Fast, scalable and flexible Outlier Detection with Julia

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

Abstract types and interfaces for Markov chain Monte Carlo methods

Simulated Method of Moments for Julia

Implementations of the TableTraits.jl interface for various packages

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!

IO for Meshes

Implementation of variational Bayes inference algorithms

Flexible and performant GEMM kernels in Julia

Interactive plotting made easy

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

Imputation methods for missing data in julia

Fast Fourier transforms of MPI-distributed Julia arrays

A julia package for representing and manipulating model semantics

Solid state detector field and charge drift simulation in Julia

Simple least squares and curve fitting functions

🧬High-performance genetics- and genomics-related data visualization using Makie.jl

Compiled parser combinators and regular expressions in pure julia

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

A simple hypergraphs package for the Julia programming language

Julia package for formulating and analyzing stochastic recourse models.

Flexible filtering and smoothing in Julia

Preheat your MCMC

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

WIP successor to Soss.jl

JuliaCon. Everywhere.

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

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

Plotting for Julia based on matplotlib.pyplot

An Extensible Test Matrix Collection for Julia

Create truth tables in Julia!

Modeling and Simulation of 3D systems

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 ⚡

Survival analysis in Julia

Monte Carlo Tree Search for Markov decision processes using the POMDPs.jl framework

Build Petri net models compositionally

A Julia package for representing infinite-dimensional arrays

Simulation, visualization, and inference of individual level infectious disease models with Julia