A Comprehensive Overview of Machine Learning Tools and Libraries

Rich Machine Learning Tools

When training computers to act without explicit programming, a large number of machine‑learning tools are available. Researchers and industry professionals use these tools for applications ranging from speech recognition to cancer detection, many of which can be obtained for free online. This article compiles a ranking (based on May Google search volume) and outlines key distinguishing features such as homepage descriptions, focus areas, and notable academic and industrial uses.

Because researchers may use many libraries simultaneously, write their own, or avoid specific tools, the ranking reflects relative search popularity rather than actual adoption. Ambiguous names like “Caffe” are listed as “Caffe Machine Learning”.

Machine Learning Tools Overview

The tools are divided into two sub‑fields: Deep Learning, which drives image classification and speech recognition and is led by large data companies, and Shallow Learning, which includes classic classification, clustering, and boosting techniques and remains widely used in NLP, brain‑computer interfaces, and information retrieval.

Detailed comparison of machine‑learning packages and libraries

The table also indicates GPU support, a critical feature for accelerating large matrix operations in deep learning, and distributed‑computing capabilities via Hadoop or Spark for shallow‑learning methods.

Additional notes summarize how academia and industry differ in their use of these tools, based on analysis of publications, presentations, and distributed code.

The study shows many tools are currently in use, with no clear winner yet in terms of market share.

Search Rank

Tool

Language

Type

Description

“quote”

Use

GPU acceleration

Distributed computing

100

Theano

Python

Library

umerical computation library for multi-dimensional arrays efficiently

Deep and shallow Learning

CUDA and Open CL

cuDNN    Cutorch

78

Torch 7

Lua

Framework

Scientific computing framework with wide support for machine learning algorithms

Deep and shallow Learning

CUDA and Open CL, cuDNN

Cutorch

64

R

R

Environment/ Language

Functional language and environment for statistics

Shallow Learning

RPUD

HiPLAR

52

LIBSVM

Java and C++

Library

A Library for Support Vector Machines

Support Vector Machines

CUDA

Not Yet

34

scikit-learn

Python

Library

Machine Learning in Python

Shallow Learning

Not Yet

Not Yet

28

Spark

MLLIB

C++, APIs in JAVA, and Python

Library/API

Apache Spark’s scalable machine learning library

Shallow Learning

ScalaCL

Spark and

Hadoop

24

Matlab

Matlab

Environment/ Language

High-level technical computing language and interactive environment for algorithm development, data visualization, data analysis, and numerical analysis

Deep and Shallow Learning

Parallel Computing Toolbox (not-free not-open source)

Distributed Computing

Package (not-free not-open source)

18

Pylearn2

Python

Library

Machine Learning

Deep Learning

CUDA and OpenCL, cuDNN

Not Yet

14

VowPal

Wabbit

C++

Library

Out-of-core learning system

Shallow Learning

CUDA

Not Yet

13

Caffe

C++

Framework

Deep learning framework made with expression, speed, and modularity in mind

Deep Learning

CUDA and OpenCL, cuDNN

Not Yet

11

LIBLINEAR

Java and C++

Library

A Library for Large Linear Classification

Support Vector Machines and Logistic Regression

CUDA

Not Yet

6

Mahout

Java

Environment/ Framework

An environment for building scalable algorithms

Shallow Learning

JCUDA

Spark andHadoop

5

Accord.

NET

.Net

Framework

Machine learning

Deep and Shallow Learning

CUDA.net

Not Yet

5

NLTK

Python

Library

Programs to work with human language data

Text Classification

Skits.cuda

Not Yet

4

Deep

learning4j

Java

Framework

Commercial-grade, open-source, distributed deep-learning library

Deep and shallow Learning

JClubas

Spark andHadoop

4

Weka 3

Java

Library

Collection of machine learning algorithms for data mining tasks

Shallow Learning

Not Yet

Distributed

Weka Spark

4

MLPY

Python

Library

Machine Learning

Shallow Learning

Skits.cuda

Not Yet

3

Pandas

Python

Library

Data analysis and manipulation

Shallow Learning

Skits.cuda

Not Yet

1

H20

Java, Python and R

Environment/ Language

open source predictive analytics platform

Deep and Shallow Learning

Not Yet

Spark and Hadoop

0

Cuda-covnet

C++

Library

machine learning library for neural-network applications

Deep Neural Networks

CUDA

coming in Cuda-covnet2

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