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Course 18.S191 at MIT, Fall 2022 - Introduction to computational thinking with Julia
Modeling language for Mathematical Optimization (linear, mixed-integer, conic, semidefinite, nonlinear)
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 a…
Symbolic programming for the next generation of numerical software
Concise and beautiful algorithms written in Julia
Automatically update function definitions in a running Julia session
(yet another) static site generator. Simple, customisable, fast, maths with KaTeX, code evaluation, optional pre-rendering, in Julia.
Extensible, Efficient Quantum Algorithm Design for Humans.
An experimental code analyzer for Julia. No need for additional type annotations.
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 i…
Distributed High-Performance Symbolic Regression in Julia
A framework for out-of-core and parallel execution
An opinionated code formatter for Julia. Plot twist - the opinion is your own.
Convert julia objects to LaTeX equations, arrays or other environments.
Symbolic expressions, rewriting and simplification
Julia package for tensor contractions and related operations
Julia bindings for the Enzyme automatic differentiator
Fast sequential, threaded, and distributed for-loops for Julia—fold for humans™
A Julia package for defining and working with linear maps, also known as linear transformations or linear operators acting on vectors. The only requirement for a LinearMap is that it can act on a v…
A Julia package for large-scale tensor computations, with a hint of category theory
