.jlStars: 3,176JuliaRC
- SciML/SciMLBookStars: 2,050HTMLRC
- SciML/ModelingToolkit.jlStars: 1,698JuliaBeta
- SciML/NeuralPDE.jlStars: 1,237JuliaBeta
- SciML/Optimization.jlStars: 851JuliaBeta
- SciML/SciMLTutorials.jlStars: 742CSSBeta
Nearby in Julia
All Julia repos- JuliaDynamics/DynamicalSystems.jlStars: 955JuliaBeta
- FluxML/model-zooStars: 937JuliaBeta
- JuliaDynamics/DrWatson.jlStars: 937JuliaBeta
- JuliaDocs/Documenter.jlStars: 924JuliaBeta
- JuliaDynamics/Agents.jlStars: 924JuliaBeta
- joshday/OnlineStats.jlStars: 899JuliaBeta