Package |
Location |
Description |
JLD |
https://github.com/JuliaLang/JLD.jl |
Julia data file format package |
StatsBase |
https://github.com/JuliaStats/StatsBase.jl |
Statistics functions – general |
HypothesisTests |
https://github.com/JuliaStats/HypothesisTests.jl |
Statistics functions – hypothesis testing |
PyPlot |
https://github.com/stevengj/PyPlot.jl |
Plotting package from Python |
Gadfly |
https://github.com/dcjones/Gadfly.jl |
One of the best plotting packages out there |
Clustering |
https://github.com/JuliaStats/Clustering.jl |
Clustering techniques |
DecisionTree |
https://github.com/bensadeghi/DecisionTree.jl |
Decision trees and random forests |
BackpropNeuralNet |
https://github.com/compressed/BackpropNeuralNet.jl |
Basic neural network trained using the algo of backpropagation |
Graphs |
https://github.com/JuliaLang/Graphs.jl |
Complete graphs package |
LightGraphs |
https://github.com/JuliaGraphs/LightGraphs.jl |
Relatively fast graph algorithms |
PyCall |
https://github.com/stevengj/PyCall.jl |
Calling Python scripts from Julia |
RCall |
https://github.com/armgong/RJulia |
Calling R scripts from Julia |
DataFrames |
https://github.com/JuliaStats/DataFrames.jl |
Great package for integrating data frames in Julia |
ELM |
https://github.com/lepisma/ELM.jl |
The go-to place for Extreme Learning Machines |
Distances |
https://github.com/JuliaStats/Distances.jl |
Useful package for various distance related functions |
GLM |
https://github.com/JuliaStats/GLM.jl |
Generalized Linear Model package |
TSNE |
http://lvdmaaten.github.io/tsne |
An official package to implement the t-SNE algorithm |
MultivariateStats |
https://github.com/JuliaStats/MultivariateStats.jl |
A great place to get PCA and other useful statistics functions |
MLBase |
https://github.com/JuliaStats/MLBase.jl |
An excellent resource for various support functions for ML applications |