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Course 18.S191 at MIT, Fall 2022 - Introduction to computational thinking with Julia
Concise and beautiful algorithms written in Julia
Automatically update function definitions in a running Julia session
Forward Mode Automatic Differentiation for Julia
An optimized graphs package for the Julia programming language
Julia implementation of QuantEcon routines
forward and reverse mode automatic differentiation primitives for Julia Base + StdLibs
A comprehensive open source computer algebra system for computations in algebra, geometry, and number theory.
Filter design, periodograms, window functions, and other digital signal processing functionality
Reverse Mode Automatic Differentiation for Julia
Taylor polynomial expansions in one and several independent variables.
Documentation for the DiffEq differential equations and scientific machine learning (SciML) ecosystem
High accuracy derivatives, estimated via numerical finite differences (formerly FDM.jl)
Fast non-allocating calculations of gradients, Jacobians, and Hessians with sparsity support
AD-backend agnostic system defining custom forward and reverse mode rules. This is the light weight core to allow you to define rules for your functions in your packages, without depending on any p…
Nonlinear Dynamics: A concise introduction interlaced with code
Fast jacobian computation through sparsity exploitation and matrix coloring
Abstract julia interfaces for working with trees
Tools for building fast, hackable, pseudospectral partial differential equation solvers on periodic domains
A Julia package for fast discrete wavelet transforms and utilities
Algorithms for quantifying associations, independence testing and causal inference from data.
An abstract interface for automatic differentiation.
Prediction of timeseries using methods of nonlinear dynamics and timeseries analysis
Julia interface to the GNU Scientific Library (GSL)
SparseArrays.jl is a Julia stdlib for working with sparse matrices