Topic: "neural-ode"
SciML/SciMLBook
Parallel Computing and Scientific Machine Learning (SciML): Methods and Applications (MIT 18.337J/6.338J)
Language: HTML - Size: 117 MB - Last synced at: 3 days ago - Pushed at: about 2 months ago - Stars: 1,901 - Forks: 347
DiffEqML/torchdyn
A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods
Language: Jupyter Notebook - Size: 33.3 MB - Last synced at: 29 days ago - Pushed at: about 1 year ago - Stars: 1,465 - Forks: 132
raminmh/CfC
Closed-form Continuous-time Neural Networks
Language: Python - Size: 93.5 MB - Last synced at: 29 days ago - Pushed at: 10 months ago - Stars: 939 - Forks: 153
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
Language: Julia - Size: 181 MB - Last synced at: 3 days ago - Pushed at: 13 days ago - Stars: 892 - Forks: 156
msurtsukov/neural-ode
Jupyter notebook with Pytorch implementation of Neural Ordinary Differential Equations
Language: Jupyter Notebook - Size: 2.17 MB - Last synced at: about 1 month ago - Pushed at: about 1 year ago - Stars: 744 - Forks: 125
SciML/SciMLTutorials.jl
Tutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.
Language: CSS - Size: 217 MB - Last synced at: 3 days ago - Pushed at: about 1 year ago - Stars: 734 - Forks: 126
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.
Language: Julia - Size: 84.3 MB - Last synced at: 7 days ago - Pushed at: 16 days ago - Stars: 348 - Forks: 73
SciML/DiffEqBase.jl
The lightweight Base library for shared types and functionality for defining differential equation and scientific machine learning (SciML) problems
Language: Julia - Size: 3.1 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 331 - Forks: 117
SciML/SciMLBenchmarks.jl
Scientific machine learning (SciML) benchmarks, AI for science, and (differential) equation solvers. Covers Julia, Python (PyTorch, Jax), MATLAB, R
Language: MATLAB - Size: 186 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 328 - Forks: 92
SciML/ComponentArrays.jl
Arrays with arbitrarily nested named components.
Language: Julia - Size: 4.8 MB - Last synced at: 5 days ago - Pushed at: 8 days ago - Stars: 316 - Forks: 37
mitmath/18S096SciML
18.S096 - Applications of Scientific Machine Learning
Language: HTML - Size: 31.9 MB - Last synced at: 3 months ago - Pushed at: about 3 years ago - Stars: 310 - Forks: 49
SciML/DiffEqGPU.jl
GPU-acceleration routines for DifferentialEquations.jl and the broader SciML scientific machine learning ecosystem
Language: Julia - Size: 2.9 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 299 - Forks: 33
SciML/DiffEqDocs.jl
Documentation for the DiffEq differential equations and scientific machine learning (SciML) ecosystem
Language: Julia - Size: 289 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 293 - Forks: 247
SciML/DiffEqOperators.jl 📦
Linear operators for discretizations of differential equations and scientific machine learning (SciML)
Language: Julia - Size: 3.33 MB - Last synced at: 3 days ago - Pushed at: almost 2 years ago - Stars: 283 - Forks: 73
jacobjinkelly/easy-neural-ode
Code for the paper "Learning Differential Equations that are Easy to Solve"
Language: Python - Size: 25.9 MB - Last synced at: 5 months ago - Pushed at: over 3 years ago - Stars: 270 - Forks: 31
martenlienen/torchode
A parallel ODE solver for PyTorch
Language: Python - Size: 81.1 KB - Last synced at: 4 days ago - Pushed at: 7 months ago - Stars: 255 - Forks: 18
ChrisRackauckas/universal_differential_equations
Repository for the Universal Differential Equations for Scientific Machine Learning paper, describing a computational basis for high performance SciML
Language: Julia - Size: 13.9 MB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 222 - Forks: 59
titu1994/tfdiffeq
Tensorflow implementation of Ordinary Differential Equation Solvers with full GPU support
Language: Python - Size: 29 MB - Last synced at: 4 days ago - Pushed at: over 4 years ago - Stars: 218 - Forks: 53
Zymrael/gde
Neural Graph Differential Equations (Neural GDEs)
Language: Jupyter Notebook - Size: 1 MB - Last synced at: about 1 month ago - Pushed at: about 4 years ago - Stars: 200 - Forks: 33
xwinxu/bayeSDE
Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"
Language: Python - Size: 46.7 MB - Last synced at: over 1 year ago - Pushed at: about 3 years ago - Stars: 145 - Forks: 24
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)
Language: Julia - Size: 2.12 GB - Last synced at: 3 days ago - Pushed at: 27 days ago - Stars: 140 - Forks: 37
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
Language: Julia - Size: 41.4 MB - Last synced at: 3 days ago - Pushed at: about 2 months ago - Stars: 124 - Forks: 29
SciML/ODE.jl 📦
Assorted basic Ordinary Differential Equation solvers for scientific machine learning (SciML). Deprecated: Use DifferentialEquations.jl instead.
Language: Julia - Size: 700 KB - Last synced at: 3 days ago - Pushed at: about 1 year ago - Stars: 102 - Forks: 49
SciML/DiffEqCallbacks.jl
A library of useful callbacks for hybrid scientific machine learning (SciML) with augmented differential equation solvers
Language: Julia - Size: 3.31 GB - Last synced at: 3 days ago - Pushed at: 19 days ago - Stars: 98 - Forks: 52
DENG-MIT/CRNN
Chemical Reaction Neural Network
Language: Julia - Size: 3.28 MB - Last synced at: about 2 months ago - Pushed at: 9 months ago - Stars: 83 - Forks: 19
sangyun884/fast-ode
Official PyTorch implementation for the paper Minimizing Trajectory Curvature of ODE-based Generative Models, ICML 2023
Language: Python - Size: 1.01 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 79 - Forks: 6
SciML/MultiScaleArrays.jl
A framework for developing multi-scale arrays for use in scientific machine learning (SciML) simulations
Language: Julia - Size: 1.03 MB - Last synced at: 3 days ago - Pushed at: 6 months ago - Stars: 75 - Forks: 16
SciML/DiffEqProblemLibrary.jl
A library of premade problems for examples and testing differential equation solvers and other SciML scientific machine learning tools
Language: Julia - Size: 762 KB - Last synced at: 3 days ago - Pushed at: 7 days ago - Stars: 70 - Forks: 34
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
Language: Jupyter Notebook - Size: 1.27 MB - Last synced at: 4 days ago - Pushed at: 12 months ago - Stars: 69 - Forks: 6
cfinlay/ffjord-rnode
Regularized Neural ODEs (RNODE)
Language: Python - Size: 31.3 KB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 67 - Forks: 13
SciML/DiffEqParamEstim.jl
Easy scientific machine learning (SciML) parameter estimation with pre-built loss functions
Language: Julia - Size: 3.76 MB - Last synced at: 3 days ago - Pushed at: 4 months ago - Stars: 59 - Forks: 34
SciML/sciml.ai
The SciML Scientific Machine Learning Software Organization Website
Language: CSS - Size: 8.43 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 55 - Forks: 42
SciML/BoundaryValueDiffEq.jl
Boundary value problem (BVP) solvers for scientific machine learning (SciML)
Language: Julia - Size: 3.79 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 50 - Forks: 38
gabrevaya/LatentDiffEq.jl
Latent Differential Equations models in Julia.
Language: Julia - Size: 1.96 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 35 - Forks: 5
jeongwhanchoi/LT-OCF
LT-OCF: Learnable-Time ODE-based Collaborative Filtering, CIKM'21
Language: Python - Size: 57 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 34 - Forks: 11
SciML/ModelingToolkitNeuralNets.jl
Symbolic-Numeric Universal Differential Equations for Automating Scientific Machine Learning (SciML)
Language: Julia - Size: 713 KB - Last synced at: 5 days ago - Pushed at: about 1 month ago - Stars: 30 - Forks: 2
Gorilla-Lab-SCUT/LPDC-Net
CVPR2021 paper "Learning Parallel Dense Correspondence from Spatio-Temporal Descriptorsfor Efficient and Robust 4D Reconstruction"
Language: Python - Size: 21.6 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 28 - Forks: 1
avik-pal/RegNeuralDE.jl
Official Implementation of "Opening the Blackbox: Accelerating Neural Differential Equations by Regularizing Internal Solver Heuristics" (ICML 2021)
Language: Julia - Size: 259 KB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 26 - Forks: 4
juliagusak/neural-ode-metasolver
Supplementary code for the paper "Meta-Solver for Neural Ordinary Differential Equations" https://arxiv.org/abs/2103.08561
Language: Python - Size: 15.1 MB - Last synced at: 11 days ago - Pushed at: about 4 years ago - Stars: 25 - Forks: 1
SciML/SciMLTutorialsOutput
Tutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.
Language: HTML - Size: 72.6 MB - Last synced at: 3 days ago - Pushed at: over 1 year ago - Stars: 22 - Forks: 4
thaipduong/SE3HamDL
Code for our RSS'21 paper: "Hamiltonian-based Neural ODE Networks on the SE(3) Manifold For Dynamics Learning and Control"
Language: Python - Size: 162 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 20 - Forks: 11
SciML/OptimalControl.jl 📦
A component of the SciML scientific machine learning ecosystem for optimal control
Language: Julia - Size: 4.88 KB - Last synced at: 3 days ago - Pushed at: over 4 years ago - Stars: 20 - Forks: 7
frankschae/Control-of-Stochastic-Quantum-Dynamics-with-Differentiable-Programming
Repository for the Control of Stochastic Quantum Dynamics with Differentiable Programming paper.
Language: Julia - Size: 252 KB - Last synced at: 5 months ago - Pushed at: about 4 years ago - Stars: 16 - Forks: 2
juliagusak/neural-ode-norm
Models and code for the ICLR 2020 workshop paper "Towards Understanding Normalization in Neural ODEs"
Language: Python - Size: 309 KB - Last synced at: 11 days ago - Pushed at: about 5 years ago - Stars: 16 - Forks: 0
Mathepia/awesome-sciml
Awesome-spatial-temporal-scientific-machine-learning-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.
Language: JavaScript - Size: 1.56 MB - Last synced at: 18 days ago - Pushed at: over 2 years ago - Stars: 13 - Forks: 1
KrishnaswamyLab/ImageFlowNet
[ICASSP 2025 Oral] ImageFlowNet: Forecasting Multiscale Image-Level Trajectories of Disease Progression with Irregularly-Sampled Longitudinal Medical Images
Language: Python - Size: 10.8 MB - Last synced at: 6 days ago - Pushed at: about 1 month ago - Stars: 12 - Forks: 0
xAlpharax/NeuralODE-Notes-Projects
Repository for notes, projects and snippets on NODEs. Includes results after training CNN based networks with different methods on MNIST, CIFAR-10, CelebA and CatsAndDogs datasets accordingly.
Language: Python - Size: 150 MB - Last synced at: about 1 month ago - Pushed at: about 2 years ago - Stars: 12 - Forks: 0
filippo-masi/NICE
Neural integration for constitutive equations
Language: Jupyter Notebook - Size: 5.46 MB - Last synced at: about 2 months ago - Pushed at: over 1 year ago - Stars: 10 - Forks: 1
Zymrael/awesome-latent-control
A collection of resources regarding the interplay between control, causality, latent structure and self-supervision.
Size: 10.7 KB - Last synced at: 3 days ago - Pushed at: over 4 years ago - Stars: 9 - Forks: 0
ChenLiu-1996/ImageFlowNet
[ICASSP 2025 Oral] ImageFlowNet: Forecasting Multiscale Image-Level Trajectories of Disease Progression with Irregularly-Sampled Longitudinal Medical Images
Language: Python - Size: 10.8 MB - Last synced at: 6 days ago - Pushed at: about 1 month ago - Stars: 8 - Forks: 0
TheQuantScientist/PSR-NODE
[PACIS 2024] The official repo for the paper: "Phase Space Reconstructed Neural Ordinary Differential Equations Model for Stock Price Forecasting".
Language: Jupyter Notebook - Size: 9.85 MB - Last synced at: 6 days ago - Pushed at: 8 months ago - Stars: 8 - Forks: 2
jeehyunHwang/Neural-Diffusion-Equation
NDE: Climate Modeling with Neural Diffusion Equation, ICDM'21
Language: Python - Size: 10.5 MB - Last synced at: over 1 year ago - Pushed at: about 3 years ago - Stars: 7 - Forks: 5
erdc/node_nirom
Neural Ordinary Differential Equations for model order reduction of time-dependent PDEs
Language: Jupyter Notebook - Size: 8.34 MB - Last synced at: about 1 year ago - Pushed at: almost 4 years ago - Stars: 7 - Forks: 2
yandexdataschool/inverse-problem-intensive
A short course on simulation-based infernce for physics at YSDA in April 2021
Language: Jupyter Notebook - Size: 8.57 MB - Last synced at: about 1 month ago - Pushed at: about 4 years ago - Stars: 7 - Forks: 1
SciML/BridgeDiffEq.jl
A thin wrapper over Bridge.jl for the SciML scientific machine learning common interface, enabling new methods for neural stochastic differential equations (neural SDEs)
Language: Julia - Size: 60.5 KB - Last synced at: 3 days ago - Pushed at: 6 months ago - Stars: 6 - Forks: 7
gpavanb1/NODEFit
Fit time-series data with a Neural Differential Equation!
Language: Python - Size: 135 KB - Last synced at: about 14 hours ago - Pushed at: over 1 year ago - Stars: 6 - Forks: 0
jaketae/graph-neural-ode
Graph neural ordinary differential equations
Language: Python - Size: 1.01 MB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 6 - Forks: 0
borjanG/leia
A toolbox for learning with neural ODEs.
Language: Python - Size: 18.2 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 6 - Forks: 1
serre-lab/KuraNet
This repository contains the code for training and visualizing the fully-differentiable Kuramoto model, "KuraNet".
Language: Python - Size: 23.1 MB - Last synced at: 14 days ago - Pushed at: almost 4 years ago - Stars: 6 - Forks: 2
jeongwhanchoi/Neural-Diffusion-Equation Fork of jeehyunHwang/Neural-Diffusion-Equation
Climate Modeling with Neural Diffusion Equation, ICDM'21
Language: Python - Size: 10.5 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 5 - Forks: 0
tsinghua-fib-lab/Activity-Simulation-SAND
The official PyTorch implementation of "Learning to Simulate Daily Activities via Modeling Dynamic Human Needs" (WWW'23)
Language: Python - Size: 1.22 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 5 - Forks: 2
Saltsmart/Forecast_with_Neural_ODE
This is a repo for Neural ODE and CDE forecasters.
Language: Python - Size: 34.2 KB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 5 - Forks: 0
chonlei/neural-ode-ion-channels
Code and figures for "Neural network differential equations for ion channel modelling".
Language: Python - Size: 433 MB - Last synced at: 5 months ago - Pushed at: almost 4 years ago - Stars: 5 - Forks: 2
LIKAT-Rostock/kcnode-paper
Kinetics-Constrained Neural Ordinary Differential Equations (KCNODE) that can be trained even with small data
Language: Jupyter Notebook - Size: 285 KB - Last synced at: 12 months ago - Pushed at: over 1 year ago - Stars: 3 - Forks: 0
ntduong/Neural-ODE
Experimenting with Neural Ordinary Differential Equations (NODE)
Language: Jupyter Notebook - Size: 2.12 MB - Last synced at: about 2 years ago - Pushed at: almost 6 years ago - Stars: 3 - Forks: 0
quchangle1/ReCODE
SIGIR'2024: ReCODE: Modeling Repeat Consumption with Neural ODE
Language: Python - Size: 29.3 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 2 - Forks: 0
ddrous/nodepint
Parallel-in-time integration of Neural ODEs with reduced basis approximation
Language: Python - Size: 11.9 MB - Last synced at: 5 months ago - Pushed at: about 1 year ago - Stars: 2 - Forks: 0
jakublala/coarsegrained-md-neural-ode
Thesis repository on neural ordinary differential equations used for coarse-graining molecular dynamics
Language: Python - Size: 170 MB - Last synced at: 29 days ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 2
farenga/abe-pnode
Approximately Bayesian Ensembling for Parameterized Neural ODEs.
Language: Jupyter Notebook - Size: 79.5 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0
syanga/ISSNeuralODE
Code accompanying paper "Input-to-State Stable Neural Ordinary Differential Equations with Applications to Transient Modeling of Circuits" at L4DC 2022.
Language: Julia - Size: 242 KB - Last synced at: about 1 year ago - Pushed at: about 3 years ago - Stars: 2 - Forks: 0
YukiYasuda2718/normalizing-flows
Reimplementations of some normalizing flow algorithms using tensorflow 2.1 and tensorflow probability 0.9
Language: Jupyter Notebook - Size: 2.37 MB - Last synced at: about 2 years ago - Pushed at: about 5 years ago - Stars: 2 - Forks: 0
cadop/nodeik
Neural Ordinary Differential Equations for Inverse Kinematics
Language: Python - Size: 191 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0
jakublala/md-neural-ode
First two problems of my Master's Thesis on Coarse-Graining of Molecular Dynamics with Neural Ordinary Differential Equations
Language: Jupyter Notebook - Size: 168 MB - Last synced at: about 2 months ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 1
ldobrien1234/experimenting-with-gnodes
I created a Graph Neural Ordinary Differential Equation (GNODE) for modeling Newtonian gravity.
Language: Python - Size: 467 KB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0
alirezaafzalaghaei/neural-ode
neural ordinary differential equations for undergraduate students
Language: TeX - Size: 2.53 MB - Last synced at: over 1 year ago - Pushed at: about 5 years ago - Stars: 1 - Forks: 0
IlyaOrson/DirectCollocationNeuralODEs
A direct collocation approach for more effective training of Neural ODEs
Language: HTML - Size: 759 KB - Last synced at: about 2 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0
buntonj/epidemiology_sysID
Using Neural ODEs to fit a networked UIV model to an SIR model of an epidemic.
Language: Python - Size: 1.69 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 1
Aborevsky01/NN-letter-recognition
A brief study conducted as a part of major "Applied mathematics and computer science" at the HSE University.
Language: Python - Size: 6.89 MB - Last synced at: over 1 year ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0
emaballarin/cathode 📦
Putting [A]NODEs ([Augmented] Neural ODEs) to work, for Time Series prediction and simulation
Language: Python - Size: 16.3 MB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 0
