The Julia Programming Language

Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equat…

Bayesian inference with probabilistic programming.

Optimization functions for Julia

A Julia package for probability distributions and associated functions.

⚡ Single-pass algorithms for statistics

A benchmarking framework for the Julia language

Generalized linear models in Julia

A Julia package for fitting (statistical) mixed-effects models

A Julia package for multivariate statistics and data analysis (e.g. dimension reduction)

Julia package for text analysis

JSON parsing and printing

Hypothesis tests for Julia

Deep neural network using rectified linear units to classify hand written symbols from the MNIST dataset.

Distributed Arrays in Julia

Assorted basic Ordinary Differential Equation solvers for scientific machine learning (SciML). Deprecated: Use DifferentialEquations.jl instead.