Anas Abdelrehim (AnasAbdelR)

AnasAbdelR

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Company:@JuliaComputing

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Anas Abdelrehim's repositories

Stiff-net.jl

In progress implementation of using stiff solvers as a means for NNs to update it's weights and learn stiff dynamics

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DataDrivenDiffEq.jl

Data driven modeling and automated discovery of dynamical systems for the SciML Scientific Machine Learning organization

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DeepEquilibriumNetworks.jl

Implicit Layer Machine Learning via Deep Equilibrium Networks, O(1) backpropagation with accelerated convergence.

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DelayDiffEq.jl

Delay differential equation solvers for the SciML scientific machine learning ecosystem

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EasyModelAnalysis.jl

High level functions for analyzing the output of simulations

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Flux.jl

Relax! Flux is the ML library that doesn't make you tensor

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Julia-test

testmepls

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mfncheck

Implementation of papers in 100 lines of code.

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MLFlowClient.jl

Julia client for MLFlow.

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ModelingToolkit.jl

A 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

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NeuralOperators.jl

learning the solution operator for partial differential equations in pure Julia.

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ODEInterfaceDiffEq.jl

Adds the common API onto ODEInterface classic Fortran methods for the SciML Scientific Machine Learning organization

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OrdinaryDiffEq.jl

High performance differential equation solvers for ordinary differential equations, including neural ordinary differential equations (neural ODEs) and scientific machine learning (SciML)

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QuasiMonteCarlo.jl

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)

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ReservoirComputing.jl

Reservoir computing utilities for scientific machine learning (SciML)

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sciml.ai

The SciML Scientific Machine Learning Software Organization Website

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StochasticDiffEq.jl

Solvers for stochastic differential equations which connect with the scientific machine learning (SciML) ecosystem

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Sundials.jl

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

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TA3_Evaluation_Resources

Some materials for the TA3 2nd Hackathon

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