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Top 12 neural-ode open source projects

Implementation of (2018) Neural Ordinary Differential Equations on Keras

✭ 57

python deep-learning neural-network keras neural-ode

The SciML Scientific Machine Learning Software Organization Website

✭ 38

CSS julia HTML machine-learning ode dde differential-equations sde dae franklin neural-ode scientific-machine-learning sciml physics-informed-learning

DiffEqParamEstim.jl

Easy scientific machine learning (SciML) parameter estimation with pre-built loss functions

✭ 36

julia estimation ode dde differential-equations parameter-estimation ordinary-differential-equations differentialequations sde dae stochastic-differential-equations differential-algebraic-equations neural-ode scientific-ai scientfic-ml

SciMLBenchmarks.jl

Benchmarks for scientific machine learning (SciML) software and differential equation solvers

✭ 195

julia shell benchmark ode dde partial-differential-equations differential-equations differentialequations sde pde dae neural-ode scientific-machine-learning stiff-odes stiff-sdes nerual-differential-equations sciml

GPU-acceleration routines for DifferentialEquations.jl and the broader SciML scientific machine learning ecosystem

✭ 131

julia gpu ode dde differential-equations differentialequations sde dae neural-ode scientific-machine-learning neural-differential-equations gpu-parallelism sciml

LatentDiffEq.jl

Latent Differential Equations models in Julia.

✭ 34

julia flux machine-learning dynamical-systems differential-equations latent-variable-models neural-ode scientific-machine-learning latent-odes sciml sci-ml goku-nets diffeqflux

CVPR2021 paper "Learning Parallel Dense Correspondence from Spatio-Temporal Descriptorsfor Efficient and Robust 4D Reconstruction"

✭ 27

python C++c cython Mako shell 3d-reconstruction shape-generation neural-ode shape-correspondence cvpr2021 4d-reconstruction implicit-field 3d-from-sensors

DiffEqSensitivity.jl

A component of the DiffEq ecosystem for enabling sensitivity analysis for scientific machine learning (SciML). Optimize-then-discretize, discretize-then-optimize, and more for ODEs, SDEs, DDEs, DAEs, etc.

✭ 186

julia ode dde differentialequations sde dae sensitivity-analysis hacktoberfest adjoint backpropogation neural-ode scientific-machine-learning neural-sde sciml

Chemical Reaction Neural Network

✭ 43

julia python chemical-kinetics neural-ode sciml

BoundaryValueDiffEq.jl

Boundary value problem (BVP) solvers for scientific machine learning (SciML)

✭ 23

julia gpu differential-equations differentialequations bvp neural-ode scientific-machine-learning neural-differential-equations neural-bvp sciml

DiffEqCallbacks.jl

A library of useful callbacks for hybrid scientific machine learning (SciML) with augmented differential equation solvers

✭ 43

julia callback ode dde differential-equations sde dae neural-ode scientific-machine-learning sciml

MultiScaleArrays.jl

A framework for developing multi-scale arrays for use in scientific machine learning (SciML) simulations

✭ 63

julia models automatic-differentiation ode dde differential-equations differentialequations sde dae multiscale neural-ode scientific-machine-learning neural-differential-equations scientific-ml scientific-ai hybrid-differential-equations sciml

1-12 of 12 neural-ode projects