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Top Pkgs Packages

1

Knet

Koç University deep learning framework.

2

TensorFlow

A Julia wrapper for TensorFlow

3

ScikitLearn

Julia implementation of the scikit-learn API https://cstjean.github.io/ScikitLearn.jl/dev/

4

MXNet

MXNet Julia Package - flexible and efficient deep learning in Julia

5

Clustering

A Julia package for data clustering

6

DecisionTree

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

7

Merlin

Deep Learning for Julia

8

MLDatasets

Utility package for accessing common Machine Learning datasets in Julia

9

MachineLearning

Julia Machine Learning library

10

LossFunctions

Julia package of loss functions for machine learning.

11

GLMNet

Julia wrapper for fitting Lasso/ElasticNet GLM models using glmnet

12

MLKernels

Machine learning kernels in Julia.

13

NMF

A Julia package for non-negative matrix factorization

14

LIBSVM

LIBSVM bindings for Julia

15

BackpropNeuralNet

A neural network in Julia

16

PrivateMultiplicativeWeights

Differentially private synthetic data

17

Orchestra

Heterogeneous ensemble learning for Julia.

18

MLLabelUtils

Utility package for working with classification targets and label-encodings

19

BayesianNonparametrics

BayesianNonparametrics in julia

20

ParticleFilters

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

21

LearningStrategies

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

22

TSVD

Truncated singular value decomposition with partial reorthogonalization

23

KDTrees

KDTrees for julia

24

GradientBoost

Gradient boosting framework for Julia.

25

kNN

The k-nearest neighbors algorithm in Julia

26

ValueHistories

Utilities to efficiently track learning curves or other optimization information

27

RegERMs

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

28

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

29

LearnBase

Abstractions for Julia Machine Learning Packages

30

Discretizers

A Julia package for data discretization and label maps