Making it possible to clear all your caches at once

Base 16/32/64 codecs for TranscodingStreams.jl

Partially ordered sets fully compatible with Graphs.jl

🧄 garlic growth simulation model

Multidimensional iterative proportional fitting in Julia

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A Brainfuck interpreter written in Julia

Mapping a nested Dict to struct in Julia

A set of tutorials for building likelihood based models in ACT-R

A package for simulating multi-player no-limit texas holdem games

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Template for JSO packages

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Julia package for producing jammed configurations of hard-spheres using iterative linear programming.

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A Julia package for Cluster Validity Indices (CVIs).

Representation of spatial deformations

Julia interface for GeneNetwork REST API

Hand translated version of Cleveland's Lowess.c

A selection of functions that are useful in the world of linear algebra

Dispatched tuples

Actors guarding access to mutable variables

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Terminal image encoder / decoder

Quantum many-body computations

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LRMoE implemented in Julia

Gila implements free space, frequency domain, electromagnetic Green functions.

The ultimate collection of preconditioners

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Demonstrate 2D elastic collision in Julia

Julia wrapper for xxHash C library

A json parser , from ODE json files to julia solution code

Sparse matrices in coordinate format for Julia

A Julia package for number theoretic transforms

Em's website

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Hierarchical Matrix in Julia and Matlab

Julia has enough tools to support fitting spiking neural network models to data. Pythons slow speed necessitates calls to external simulators (two language problem) to do network simulation. As much as possible it would be nice to do fast, efficient data fitting of spike trains to network models in one language, lets try to do that here.

Split and recombine your data