Geostatistical functions for the GeoStats.jl framework

An implementation of the TOBS algorithm as a heuristic for binary nonlinear programming

Geostatistical Inversion

Julia cluster manager for Azure scale sets. Part of the COFII framework.

Geostatistical learning solvers for the GeoStats.jl framework

Tools to pick data in an interactive manner

Common methods for quantum control packages

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Neural Networks deals with hardware implementations and simulation in mind

Switched-On Bayes.

Abstract package for Genie caching

Implement the Kasahara-Shimotsu Test to decide number of components in Gaussian Mixture Model.

Models of gas-phase atmospheric chemistry and related processes

Modules to analyse ocean model output or observational data that are saved as Raster data structures.

Unit conversion utility for the cosmological Tree-SPH code Gadget

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FoundationDB client in Julia

Forked successor of https://github.com/JuliaFolds/FoldsThreads.jl

A comprehensive QTL analysis tool by multivariate linear mixed model.

Julia package to determine effective number of uncorrelated data points in a correlated data stream via an O(log N) online binning algorithm.

Load useful metadata from FlowJo workspace files such as gating strategies and sample groups

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Tools for Visualization of Quantum Annealing

Package allowing tensor calculations in arbitrary coordinate systems.

A Julia package containing GNC algorithms for autonomous aerospace systems

Fjage in Julia

FishTank.jl creates an e-fish for you in case you feel lonely when you are coding.

God said Maxwell equations and then there was light

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Deep and convolutional neural networks with feedback operations in Flux.

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F-1 method

Continuous testing while developing functions

High Level API Finite Element Methods based on ExtendableGrids and ExtendableFEMBase

Manifolds for the natural parameters of members of the exponential family of distributions

A Julia package to help researchers save the results of their experiments in a database in a scaleable way.

Code generation for Euler-Lagrange equations.

Julia-language port of the Sequencer algorithm, originally developed in python (https://github.com/dalya/Sequencer). The Sequencer finds trends in 1-dimensional data sets and has been used by its original authors for data analysis in astrophysics, seismology, image processing, etc. Contributions are welcome!

The Number Line is a common teaching tool for Math classes (K-12)