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Search results for differential equations neural ode
differential-equations
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26 search results found
Scimlbook
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1,722
Parallel Computing and Scientific Machine Learning (SciML): Methods and Applications (MIT 18.337J/6.338J)
Diffeqflux.jl
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810
Universal neural differential equations with O(1) backprop, GPUs, and stiff+non-stiff DE solvers, demonstrating scientific machine learning (SciML) and physics-informed machine learning methods
Scimltutorials.jl
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698
Tutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.
Scimlsensitivity.jl
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291
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.
Diffeqbase.jl
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282
The lightweight Base library for shared types and functionality for defining differential equation and scientific machine learning (SciML) problems
Diffeqoperators.jl
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279
Linear operators for discretizations of differential equations and scientific machine learning (SciML)
Scimlbenchmarks.jl
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279
Scientific machine learning (SciML) benchmarks, AI for science, and (differential) equation solvers. Covers Julia, Python (PyTorch, Jax), MATLAB, R
18s096sciml
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268
18.S096 - Applications of Scientific Machine Learning
Diffeqgpu.jl
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261
GPU-acceleration routines for DifferentialEquations.jl and the broader SciML scientific machine learning ecosystem
Componentarrays.jl
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258
Arrays with arbitrarily nested named components.
Diffeqdocs.jl
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251
Documentation for the DiffEq differential equations and scientific machine learning (SciML) ecosystem
Easy Neural Ode
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186
Code for the paper "Learning Differential Equations that are Easy to Solve"
Jumpprocesses.jl
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127
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)
Diffeqbayes.jl
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119
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
Ode.jl
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106
Assorted basic Ordinary Differential Equation solvers for scientific machine learning (SciML). Deprecated: Use DifferentialEquations.jl instead.
Diffeqcallbacks.jl
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77
A library of useful callbacks for hybrid scientific machine learning (SciML) with augmented differential equation solvers
Multiscalearrays.jl
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69
A framework for developing multi-scale arrays for use in scientific machine learning (SciML) simulations
Diffeqparamestim.jl
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60
Easy scientific machine learning (SciML) parameter estimation with pre-built loss functions
Diffeqproblemlibrary.jl
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51
A library of premade problems for examples and testing differential equation solvers and other SciML scientific machine learning tools
Sciml.ai
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48
The SciML Scientific Machine Learning Software Organization Website
Boundaryvaluediffeq.jl
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39
Boundary value problem (BVP) solvers for scientific machine learning (SciML)
Latentdiffeq.jl
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33
Latent Differential Equations models in Julia.
Regneuralde.jl
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25
Official Implementation of "Opening the Blackbox: Accelerating Neural Differential Equations by Regularizing Internal Solver Heuristics" (ICML 2021)
Scimltutorialsoutput
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18
Tutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.
Lt Ocf
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10
LT-OCF: Learnable-Time ODE-based Collaborative Filtering, CIKM'21
Bridgediffeq.jl
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5
A thin wrapper over Bridge.jl for the SciML scientific machine learning common interface, enabling new methods for neural stochastic differential equations (neural SDEs)
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1-26 of 26 search results
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