Code for our AISTATS '22 paper "Sampling in Dirichlet Process Mixture Models for Clustering Streaming Data"

Plotting functionality for Agents.jl - Agent-Based Modelling in Julia

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A Julia package to provide common tools (Unit coversions, constants, etc) for packages in the EHT Julia Organization

A Julia package to handle high dimensional astronomy image data sets for radio interferometry

Julia package for CT images reconstruction and analysis

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Repository for simple models of ecophysiological processes

Computes Cross Correlation Functions (CCFs) with RvSpectML

Graphical/statistical plotting GUI package for quick data visualisation and exploration.

Basic functionality for EarthSciML system

Julia package to send REST API requests to Google Earth Engine

Set of CUDA accelerated medical segmentation metrics.

A Dynamic Optimization extension to MathOptInterface.jl

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The Dynamic Agroforestry Coffee Crop Model in Julia

2d/3d rigid body dynamics solver

A Julia package for the calculation of Mie scattering based on a 1:1 port of miepython

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Automatically mirror Julia package repositories

Convenient line plots of time series data identified by string keys (using GLMakie)

Extension of Distributions.jl allows specifying distributions by aggregate statistics #1296

Test images for evaluating MPI simulation frameworks.

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Support for spaces with singularities in ApproxFun

Extensions for AlgebraOfGraphics.jl

Julia Implementation of Anytime Weighted A* (AWA*) and Randomized Weighted A* (RWA*) algorithm

Antenna data import and processing.

Solving a partitioning problem exactly

Scattering and inverse scattering for the AKNS system

A Julia package for the ACT-R cognitive architecture

NetCDF support for climate model output and domain decompositions

Simulate phenotypes from any GLM model

Combines CoherentNoise.jl and ImageTransformations.jl to produce interesting image results.

Julia package for engineering magnetic coils

Optimization for the Mimi.jl modeling framework

Bayesian inference for Discrete state-space Partially Observed Markov Processes in Julia. See the docs:

A package for Hidden Markov Models with exogenous control variables.

Julia package to download and analyse ECMWF reanalysis data, with some calculations for other variables thrown in.

Batch what Nvidia does not