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

Convenience meta-package to load essential packages for statistics

A fast image augmentation library in Julia for machine learning.

Quantlib implementation in pure Julia

ConstraintSolver in Julia: Blog posts ->

Fermi quantum chemistry program

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

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

Interactive display of images and movies

Journal-style regression tables

A Julia interface to the CPLEX solver

System Identification toolbox, compatible with ControlSystems.jl

A solver for mixed-integer convex optimization

The Base interface of the SciML ecosystem

Proximal algorithms for nonsmooth optimization in Julia

Beautiful and flexible vizualizations of high dimensional data

Proximal operators for nonsmooth optimization in Julia

Uniform Manifold Approximation and Projection (UMAP) implementation in Julia

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

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

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

Technical analysis of financial time series in Julia

Library for finding the roots of a function using interval arithmetic

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

For working with dimensions of arrays by name

Julia package for simulating Dynamics on Networks

Algorithms and data structures for game theory in Julia

Complex neural network examples for Flux.jl

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

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

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

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.

Flexible tables with ordered indices

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

Julia interface to gnuplot

A flexible neural net training library inspired by fast.ai

A Julia package for the creation, manipulation and analysis of the structure, dynamics and functions of multilayer graphs.