Generalized Linear Regressions Models (penalized regressions, robust regressions, ...)

Implements Optimization and approximate uncertainty quantification algorithms, Ensemble Kalman Inversion, and Ensemble Kalman Processes.

Solve Fractional Differential Equations using high performance numerical methods

Home of the MLJ model registry and tools for model queries and mode code loading

A Julia package to solve, simulate, and analyze nonlinear DSGE models.

High level functions for analyzing the output of simulations

Simulated Method of Moments for Julia

ClimaAtmos.jl is a library for building atmospheric circulation models that is designed from the outset to leverage data assimilation and machine learning tools. We welcome contributions!

Fast, scalable and flexible Outlier Detection with Julia

Flexible and performant GEMM kernels in Julia

Implementation of variational Bayes inference algorithms

Solid state detector field and charge drift simulation in Julia

Imputation methods for missing data in julia

Compiled parser combinators and regular expressions in pure julia

Finally fast julia scripts

A simple domain-specific language (DSL) for defining differential equations for use in scientific machine learning (SciML) and other applications

Fast Fourier transforms of MPI-distributed Julia arrays

Simple least squares and curve fitting functions

A julia package for representing and manipulating model semantics

A parallel iterator for large machine learning datasets that don't fit into memory inspired by PyTorch's `DataLoader` class.

Create WebAssembly with Julia

Core types for regularly-sampled multichannel signals like Audio, RADAR and Software-Defined Radio

JuliaCon. Everywhere.

Flexible filtering and smoothing in Julia

WIP successor to Soss.jl

Preheat your MCMC

Modeling and Simulation of 3D systems

Plotting for Julia based on matplotlib.pyplot

A package for solving Differential Dynamic Programming and trajectory optimization problems.

A Julia package to analyze protein sequences, structures, and evolutionary information

An Extensible Test Matrix Collection for Julia

Find peaks (local extrema) of signals

A framework for developing multi-scale arrays for use in scientific machine learning (SciML) simulations

⚡ Lightning fast density estimation in Julia ⚡

Clique recycling non-Gaussian (multi-modal) factor graph solver; also see Caesar.jl.

Julia toolkit for open quantum system simulation.

Build Petri net models compositionally

Distributed table structures and data manipulation operations built on top of Dagger.jl

The amazing Reaction Mechanism Simulator for simulating large chemical kinetic mechanisms

Julia-powered dashboards, inspired by Material Design