Awesome Open Source
Search
Programming Languages
Languages
All Categories
Categories
About
Search results for julia scientific machine learning
julia
x
scientific-machine-learning
x
97 search results found
Differentialequations.jl
⭐
2,689
Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equations (SDEs), delay differential equations (DDEs), differential-algebraic equations (DAEs), and more in Julia.
Modelingtoolkit.jl
⭐
1,292
An acausal modeling framework for automatically parallelized scientific machine learning (SciML) in Julia. A computer algebra system for integrated symbolics for physics-informed machine learning and automated transformations of differential equations
Neuralpde.jl
⭐
864
Physics-Informed Neural Networks (PINN) Solvers of (Partial) Differential Equations for Scientific Machine Learning (SciML) accelerated simulation
Diffeqflux.jl
⭐
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
⭐
698
Tutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.
Optimization.jl
⭐
625
Mathematical Optimization in Julia. Local, global, gradient-based and derivative-free. Linear, Quadratic, Convex, Mixed-Integer, and Nonlinear Optimization in one simple, fast, and differentiable interface.
Ordinarydiffeq.jl
⭐
479
High performance ordinary differential equation (ODE) and differential-algebraic equation (DAE) solvers, including neural ordinary differential equations (neural ODEs) and scientific machine learning (SciML)
Diffeqpy
⭐
456
Solving differential equations in Python using DifferentialEquations.jl and the SciML Scientific Machine Learning organization
Catalyst.jl
⭐
402
Chemical reaction network and systems biology interface for scientific machine learning (SciML). High performance, GPU-parallelized, and O(1) solvers in open source software.
Datadrivendiffeq.jl
⭐
393
Data driven modeling and automated discovery of dynamical systems for the SciML Scientific Machine Learning organization
Surrogates.jl
⭐
302
Surrogate modeling and optimization for scientific machine learning (SciML)
Scimlsensitivity.jl
⭐
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
⭐
282
The lightweight Base library for shared types and functionality for defining differential equation and scientific machine learning (SciML) problems
Scimlbenchmarks.jl
⭐
279
Scientific machine learning (SciML) benchmarks, AI for science, and (differential) equation solvers. Covers Julia, Python (PyTorch, Jax), MATLAB, R
Diffeqoperators.jl
⭐
279
Linear operators for discretizations of differential equations and scientific machine learning (SciML)
Diffeqgpu.jl
⭐
261
GPU-acceleration routines for DifferentialEquations.jl and the broader SciML scientific machine learning ecosystem
Componentarrays.jl
⭐
258
Arrays with arbitrarily nested named components.
Diffeqdocs.jl
⭐
251
Documentation for the DiffEq differential equations and scientific machine learning (SciML) ecosystem
Stochasticdiffeq.jl
⭐
229
Solvers for stochastic differential equations which connect with the scientific machine learning (SciML) ecosystem
Linearsolve.jl
⭐
211
LinearSolve.jl: High-Performance Unified Interface for Linear Solvers in Julia. Easily switch between factorization and Krylov methods, add preconditioners, and all in one interface.
Neuraloperators.jl
⭐
206
DeepONets, (Fourier) Neural Operators, Physics-Informed Neural Operators, and more in Julia
Sundials.jl
⭐
200
Julia interface to Sundials, including a nonlinear solver (KINSOL), ODE's (CVODE and ARKODE), and DAE's (IDA) in a SciML scientific machine learning enabled manner
Reservoircomputing.jl
⭐
192
Reservoir computing utilities for scientific machine learning (SciML)
Integrals.jl
⭐
191
A common interface for quadrature and numerical integration for the SciML scientific machine learning organization
Recursivearraytools.jl
⭐
190
Tools for easily handling objects like arrays of arrays and deeper nestings in scientific machine learning (SciML) and other applications
Universal_differential_equations
⭐
187
Repository for the Universal Differential Equations for Scientific Machine Learning paper, describing a computational basis for high performance SciML
Scimlstyle
⭐
160
A style guide for stylish Julia developers
Nonlinearsolve.jl
⭐
154
High-performance and differentiation-enabled nonlinear solvers (Newton methods), bracketed rootfinding (bisection, Falsi), with sparsity and Newton-Krylov support.
Arrayinterface.jl
⭐
130
Designs for new Base array interface primitives, used widely through scientific machine learning (SciML) and other organizations
Diffeqr
⭐
127
Solving differential equations in R using DifferentialEquations.jl and the SciML Scientific Machine Learning ecosystem
Jumpprocesses.jl
⭐
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)
Nbodysimulator.jl
⭐
122
A differentiable simulator for scientific machine learning (SciML) with N-body problems, including astrophysical and molecular dynamics
Diffeqbayes.jl
⭐
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
Labelledarrays.jl
⭐
114
Arrays which also have a label for each element for easy scientific machine learning (SciML)
Polychaos.jl
⭐
112
A Julia package to construct orthogonal polynomials, their quadrature rules, and use it with polynomial chaos expansions.
Scimlbase.jl
⭐
111
The Base interface of the SciML ecosystem
Symbolicnumericintegration.jl
⭐
111
SymbolicNumericIntegration.jl: Symbolic-Numerics for Solving Integrals
Kinetic.jl
⭐
110
Universal modeling and simulation of fluid mechanics upon machine learning. From the Boltzmann equation, heading towards multiscale and multiphysics flows.
Ode.jl
⭐
106
Assorted basic Ordinary Differential Equation solvers for scientific machine learning (SciML). Deprecated: Use DifferentialEquations.jl instead.
Quasimontecarlo.jl
⭐
95
Lightweight and easy generation of quasi-Monte Carlo sequences with a ton of different methods on one API for easy parameter exploration in scientific machine learning (SciML)
Fenics.jl
⭐
86
A scientific machine learning (SciML) wrapper for the FEniCS Finite Element library in the Julia programming language
Exponentialutilities.jl
⭐
85
Fast and differentiable implementations of matrix exponentials, Krylov exponential matrix-vector multiplications ("expmv"), KIOPS, ExpoKit functions, and more. All your exponential needs in SciML form.
Diffeqcallbacks.jl
⭐
77
A library of useful callbacks for hybrid scientific machine learning (SciML) with augmented differential equation solvers
Autooptimize.jl
⭐
75
Automatic optimization and parallelization for Scientific Machine Learning (SciML)
Parameterizedfunctions.jl
⭐
75
A simple domain-specific language (DSL) for defining differential equations for use in scientific machine learning (SciML) and other applications
Fractionaldiffeq.jl
⭐
70
Solve Fractional Differential Equations using high performance numerical methods
Multiscalearrays.jl
⭐
69
A framework for developing multi-scale arrays for use in scientific machine learning (SciML) simulations
Scimlexpectations.jl
⭐
61
Fast uncertainty quantification for scientific machine learning (SciML) and differential equations
Highdimpde.jl
⭐
61
A Julia package for Deep Backwards Stochastic Differential Equation (Deep BSDE) and Feynman-Kac methods to solve high-dimensional PDEs without the curse of dimensionality
Diffeqnoiseprocess.jl
⭐
61
A library of noise processes for stochastic systems like stochastic differential equations (SDEs) and other systems that are present in scientific machine learning (SciML)
Simplenonlinearsolve.jl
⭐
57
Fast and simple nonlinear solvers for the SciML common interface. Newton, Broyden, Bisection, Falsi, and more rootfinders on a standard interface.
Delaydiffeq.jl
⭐
53
Delay differential equation (DDE) solvers in Julia for the SciML scientific machine learning ecosystem. Covers neutral and retarded delay differential equations, and differential-algebraic equations.
Cellmltoolkit.jl
⭐
53
CellMLToolkit.jl is a Julia library that connects CellML models to the Scientific Julia ecosystem.
Sparsitydetection.jl
⭐
53
Automatic detection of sparsity in pure Julia functions for sparsity-enabled scientific machine learning (SciML)
Diffeqproblemlibrary.jl
⭐
51
A library of premade problems for examples and testing differential equation solvers and other SciML scientific machine learning tools
Odinn.jl
⭐
49
Global glacier model using Universal Differential Equations for climate-glacier interactions
Fmiflux.jl
⭐
49
FMIFlux.jl is a free-to-use software library for the Julia programming language, which offers the ability to place FMUs (fmi-standard.org) everywhere inside of your ML topologies and still keep the resulting model trainable with a standard (or custom) FluxML training process.
Sciml.ai
⭐
48
The SciML Scientific Machine Learning Software Organization Website
Diffeqphysics.jl
⭐
47
A library for building differential equations arising from physical problems for physics-informed and scientific machine learning (SciML)
Diffeqdevtools.jl
⭐
46
Benchmarking, testing, and development tools for differential equations and scientific machine learning (SciML)
Muladdmacro.jl
⭐
45
This package contains a macro for converting expressions to use muladd calls and fused-multiply-add (FMA) operations for high-performance in the SciML scientific machine learning ecosystem
Scimloperators.jl
⭐
41
SciMLOperators.jl: Matrix-Free Operators for the SciML Scientific Machine Learning Common Interface in Julia
Globalsensitivity.jl
⭐
41
Robust, Fast, and Parallel Global Sensitivity Analysis (GSA) in Julia
Boundaryvaluediffeq.jl
⭐
39
Boundary value problem (BVP) solvers for scientific machine learning (SciML)
Helicoptersciml.jl
⭐
37
Helicopter Scientific Machine Learning (SciML) Challenge Problem
Rootedtrees.jl
⭐
36
A collection of functionality around rooted trees to generate order conditions for Runge-Kutta methods in Julia for differential equations and scientific machine learning (SciML)
Scimlworkshop.jl
⭐
34
Workshop materials for training in scientific computing and scientific machine learning
Latentdiffeq.jl
⭐
33
Latent Differential Equations models in Julia.
Dassl.jl
⭐
31
Solves stiff differential algebraic equations (DAE) using variable stepsize backwards finite difference formula (BDF) in the SciML scientific machine learning organization
Modelorderreduction.jl
⭐
30
High-level model-order reduction to automate the acceleration of large-scale simulations
Autooffload.jl
⭐
29
Automatic GPU, TPU, FPGA, Xeon Phi, Multithreaded, Distributed, etc. offloading for scientific machine learning (SciML) and differential equations
Diffeqonline
⭐
26
It's Angular2 business in the front, and a Julia party in the back! It's scientific machine learning (SciML) for the web
Steadystatediffeq.jl
⭐
25
Solvers for steady states in scientific machine learning (SciML)
Diffeqfinancial.jl
⭐
23
Differential equation problem specifications and scientific machine learning for common financial models
Stochasticdelaydiffeq.jl
⭐
22
Stochastic delay differential equations (SDDE) solvers for the SciML scientific machine learning ecosystem
Plasma.jl
⭐
21
An interface for accelerated simulation of high-dimensional collisionless and electrostatic plasmas.
Matlabdiffeq.jl
⭐
21
Common interface bindings for the MATLAB ODE solvers via MATLAB.jl for the SciML Scientific Machine Learning ecosystem
Simplediffeq.jl
⭐
21
Simple differential equation solvers in native Julia for scientific machine learning (SciML)
Scipydiffeq.jl
⭐
20
Wrappers for the SciPy differential equation solvers for the SciML Scientific Machine Learning organization
Scimltutorialsoutput
⭐
18
Tutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.
Mathepideeplearning
⭐
15
Awesome-spatial-temporal-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. Keep updating.
Poissonrandom.jl
⭐
15
Fast Poisson Random Numbers in pure Julia for scientific machine learning (SciML)
Reactivedynamics.jl
⭐
14
A Julia package that implements a category of reaction (transportation) network-type dynamical systems.
Tensorflowdiffeq.jl
⭐
14
Using TensorFlow for physics-informed neural networks for scientific machine learning (SciML)
Commonsolve.jl
⭐
14
A common solve function for scientific machine learning (SciML) and beyond
Scimlbenchmarksoutput
⭐
13
SciML-Bench Benchmarks for Scientific Machine Learning (SciML), Physics-Informed Machine Learning (PIML), and Scientific AI Performance
Dimensionalplotrecipes.jl
⭐
12
High dimensional numbers and reductions recipes for data visualization of scientific machine learning (SciML)
Daskr.jl
⭐
12
Interface to DASKR, a differential algebraic system solver for the SciML scientific machine learning ecosystem
Nmfk.jl
⭐
11
Nonnegative Matrix Factorization + k-means clustering and physics constraints for Unsupervised and Physics-Informed Machine Learning
Desolvediffeq.jl
⭐
9
Wrappers for calling the R deSolve differential equation solvers from Julia for scientific machine learning (SciML)
Geometricintegratorsdiffeq.jl
⭐
9
Wrappers for GeometricIntegrators.jl into the SciML common interface for scientific machine learning (SciML)
Odeinterfacediffeq.jl
⭐
9
Adds the common API onto ODEInterface classic Fortran methods for the SciML Scientific Machine Learning organization
Diffeqdevdocs.jl
⭐
8
Developer documentation for the SciML scientific machine learning ecosystem's differential equation solvers
Symbolicindexinginterface.jl
⭐
8
A general interface for symbolic indexing of SciML objects used in conjunction with Domain-Specific Languages
Resettablestacks.jl
⭐
7
A stack implementation with a reset! function which avoids garbage collection for scientific machine learning (SciML)
Smarttensorstutorials.jl
⭐
6
Smart Tensors Tutorials
Bridgediffeq.jl
⭐
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)
Related Searches
Jupyter Notebook Julia (606)
Python Julia (395)
Julia Optimization (348)
Algorithms Julia (327)
Julia Repl (300)
Types Julia (282)
Machine Learning Julia (258)
Julia Matrix (238)
Julia Julialang (232)
Julia Vector (203)
1-97 of 97 search results
Privacy
|
About
|
Terms
|
Follow Us On Twitter
Copyright 2018-2024 Awesome Open Source. All rights reserved.