Convenience meta-package to load essential packages for statistics

ORM layer for Genie.jl, the highly productive Julia web framework

Automatically update the [compat] entries for your Julia package's dependencies

A fast image augmentation library in Julia for machine learning.

ConstraintSolver in Julia: Blog posts ->

Fermi quantum chemistry program

Predictive Uncertainty Quantification through Conformal Prediction for Machine Learning models trained in MLJ.

Interactive display of images and movies

Gaussian Process package based on data augmentation, sparsity and natural gradients

A Julia interface to the CPLEX solver

System Identification toolbox, compatible with ControlSystems.jl

A solver for mixed-integer convex optimization

Proximal algorithms for nonsmooth optimization in Julia

Proximal operators for nonsmooth optimization in Julia

Uniform Manifold Approximation and Projection (UMAP) implementation in Julia

The Base interface of the SciML ecosystem

Algorithms from circuit theory to predict connectivity in heterogeneous landscapes

A differentiable simulator for scientific machine learning (SciML) with N-body problems, including astrophysical and molecular dynamics

Library for finding the roots of a function using interval arithmetic

A Julia package dedicated to simulating quantum many-body systems using Matrix Product States (MPS)

Technical analysis of financial time series in Julia

ODE integration using Taylor's method, and more, in Julia

Improved thread management for background and nonuniform tasks in Julia. Docs at https://tro3.github.io/ThreadPools.jl

Julia package for simulating Dynamics on Networks

Complex neural network examples for Flux.jl

Algorithms and data structures for game theory in Julia

Differentiating convex optimization programs w.r.t. program parameters

Universal modeling and simulation of fluid mechanics upon machine learning. From the Boltzmann equation, heading towards multiscale and multiphysics flows.

Solve non-linear HJB equations.

Extension functionality which uses Stan.jl, DynamicHMC.jl, and Turing.jl to estimate the parameters to differential equations and perform Bayesian probabilistic scientific machine learning

A Julia implementation of basic tools for time series analysis compatible with incomplete data.

Arrays which also have a label for each element for easy scientific machine learning (SciML)

A flexible neural net training library inspired by fast.ai

Probabilistic Numerical Differential Equation solvers via Bayesian filtering and smoothing

Probabilistic Numerical Differential Equation solvers via Bayesian filtering and smoothing

Algebraic Multigrid in Julia

Perceptually Uniform Colour Maps for Julia

A package for Counterfactual Explanations and Algorithmic Recourse in Julia.

Divide and Conquer Linear Algebra

Climate science package for Julia