neural-ode

There are 11 repositories under neural-ode topic.

SciML / SciMLBook
Parallel Computing and Scientific Machine Learning (SciML): Methods and Applications (MIT 18.337J/6.338J)
differential-equations scientific-machine-learning neural-networks numerical-methods gpu-computing stiff-equations lecture-notes performance-engineering parallelism scientific-simulators neural-ode neural-sde sciml
Language:HTML 1947
DiffEqML / torchdyn
A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods
deep-learning neural-network neural-differential-equations pytorch dynamical-systems deep-equilibrium-models implicit-models control-theory neural-ode numerical-methods
Language:Jupyter Notebook 1536
raminmh / CfC
Closed-form Continuous-time Neural Networks
deep-learning neural-ode pytorch recurrent-neural-networks sequence-models tensorflow
Language:Python 982
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
neural-ode neural-sde neural-pde neural-dde neural-differential-equations stiff-ode ordinary-differential-equations stochastic-differential-equations delay-differential-equations partial-differential-equations neural-networks differentialequations differential-equations scientific-ml scientific-ai neural-jump-diffusions neural-sdes scientific-machine-learning pinn physics-informed-learning
Language:Julia 901
msurtsukov / neural-ode
Jupyter notebook with Pytorch implementation of Neural Ordinary Differential Equations
jupyter-notebook neural-ode pytorch vae
Language:Jupyter Notebook 783
SciML / SciMLTutorials.jl
Tutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.
differentialequations differential-equations ode sde dae dde ordinary-differential-equations neural-differential-equations neural-ode pde partial-differential-equations stochastic-differential-equations julia scientific-machine-learning sciml python r hacktoberfest
Language:CSS 736
SciML / SciMLSensitivity.jl
A component of the DiffEq ecosystem for enabling sensitivity analysis for scientific machine learning (SciML). Optimize-then-discretize, discretize-then-optimize, adjoint methods, and more for ODEs, SDEs, DDEs, DAEs, etc.
differentialequations sensitivity-analysis neural-ode adjoint backpropogation neural-sde ode sde dae dde sciml scientific-machine-learning hacktoberfest differential-equations
Language:Julia 369
SciML / DiffEqBase.jl
The lightweight Base library for shared types and functionality for defining differential equation and scientific machine learning (SciML) problems
differentialequations differential-equations ode sde dae dde ordinary-differential-equations neural-differential-equations neural-ode stochastic-differential-equations delay-differential-equations differential-algebraic-equations pde partial-differential-equations sciml scientific-machine-learning hacktoberfest
Language:Julia 347
ComponentArrays.jl
SciML / ComponentArrays.jl
Arrays with arbitrarily nested named components.
differential-equations differentialequations control-systems controls-and-dynamics controls scientific-machine-learning modeling simulation simulation-modeling dynamical-systems array named-tuples arrays machine-learning julia neural-ode neural-networks optimization modeling-language
Language:Julia 337
SciML / SciMLBenchmarks.jl
Scientific machine learning (SciML) benchmarks, AI for science, and (differential) equation solvers. Covers Julia, Python (PyTorch, Jax), MATLAB, R
differential-equations differentialequations ode sde dae neural-ode nerual-differential-equations benchmark pde partial-differential-equations sciml scientific-machine-learning ai julia ai-for-science jax matlab python pytorch
Language:MATLAB 334
SciML / DiffEqDocs.jl
Documentation for the DiffEq differential equations and scientific machine learning (SciML) ecosystem
differential-equations sciml scientific-machine-learning physics-informed-learning ode sde dae dde neural-ode hacktoberfest
Language:Julia 317
mitmath / 18S096SciML
18.S096 - Applications of Scientific Machine Learning
scientific-machine-learning differential-equations neural-networks neural-ode partial-differential-equations sciml lecture-notes
Language:HTML 311
SciML / DiffEqGPU.jl
GPU-acceleration routines for DifferentialEquations.jl and the broader SciML scientific machine learning ecosystem
gpu gpu-parallelism differentialequations differential-equations ode sde dae dde neural-ode neural-differential-equations sciml scientific-machine-learning
Language:Julia 310
easy-neural-ode
jacobjinkelly / easy-neural-ode
Code for the paper "Learning Differential Equations that are Easy to Solve"
neural-ode differential-equations machine-learning jax deep-learning deep-neural-networks dynamical-systems neural-differential-equations numerical-integration ode ode-solver
Language:Python 284
SciML / DiffEqOperators.jl
Linear operators for discretizations of differential equations and scientific machine learning (SciML)
differential-equations differentialequations partial-differential-equations pde sde stochastic-differential-equations finite-difference-method fdm matrix-free julia neural-differential-equations neural-ode sciml scientific-machine-learning
Language:Julia 283
martenlienen / torchode
A parallel ODE solver for PyTorch
deep-learning neural-ode pytorch
Language:Python 270
ChrisRackauckas / universal_differential_equations
Repository for the Universal Differential Equations for Scientific Machine Learning paper, describing a computational basis for high performance SciML
universal-differential-equations neural-ode sciml scientific-machine-learning
Language:Julia 233
titu1994 / tfdiffeq
Tensorflow implementation of Ordinary Differential Equation Solvers with full GPU support
tensorflow neural-ode eager-execution ordinary-differential-equations
Language:Python 223
Zymrael / gde
Neural Graph Differential Equations (Neural GDEs)
graph-neural-networks neural-ode dynamical-systems
Language:Jupyter Notebook 207
xwinxu / bayeSDE
Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"
sde-solvers stochastic-differential-equations pytorch bayesian-layers jax neural-sde neural-ode bayesian-neural-networks deep-learning deep-neural-networks
Language:Python 170
SciML / JumpProcesses.jl
Build and simulate jump equations like Gillespie simulations and jump diffusions with constant and state-dependent rates and mix with differential equations and scientific machine learning (SciML)
gillespie ssa jump-diffusion stochastic differential-equations hybrid-differential-equation ode sde stochastic-jump-equations neural-ode neural-differential-equations scientific-ml scientific-ai sciml scientific-machine-learning
Language:Julia 146
SciML / DiffEqBayes.jl
Extension functionality which uses Stan.jl, DynamicHMC.jl, and Turing.jl to estimate the parameters to differential equations and perform Bayesian probabilistic scientific machine learning
differential-equations stan julia ode sde dae dde ordinary-differential-equations stochastic-differential-equations neural-ode neural-differential-equations scientific-ml scientific-ai probabilistic-programming sciml scientific-machine-learning bayesian-inference
Language:Julia 125
SciML / ODE.jl
Assorted basic Ordinary Differential Equation solvers for scientific machine learning (SciML). Deprecated: Use DifferentialEquations.jl instead.
differential-equations ode neural-ode sciml scientific-machine-learning
Language:Julia 103
SciML / DiffEqCallbacks.jl
A library of useful callbacks for hybrid scientific machine learning (SciML) with augmented differential equation solvers
callback differential-equations sciml scientific-machine-learning ode neural-ode dae sde dde julia
Language:Julia 100
DENG-MIT / CRNN
Chemical Reaction Neural Network
chemical-kinetics neural-ode sciml
Language:Julia 96
sangyun884 / fast-ode
Official PyTorch implementation for the paper Minimizing Trajectory Curvature of ODE-based Generative Models, ICML 2023
diffusion-models generative-models neural-ode score-based-generative-models
Language:Python 88
SciML / DiffEqProblemLibrary.jl
A library of premade problems for examples and testing differential equation solvers and other SciML scientific machine learning tools
differentialequations differential-equations ode dae dde sde stochastic-differential-equations neural-ode neural-differential-equations sciml scientific-machine-learning
Language:Julia 85
cfinlay / ffjord-rnode
Regularized Neural ODEs (RNODE)
neural-ode density-estimation generative-model normalizing-flow
Language:Python 84
SciML / MultiScaleArrays.jl
A framework for developing multi-scale arrays for use in scientific machine learning (SciML) simulations
multiscale models differentialequations differential-equations ode sde dae dde hybrid-differential-equations neural-ode neural-differential-equations scientific-ml scientific-ai sciml scientific-machine-learning automatic-differentiation julia
Language:Julia 77
martenlienen / finite-element-networks
Reference implementation of Finite Element Networks as proposed in "Learning the Dynamics of Physical Systems from Sparse Observations with Finite Element Networks" at ICLR 2022
neural-ode spatio-temporal forecasting pde
Language:Jupyter Notebook 69
jason71995 / Keras_ODENet
Implementation of (2018) Neural Ordinary Differential Equations on Keras
deep-learning keras neural-network neural-ode python
Language:Python 66
SciML / sciml.ai
The SciML Scientific Machine Learning Software Organization Website
machine-learning differential-equations sciml scientific-machine-learning ode sde dae dde neural-ode physics-informed-learning franklin julialang julia julia-language
Language:CSS 65
SciML / DiffEqParamEstim.jl
Easy scientific machine learning (SciML) parameter estimation with pre-built loss functions
differentialequations estimation parameter-estimation differential-equations neural-ode scientfic-ml scientific-ai ode sde dae dde ordinary-differential-equations stochastic-differential-equations differential-algebraic-equations
Language:Julia 62
SciML / BoundaryValueDiffEq.jl
Boundary value problem (BVP) solvers for scientific machine learning (SciML)
differentialequations differential-equations bvp neural-bvp neural-ode neural-differential-equations gpu sciml scientific-machine-learning
Language:Julia 52
thaipduong / SE3HamDL
Code for our RSS'21 paper: "Hamiltonian-based Neural ODE Networks on the SE(3) Manifold For Dynamics Learning and Control"
neural-ode dynamics-learning trajectory-tracking physics-informed-neural-networks
Language:Python 46
gabrevaya / LatentDiffEq.jl
Latent Differential Equations models in Julia.
julia differential-equations dynamical-systems latent-variable-models scientific-machine-learning machine-learning latent-odes goku-nets sci-ml flux diffeqflux neural-ode sciml
Language:Julia 38