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Top Pkgs Packages

1

Mocha

Deep Learning framework for Julia

2

Knet

Koç University deep learning framework.

3

Flux

Relax! Flux is the ML library that doesn't make you tensor

4

TensorFlow

A Julia wrapper for TensorFlow

5

MXNet

MXNet Julia Package - flexible and efficient deep learning in Julia

6

ScikitLearn

Julia implementation of the scikit-learn API

7

Merlin

Deep Learning for Julia

8

DecisionTree

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

9

Clustering

A Julia package for data clustering

10

MachineLearning

Julia Machine Learning library

11

LossFunctions

Julia package of loss functions for machine learning.

12

GLMNet

Julia wrapper for fitting Lasso/ElasticNet GLM models using glmnet

13

MLDatasets

Utility package for accessing common Machine Learning datasets in Julia

14

MLKernels

Machine learning kernels in Julia.

15

NMF

A Julia package for non-negative matrix factorization

16

BackpropNeuralNet

A neural network in Julia

17

Orchestra

Heterogeneous ensemble learning for Julia.

18

LIBSVM

LIBSVM bindings for Julia

19

PrivateMultiplicativeWeights

Differentially private synthetic data

20

LearningStrategies

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

21

kNN

The k-nearest neighbors algorithm in Julia

22

KDTrees

KDTrees for julia

23

MLLabelUtils

Utility package for working with classification targets and label-encodings

24

BayesianNonparametrics

BayesianNonparametrics in julia

25

RegERMs

Regularised Empirical Risk Minimisation Framework (SVMs, LogReg, Linear Regression) in Julia

26

LearnBase

Abstractions for Julia Machine Learning Packages

27

SALSA

Software Lab for Advanced Machine Learning with Stochastic Algorithms in Julia

28

GradientBoost

Gradient boosting framework for Julia.

29

ProjectiveDictionaryPairLearning

Julia code for the paper S. Gu, L. Zhang, W. Zuo, and X. Feng, “Projective Dictionary Pair Learning for Pattern Classification,” In NIPS 2014

30

HopfieldNets

Hopfield networks in Julia