Julia implementation of unsupervised learning methods for time series datasets. It provides functionality for clustering and aggregating, detecting motifs, and quantifying similarity between time series datasets.

Draw Julia syntax trees as a graph

Julia implementation of unsupervised learning methods for time series datasets. It provides functionality for clustering and aggregating, detecting motifs, and quantifying similarity between time series datasets.

Parsing .shp files in Julia

A Julia interface for the SCS conic programming solver

Julia package to facilitate writing mulithreaded, multidimensional, cache-efficient code

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

A Julian abstract interface for atomic structures.

A type based approach to working with filesystem paths in julia

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

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

Spin dynamics and generalization to SU(N) coherent states

Solve Fractional Differential Equations using high performance numerical 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!

Innovative, efficient, and computational-graph-based finite element simulator for inverse modeling

Abstract types and interfaces for Markov chain Monte Carlo methods

Fast, scalable and flexible Outlier Detection with Julia

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

IO for Meshes

High level functions for analyzing the output of simulations

Implementation of variational Bayes inference algorithms

Flexible and performant GEMM kernels in Julia

Solid state detector field and charge drift simulation in Julia

Fast Fourier transforms of MPI-distributed Julia arrays

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

A julia package for representing and manipulating model semantics

Imputation methods for missing data in julia

Simple least squares and curve fitting functions

Compiled parser combinators and regular expressions in pure julia

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

This library generates graph layouts using the TikZ graph layout package.

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

Create WebAssembly with Julia

Preheat your MCMC

JuliaCon. Everywhere.

Flexible filtering and smoothing in Julia

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WIP successor to Soss.jl