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Top Pkgs Packages

1

Knet

Koç University deep learning framework.

2

TensorFlow

A Julia wrapper for TensorFlow

3

MXNet

MXNet Julia Package - flexible and efficient deep learning in Julia

4

ScikitLearn

Julia implementation of the scikit-learn API

5

DecisionTree

Julia implementation of Decision Tree (CART) and Random Forest algorithms

6

Clustering

A Julia package for data clustering

7

Measurements

Error propagation calculator and library for physical measurements. It supports real and complex numbers with uncertainty, arbitrary precision calculations, operations with arrays, and numerical integration.

8

Merlin

Deep Learning for Julia

9

NLsolve

Julia solvers for systems of nonlinear equations and mixed complementarity problems

10

SymPy

Julia interface to SymPy via PyCall

11

MachineLearning

Julia Machine Learning library

12

Devectorize

A Julia framework for delayed expression evaluation

13

TSne

Julia port of L.J.P. van der Maaten and G.E. Hintons T-SNE visualisation technique.

14

MLDatasets

Utility package for accessing common Machine Learning datasets in Julia

15

LossFunctions

Julia package of loss functions for machine learning.

16

MLKernels

Machine learning kernels in Julia.

17

Hecke

Computational algebraic number theory

18

GLMNet

Julia wrapper for fitting Lasso/ElasticNet GLM models using glmnet

19

GSL

Julia interface to the GNU Scientific Library (GSL)

20

NMF

A Julia package for non-negative matrix factorization

21

BackpropNeuralNet

A neural network in Julia

22

Orchestra

Heterogeneous ensemble learning for Julia.

23

LIBSVM

LIBSVM bindings for Julia

24

PrivateMultiplicativeWeights

Differentially private synthetic data

25

Unums

Unum arithmetic in Julia

26

TwoBasedIndexing

Two-based indexing

27

BayesianNonparametrics

BayesianNonparametrics in julia

28

MLLabelUtils

Utility package for working with classification targets and label-encodings

29

ParticleFilters

Simple particle filter implementation in Julia - works with POMDPs.jl models or others.

30

LearningStrategies

A generic and modular framework for building custom iterative algorithms in Julia