Pinned Repositories
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
frankschae.github.io
webpage and blog
Vector-field-divergence-of-predictive-model-output-as-indication-of-phase-transitions
frankschae's Repositories
frankschae/A-differentiable-programming-method-for-quantum-control
frankschae/Control-of-Stochastic-Quantum-Dynamics-with-Differentiable-Programming
Repository for the Control of Stochastic Quantum Dynamics with Differentiable Programming paper.
frankschae/frankschae.github.io
webpage and blog
frankschae/AbstractDifferentiation.jl
An abstract interface for automatic differentiation.
frankschae/academic-kickstart
📝 Easily create a beautiful website using Academic, Hugo, and Netlify
frankschae/ChainRules.jl
forward and reverse mode automatic differentiation primitives for Julia Base + StdLibs
frankschae/DiffEqBase.jl
The lightweight Base library for shared types and functionality.
frankschae/DiffEqCallbacks.jl
A library of useful callbacks for hybrid scientific machine learning (SciML) with augmented differential equation solvers
frankschae/DiffEqDevTools.jl
Benchmarking, testing, and development tools for differential equations
frankschae/DiffEqDocs.jl
Documentation for the DiffEq ecosystem
frankschae/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
frankschae/DiffEqGPU.jl
GPU-acceleration routines for DifferentialEquations.jl
frankschae/DiffEqNoiseProcess.jl
A library of noise processes for stochastic systems
frankschae/DiffEqProblemLibrary.jl
A library of premade problems for examples and testing
frankschae/DiffEqSensitivity-Review
A Review of Sensitivity Methods for Differential Equations
frankschae/DiffEqSensitivity.jl
A component of the DiffEq ecosystem for sensitivity analysis
frankschae/DigiWell
Third DigiWell Julia Seminar with AMOC, Nov. 2 2023
frankschae/FiniteDiff.jl
Fast non-allocating calculations of gradients, Jacobians, and Hessians with sparsity support
frankschae/klujax
Solve sparse linear systems in JAX using the KLU algorithm
frankschae/matrixcalc
MIT IAP short course: Matrix Calculus for Machine Learning and Beyond
frankschae/Mitosis.jl
Automatic probabilistic programming for scientific machine learning and dynamical models
frankschae/ml-engineering
Machine Learning Engineering Open Book
frankschae/ModelingToolkit.jl
A modeling framework for automatically parallelized scientific computing in Julia
frankschae/NonlinearSolve.jl
High-performance and differentiation-enabled nonlinear solvers
frankschae/PreallocationTools.jl
Speed at all costs
frankschae/RecursiveArrayTools.jl
Tools for easily handling objects like arrays of arrays and deeper nestings in scientific machine learning (SciML) and other applications
frankschae/SciMLBase.jl
The Base interface of the SciML ecosystem
frankschae/SciMLTutorialsOutput
Tutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.
frankschae/StochasticDiffEq.jl
DiffEq solvers for stochastic differential equations
frankschae/www.julialang.org
Julia Project website