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a-differentiable-programming-method-for-quantum-control

abstractdifferentiation.jl

An abstract interface for automatic differentiation.

academic-kickstart

📝 Easily create a beautiful website using Academic, Hugo, and Netlify

chainrules.jl

forward and reverse mode automatic differentiation primitives for Julia Base + StdLibs

control-of-stochastic-quantum-dynamics-with-differentiable-programming

Repository for the Control of Stochastic Quantum Dynamics with Differentiable Programming paper.

diffeqbase.jl

The lightweight Base library for shared types and functionality.

diffeqcallbacks.jl

A library of useful callbacks for hybrid scientific machine learning (SciML) with augmented differential equation solvers

diffeqdevtools.jl

Benchmarking, testing, and development tools for differential equations

diffeqdocs.jl

Documentation for the DiffEq ecosystem

diffeqflux.jl

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

diffeqgpu.jl

GPU-acceleration routines for DifferentialEquations.jl

diffeqnoiseprocess.jl

A library of noise processes for stochastic systems

diffeqproblemlibrary.jl

A library of premade problems for examples and testing

diffeqsensitivity-review

A Review of Sensitivity Methods for Differential Equations

diffeqsensitivity.jl

A component of the DiffEq ecosystem for sensitivity analysis

digiwell

Third DigiWell Julia Seminar with AMOC, Nov. 2 2023

finitediff.jl

Fast non-allocating calculations of gradients, Jacobians, and Hessians with sparsity support

frankschae.github.io

webpage and blog

julia

The Julia Language: A fresh approach to technical computing.

matrixcalc

MIT IAP short course: Matrix Calculus for Machine Learning and Beyond

mitosis.jl

Automatic probabilistic programming for scientific machine learning and dynamical models

ml-engineering

Machine Learning Engineering Open Book

modelingtoolkit.jl

A modeling framework for automatically parallelized scientific computing in Julia

nonlinearsolve.jl

High-performance and differentiation-enabled nonlinear solvers

ordinarydiffeq.jl

DiffEq solvers for ordinary differential equations

preallocationtools.jl

Speed at all costs

recursivearraytools.jl

Tools for easily handling objects like arrays of arrays and deeper nestings in scientific machine learning (SciML) and other applications

scimlbase.jl

The Base interface of the SciML ecosystem

scimltutorialsoutput

Tutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.

stochasticdiffeq.jl

DiffEq solvers for stochastic differential equations