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Course 18.S191 at MIT, Fall 2022 - Introduction to computational thinking with Julia
Bayesian inference with probabilistic programming.
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
Award winning software library for nonlinear dynamics and nonlinear timeseries analysis
Grid-based approximation of partial differential equations in Julia
A framework for applied category theory in the Julia language
Distributed High-Performance Symbolic Regression in Julia
Julia package for function approximation
High performance ordinary differential equation (ODE) and differential-algebraic equation (DAE) solvers, including neural ordinary differential equations (neural ODEs) and scientific machine learni…
Compiles Julia code to a standalone library (experimental)
Elegant & Performant Scientific Machine Learning in Julia
Algorithms implemented in the Julia programming language. We're collaborating with the Humans of Julia community!
A Julia package for fitting (statistical) mixed-effects models
Data driven modeling and automated discovery of dynamical systems for the SciML Scientific Machine Learning organization
💨 A breath of fresh air for programming web apps in Julia
"Distributions" that might not add to one.
Evolutionary & genetic algorithms for Julia
Modeling and simulation of multidomain engineering systems
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…
Library for validated numerics using interval arithmetic
Julia for optimization simulation and modeling of PowerSystems. Part of the Scalable Integrated Infrastructure Planning Initiative at the National Renewable Energy Lab.
GenX: a configurable power system capacity expansion model for studying low-carbon energy futures. More details at : https://genx.mit.edu
Types and utility functions for summarizing Markov chain Monte Carlo simulations
🚀 Julia package for orthogonal polynomial transforms 🏂
