Ecosyste.ms: Repos
An open API service providing repository metadata for many open source software ecosystems.
GitHub topics: neural-ode
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: 1.5 GB - Last synced: about 20 hours ago - Pushed: 6 days ago - Stars: 133 - Forks: 34
SciML/ModelingToolkitNeuralNets.jl
Symbolic-Numeric Universal Differential Equations for Automating Scientific Machine Learning (SciML)
Language: Julia - Size: 313 KB - Last synced: 1 day ago - Pushed: 2 days ago - Stars: 13 - Forks: 1
jonniedie/ComponentArrays.jl
Arrays with arbitrarily nested named components.
Language: Julia - Size: 4.04 MB - Last synced: 4 days ago - Pushed: 4 days ago - Stars: 277 - Forks: 33
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: 116 MB - Last synced: about 18 hours ago - Pushed: 13 days ago - Stars: 841 - Forks: 151
SciML/DiffEqCallbacks.jl
A library of useful callbacks for hybrid scientific machine learning (SciML) with augmented differential equation solvers
Language: Julia - Size: 2.42 GB - Last synced: about 22 hours ago - Pushed: 13 days ago - Stars: 84 - Forks: 44
ddrous/nodepint
Parallel-in-time integration of Neural ODEs with reduced basis approximation
Language: Python - Size: 11.9 MB - Last synced: 24 days ago - Pushed: 25 days ago - Stars: 1 - Forks: 0
jeongwhanchoi/Neural-Diffusion-Equation Fork of jeehyunHwang/Neural-Diffusion-Equation
Climate Modeling with Neural Diffusion Equation, ICDM'21
Size: 0 Bytes - Last synced: 24 days ago - Pushed: over 2 years ago - Stars: 2 - Forks: 0
quchangle1/ReCODE
SIGIR'2024: ReCODE: Modeling Repeat Consumption with Neural ODE
Language: Python - Size: 27.3 KB - Last synced: 25 days ago - Pushed: 26 days ago - Stars: 0 - Forks: 0
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: 23 days ago - Pushed: about 2 months ago - Stars: 1,272 - Forks: 121
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: 2.84 MB - Last synced: about 1 month ago - Pushed: about 1 month ago - Stars: 295 - Forks: 102
mitmath/18S096SciML
18.S096 - Applications of Scientific Machine Learning
Language: HTML - Size: 31.9 MB - Last synced: 14 days ago - Pushed: about 2 years ago - Stars: 303 - Forks: 48
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: 184 MB - Last synced: about 1 month ago - Pushed: about 1 month ago - Stars: 289 - Forks: 70
erdc/node_nirom
Neural Ordinary Differential Equations for model order reduction of time-dependent PDEs
Language: Jupyter Notebook - Size: 8.34 MB - Last synced: about 1 month ago - Pushed: almost 3 years ago - Stars: 7 - Forks: 2
SciML/SciMLBook
Parallel Computing and Scientific Machine Learning (SciML): Methods and Applications (MIT 18.337J/6.338J)
Language: HTML - Size: 107 MB - Last synced: about 1 month ago - Pushed: about 1 month ago - Stars: 1,784 - Forks: 327
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: 74.2 MB - Last synced: about 1 month ago - Pushed: about 1 month ago - Stars: 306 - Forks: 66
SciML/MultiScaleArrays.jl
A framework for developing multi-scale arrays for use in scientific machine learning (SciML) simulations
Language: Julia - Size: 697 KB - Last synced: about 1 month ago - Pushed: about 1 month ago - Stars: 70 - Forks: 16
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: about 1 month ago - Pushed: 8 months ago - Stars: 706 - Forks: 128
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: 712 KB - Last synced: about 1 month ago - Pushed: about 1 month ago - Stars: 54 - Forks: 34
SciML/DiffEqGPU.jl
GPU-acceleration routines for DifferentialEquations.jl and the broader SciML scientific machine learning ecosystem
Language: Julia - Size: 2.78 MB - Last synced: about 1 month ago - Pushed: 3 months ago - Stars: 267 - Forks: 27
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: about 2 months ago - Pushed: about 2 years ago - Stars: 2 - Forks: 0
SciML/DiffEqDocs.jl
Documentation for the DiffEq differential equations and scientific machine learning (SciML) ecosystem
Language: Julia - Size: 191 MB - Last synced: about 1 month ago - Pushed: about 2 months ago - Stars: 259 - Forks: 236
TheQuantScientist/PSR-NODE
This study introduces the innovative Neural Ordinary Differential Equations (NODE) model tailored for stock price forecasting, utilizing continuous data interpretation for handling irregular time series efficiently. Empirical evidence showcases NODE's superiority, achieving over 76% reduction in MAE and RMSE metrics compared to baseline models, dem
Language: Jupyter Notebook - Size: 8.27 MB - Last synced: about 2 months ago - Pushed: about 2 months ago - Stars: 3 - Forks: 0
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: 14 days ago - Pushed: over 1 year ago - Stars: 214 - Forks: 59
martenlienen/torchode
A parallel ODE solver for PyTorch
Language: Python - Size: 184 KB - Last synced: about 1 month ago - Pushed: 6 months ago - Stars: 182 - Forks: 6
SciML/DiffEqOperators.jl 📦
Linear operators for discretizations of differential equations and scientific machine learning (SciML)
Language: Julia - Size: 3.33 MB - Last synced: about 1 month ago - Pushed: 11 months ago - Stars: 283 - Forks: 74
jacobjinkelly/easy-neural-ode
Code for the paper "Learning Differential Equations that are Easy to Solve"
Language: Python - Size: 25.9 MB - Last synced: 2 months ago - Pushed: over 2 years ago - Stars: 262 - Forks: 30
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: 38.7 MB - Last synced: about 1 month ago - Pushed: 2 months ago - Stars: 119 - Forks: 29
SciML/sciml.ai
The SciML Scientific Machine Learning Software Organization Website
Language: CSS - Size: 4.68 MB - Last synced: about 1 month ago - Pushed: about 2 months ago - Stars: 49 - Forks: 31
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: about 2 months ago - Pushed: almost 3 years ago - Stars: 6 - Forks: 2
msurtsukov/neural-ode
Jupyter notebook with Pytorch implementation of Neural Ordinary Differential Equations
Language: Jupyter Notebook - Size: 2.17 MB - Last synced: 3 months ago - Pushed: 3 months ago - Stars: 599 - Forks: 111
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: 3 days ago - Pushed: over 1 year ago - Stars: 7 - Forks: 1
gpavanb1/NODEFit
Fit time-series data with a Neural Differential Equation!
Language: Python - Size: 135 KB - Last synced: 26 days ago - Pushed: 5 months ago - Stars: 4 - Forks: 0
filippo-masi/NICE
Neural integration for constitutive equations
Language: Jupyter Notebook - Size: 5.46 MB - Last synced: 4 months ago - Pushed: 5 months ago - Stars: 3 - Forks: 0
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: 4 months ago - Pushed: almost 2 years ago - Stars: 60 - Forks: 5
SciML/BoundaryValueDiffEq.jl
Boundary value problem (BVP) solvers for scientific machine learning (SciML)
Language: Julia - Size: 653 KB - Last synced: about 1 month ago - Pushed: about 1 month ago - Stars: 39 - Forks: 29
gabrevaya/LatentDiffEq.jl
Latent Differential Equations models in Julia.
Language: Julia - Size: 1.96 MB - Last synced: 4 months ago - Pushed: over 1 year ago - Stars: 35 - Forks: 5
DENG-MIT/CRNN
Chemical Reaction Neural Network
Language: Julia - Size: 2.8 MB - Last synced: 4 months ago - Pushed: 12 months ago - Stars: 61 - Forks: 15
jeongwhanchoi/LT-OCF
LT-OCF: Learnable-Time ODE-based Collaborative Filtering, CIKM'21
Language: Python - Size: 56.7 MB - Last synced: 24 days ago - Pushed: over 1 year ago - Stars: 20 - Forks: 8
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: 25 days ago - Pushed: about 1 year ago - Stars: 9 - Forks: 0
ldobrien1234/experimenting-with-gnodes
I created a Graph Neural Ordinary Differential Equation (GNODE) for modeling Newtonian gravity.
Language: Python - Size: 467 KB - Last synced: 5 months ago - Pushed: over 2 years ago - Stars: 1 - Forks: 0
SciML/DiffEqParamEstim.jl
Easy scientific machine learning (SciML) parameter estimation with pre-built loss functions
Language: Julia - Size: 5.26 MB - Last synced: about 1 month ago - Pushed: about 1 month ago - Stars: 60 - Forks: 34
SciML/ODE.jl
Assorted basic Ordinary Differential Equation solvers for scientific machine learning (SciML). Deprecated: Use DifferentialEquations.jl instead.
Language: Julia - Size: 698 KB - Last synced: about 1 month ago - Pushed: about 1 month ago - Stars: 106 - Forks: 50
raminmh/CfC
Closed-form Continuous-time Neural Networks
Language: Python - Size: 93.5 MB - Last synced: 6 months ago - Pushed: over 1 year ago - Stars: 745 - Forks: 117
Zymrael/gde
Neural Graph Differential Equations (Neural GDEs)
Language: Jupyter Notebook - Size: 1 MB - Last synced: 6 months ago - Pushed: about 3 years ago - Stars: 165 - Forks: 27
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: about 1 month ago - Pushed: 4 months ago - Stars: 20 - Forks: 3
cadop/nodeik
Neural Ordinary Differential Equations for Inverse Kinematics
Language: Python - Size: 191 KB - Last synced: 7 months ago - Pushed: 7 months ago - Stars: 1 - Forks: 0
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: 65.4 KB - Last synced: about 1 month ago - Pushed: about 1 month ago - Stars: 5 - Forks: 7
titu1994/tfdiffeq
Tensorflow implementation of Ordinary Differential Equation Solvers with full GPU support
Language: Python - Size: 29 MB - Last synced: 7 months ago - Pushed: over 3 years ago - Stars: 213 - Forks: 47
xwinxu/bayeSDE
Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"
Language: Python - Size: 46.7 MB - Last synced: 6 months ago - Pushed: over 2 years ago - Stars: 145 - Forks: 24
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: 3 months ago - Pushed: about 3 years ago - Stars: 15 - Forks: 3
jeehyunHwang/Neural-Diffusion-Equation
NDE: Climate Modeling with Neural Diffusion Equation, ICDM'21
Language: Python - Size: 10.5 MB - Last synced: 5 months ago - Pushed: about 2 years ago - Stars: 7 - Forks: 5
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: 8 months ago - Pushed: 8 months ago - Stars: 5 - Forks: 2
alirezaafzalaghaei/neural-ode
neural ordinary differential equations for undergraduate students
Language: TeX - Size: 2.53 MB - Last synced: 8 months ago - Pushed: about 4 years ago - Stars: 1 - Forks: 0
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: 14 days ago - Pushed: over 1 year ago - Stars: 27 - Forks: 4
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: 9 months ago - Pushed: about 2 years ago - Stars: 0 - Forks: 0
KevinyWu/ecg_neural_ode
Classification of ECG signals from the MIT-BIH dataset using ResNet, Neural ODE, and Deep Equilibrium Network.
Language: Jupyter Notebook - Size: 8.79 KB - Last synced: 9 months ago - Pushed: 9 months ago - Stars: 0 - Forks: 0
farenga/abe-pnode
Approximately Bayesian Ensembling for Parameterized Neural ODEs.
Language: Jupyter Notebook - Size: 79.5 MB - Last synced: 9 months ago - Pushed: over 1 year ago - Stars: 2 - Forks: 0
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: 10 months ago - Pushed: about 3 years ago - Stars: 7 - Forks: 1
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: 10 months ago - Pushed: 10 months ago - Stars: 20 - Forks: 11
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: 7 months ago - Pushed: 7 months ago - Stars: 0 - 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: 1 day ago - Pushed: over 3 years ago - Stars: 9 - Forks: 0
borjanG/leia
A toolbox for learning with neural ODEs.
Language: Python - Size: 18.2 MB - Last synced: about 1 year ago - Pushed: about 1 year ago - Stars: 6 - Forks: 1
cfinlay/ffjord-rnode
Regularized Neural ODEs (RNODE)
Language: Python - Size: 31.3 KB - Last synced: about 1 year ago - Pushed: almost 3 years ago - Stars: 67 - Forks: 13
chonlei/neural-ode-ion-channels
Code and figures for "Neural network differential equations for ion channel modelling".
Language: Python - Size: 433 MB - Last synced: about 1 year ago - Pushed: almost 3 years ago - Stars: 4 - 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: about 1 year ago - Pushed: about 2 years ago - Stars: 5 - 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: about 1 year ago - Pushed: almost 4 years ago - Stars: 0 - Forks: 0
SciML/OptimalControl.jl 📦
A component of the SciML scientific machine learning ecosystem for optimal control
Language: Julia - Size: 4.88 KB - Last synced: about 1 month ago - Pushed: over 3 years ago - Stars: 20 - Forks: 7
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: about 1 year ago - Pushed: over 2 years ago - Stars: 28 - Forks: 1
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: 2 months ago - Pushed: about 4 years ago - Stars: 15 - 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: about 1 year ago - Pushed: over 1 year ago - Stars: 0 - Forks: 1
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: about 1 year ago - Pushed: almost 2 years ago - Stars: 0 - Forks: 0
ntduong/Neural-ODE
Experimenting with Neural Ordinary Differential Equations (NODE)
Language: Jupyter Notebook - Size: 2.12 MB - Last synced: about 1 year ago - Pushed: almost 5 years ago - Stars: 3 - 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: about 1 year ago - Pushed: about 4 years ago - Stars: 2 - Forks: 0
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: about 1 year ago - Pushed: about 3 years ago - Stars: 25 - Forks: 1