User Experience on mobile might not be great yet, but I'm working on it.

Your first time on this page? Allow me to give some explanations.

Awesome Machine Learning

A curated list of awesome Machine Learning frameworks, libraries and software.

Here you can see meta information about this topic like the time we last updated this page, the original creator of the awesome list and a link to the original GitHub repository.

Last Update: Nov. 30, 2021, 11:19 a.m.

Thank you josephmisiti & contributors
View Topic on GitHub:
josephmisiti/awesome-machine-learning

Search for resources by name or description.
Simply type in what you are looking for and the results will be filtered on the fly.

Further filter the resources on this page by type (repository/other resource), number of stars on GitHub and time of last commit in months.

Awesome Machine Learning

A curated list of awesome Machine Learning frameworks, libraries and software.

51.9K
12.86K
7d
n/a

Frameworks and Libraries

General-Purpose Machine Learning

Naive Bayesian Classifier written in APL

20
6
3y 10m
n/a

General-Purpose Machine Learning

Convolutional Neural Networks

21.77K
18.77K
101d
n/a

A C library for product recommendations/suggestions using collaborative filtering (CF)

241
66
3y 95d
BSD-2-Clause

Conjunto de scripts para treinar um Sistema de Recomendação Híbrido baseado nos algoritmos do scikit-learn

10
6
5y 17d
n/a

An open source machine learning library for performing regression tasks using RVM technique.

31
4
1y 99d
MIT

Pure C ONNX runtime with zero dependancies for embedded devices

101
19
8m
MIT

A lightweight, portable pure C99 onnx inference engine for embedded devices with hardware acceleration support.

312
50
36d
MIT

Computer Vision

C-based/Cached/Core Computer Vision Library, A Modern Computer Vision Library

6.82K
1.72K
13d
n/a

Computer Vision

a generic C++ library for image analysis

358
174
15d
n/a

OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation

22.44K
6.71K
50d
n/a

General-Purpose Machine Learning

Multi-armed bandit simulation library

124
44
1y 11m
MIT

Caffe: a fast open framework for deep learning.

32.09K
18.9K
1y 9m
n/a

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

6.22K
940
6d
Apache-2.0

Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit

17.12K
4.39K
1y 8m
n/a

Deep Learning API and Server in C++14 support for Caffe, Caffe2, PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE

2.29K
532
27d
n/a

Deep Scalable Sparse Tensor Network Engine (DSSTNE) is an Amazon developed library for building Deep Learning (DL) machine learning (ML) models

4.44K
766
1y 9m
Apache-2.0

DyNet: The Dynamic Neural Network Toolkit

3.26K
705
84d
Apache-2.0

A lightweight C++ machine learning library for embedded electronics and robotics.

409
78
4y 12d
MIT

oneAPI Data Analytics Library (oneDAL)

450
159
7d
Apache-2.0

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

13.21K
3.43K
7d
MIT

Library for factorization machines

1.41K
415
1y 8m
GPL-3.0

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

19.76K
6.88K
6d
Apache-2.0

ParaMonte: Plain Powerful Parallel Monte Carlo and MCMC Library for Python, MATLAB, Fortran, C++, C.

134
18
4m
MIT

This project has been moved to https://github.com/cnclabs/smore.

2
0
2y 6m
n/a

Shōgun

2.85K
1.05K
11m
BSD-3-Clause

Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.

7.77K
1.76K
27d
n/a

Fast parallel CTC.

3.94K
1.05K
6m
Apache-2.0

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

21.89K
8.24K
6d
Apache-2.0

ThunderGBM: Fast GBDTs and Random Forests on GPUs

612
81
10m
Apache-2.0

ThunderSVM: A Fast SVM Library on GPUs and CPUs

1.35K
185
9m
Apache-2.0

Low dependency(C++11 STL only), good portability, header-only, deep neural networks for embedded

34
12
10m
n/a

High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI interface.

2.96K
533
1y 9m
Apache-2.0

An open source python library for automated feature engineering

5.84K
766
28d
BSD-3-Clause

tiny neural net

62
18
107d
MIT

Feature Store for Machine Learning

2.42K
420
26d
Apache-2.0

Hopsworks - Data-Intensive AI platform with a Feature Store

603
92
29d
n/a

Machine Learning Platform for Kubernetes (MLOps tools for experimentation and automation)

2.95K
285
7d
Apache-2.0

Natural Language Processing

BLLIP reranking parser (also known as Charniak-Johnson parser, Charniak parser, Brown reranking parser) See http://pypi.python.org/pypi/bllipparser/ for Python module.

209
53
4y 62d
n/a

Colibri core is an NLP tool as well as a C++ and Python library for working with basic linguistic constructions such as n-grams and skipgrams (i.e patterns with one or more gaps, either of fixed or dynamic size) in a quick and memory-efficient way. At the core is the tool colibri-patternmodeller whi ch allows you to build, view, manipulate and query pattern models.

115
18
1y 6m
GPL-3.0

Frog is an integration of memory-based natural language processing (NLP) modules developed for Dutch. All NLP modules are based on Timbl, the Tilburg memory-based learning software package.

64
9
29d
GPL-3.0

FoLiA library for C++

14
6
33d
GPL-3.0

A Modern C++ Data Sciences Toolkit

617
224
4y 103d
n/a

MITIE: library and tools for information extraction

2.68K
528
43d
n/a

Unicode tokeniser. Ucto tokenizes text files: it separates words from punctuation, and splits sentences. It offers several other basic preprocessing steps such as changing case that you can all use to make your text suited for further processing such as indexing, part-of-speech tagging, or machine translation. Ucto comes with tokenisation rules for several languages and can be easily extended to suit other languages. It has been incorporated for tokenizing Dutch text in Frog, our Dutch morpho-syntactic processor. http://ilk.uvt.nl/ucto --

57
13
34d
GPL-3.0

Speech Recognition

kaldi-asr/kaldi is the official location of the Kaldi project.

11.07K
4.8K
14d
n/a

Sequence Analysis

35
7
1y 4m
GPL-2.0

Gesture Detection

gesture recognition toolkit

762
269
2y 30d
n/a

General-Purpose Machine Learning

Common Lisp machine learning library.

302
26
41d
MIT

MGL-GPR is a library of evolutionary algorithms such as Genetic Programming (evolving typed expressions from a set of operators and constants) and Differential Evolution.

54
18
41d
MIT

Common Lisp wrapper for the libsvm support vector machine library.

16
1
51d
MIT

A collection of machine learning algorithms for online linear classification written in Common Lisp

46
3
113d
MIT

Random forest in Common Lisp

51
5
4m
MIT

Natural Language Processing

Natural Language Processing in Clojure (opennlp)

725
80
3y 82d
EPL-1.0

Rails-like inflection library for Clojure and ClojureScript

194
17
1y 11m
EPL-1.0

General-Purpose Machine Learning

This library has been superceded by https://github.com/scicloj/scicloj.ml.

91
4
45d
EPL-1.0

A machine learning library for Clojure built on top of Weka and friends

135
21
3y 10m
n/a

Split testing library for Clojure

130
5
1y 57d
EPL-1.0

The Push programming language and the PushGP genetic programming system implemented in Clojure.

310
90
4m
EPL-1.0

A small machine learning library written in Lisp (Clojure) aimed at providing simple, concise implementations of machine learning techniques and utilities.

74
8
3y 28d
MIT

inference and machine learning in clojure

179
40
11y 96d
n/a

Clojure wrapper for Encog (v3) (Machine-Learning framework that specialises in neural-nets)

137
10
5y 7m
n/a

A genetic programming library for Clojure

100
15
7y 6m
GPL-3.0

Minimalistic statistics library for Clojure

62
7
6y 4m
EPL-1.0

(pre-alpha) Implementation of Jeff Hawkins' Hierarchical Temporal Memory & Cortical Learning Algorithm

179
18
6y 0d
GPL-3.0

Hierarchical Temporal Memory in Clojure

151
27
5y 69d
n/a

Deep Learning

A fast Clojure Tensor & Deep Learning library

317
10
32d
EPL-1.0

Clojure wrapper for deeplearning4j

97
8
3y 5m
EPL-1.0

Machine learning in Clojure

1.24K
112
3y 11m
EPL-1.0

Dynamic Tensor Graph library in Clojure (think PyTorch, DynNet, etc.)

282
19
2y 5m
EPL-1.0
100
16
3y 4m
BSD-2-Clause

Data Analysis

A Clojure high performance data processing system

386
19
29d
EPL-1.0

Dataset manipulation library built on the top of tech.ml.dataset

104
5
29d
MIT

Data-frames & arrays on Clojure

174
11
1y 7m
EPL-2.0

Map-Reduce for Clojure

531
60
4y 6m
Apache-2.0

A Clojure dataframe library that runs on Spark

197
20
86d
Apache-2.0

Data Visualization

Interactive arts and charts plotting with Clojure(Script) and Vega-lite / Vega. Flower viewing 花見 (hanami)

254
6
28d
MIT

Interactive document creation for exploratory graphics and visualizations. 咲いて (in bloom). Built on top of hanami vega/vega-lite library with CodeMirror and self hosted ClojureScript

101
1
28d
MIT

Data visualizations in Clojure and ClojureScript using Vega and Vega-lite

719
58
48d
EPL-1.0

Clojure Data Visualisation library, based on Statistiker and D3

75
3
3y 9m
n/a

Web based Clojure notebook application/-library.

92
7
5m
n/a

a Jupyter kernel for Clojure

711
86
18d
MIT

using your namespace as a notebook

101
8
35d
EPL-2.0

A Spark UI and Spark History Server alternative with CPU and Memory metrics! Delight is free, cross-platform, and open-source.

185
24
4m
n/a

Interop

Python bindings for Clojure

750
48
36d
EPL-2.0

Clojure speaks statistics - a bridge between Clojure to R

111
7
44d
EPL-2.0

Misc

A library of statistical distribution sampling and transducing functions

303
14
1y 85d
EPL-1.0

Fast primitive based math library

150
5
36d
MIT

A Clojure library of optimisation and control theory tools and convenience functions based on Neanderthal.

22
0
1y 66d
EPL-2.0

Extra

General-Purpose Machine Learning

Simple machine learning algorithm for crystal lang

41
6
95d
MIT

FANN (Fast Artifical Neural Network) binding in Crystal

77
5
3y 11m
MIT

General-Purpose Machine Learning

A Naive Bayes machine learning implementation in Elixir.

377
23
4y 4m
n/a

Turn data into functions! A simple and functional machine learning library written in elixir.

76
4
2y 11m
n/a

Tensorflow bindings for the Elixir programming language

300
14
2y 5m
Apache-2.0

Natural Language Processing

An English (Porter2) stemming implementation in Elixir.

134
7
4y 4m
n/a

General-Purpose Machine Learning

a Map/Reduce framework for distributed computing

1.63K
258
3y 10m
BSD-3-Clause

General-Purpose Machine Learning

A parallel neural net microframework

192
37
4m
MIT

Data Analysis / Data Visualization

ParaMonte: Plain Powerful Parallel Monte Carlo and MCMC Library for Python, MATLAB, Fortran, C++, C.

134
18
4m
MIT

Natural Language Processing

Snowball stemmer for Go

33
4
1y 7m
MIT

Word Embeddings (e.g. Word2Vec) in Go!

344
30
9m
Apache-2.0

A multilingual command line sentence tokenizer in Golang

312
29
5m
MIT

Ngram index for golang

98
14
5y 6m
MIT

Golang implementation of the Paice/Husk Stemming Algorithm

27
5
7y 11m
BSD-2-Clause

A native Go clean room implementation of the Porter Stemming algorithm.

179
40
5m
MIT

General-Purpose Machine Learning

A battle-tested recommendation library written in Go.

21
3
2y 95d
MIT

Evolutionary optimization library for Go (genetic algorithm, partical swarm optimization, differential evolution)

756
84
7m
MIT

pure Go implementation of prediction part for GBRT (Gradient Boosting Regression Trees) models from popular frameworks

299
50
7m
MIT

Neural Networks written in go

493
55
11m
MIT

🔥 Fast, simple sklearn-like feature processing for Go

61
6
5m
MIT

go binding for mxnet c_predict_api to do inference with pre-trained model

55
17
3y 5m
Apache-2.0

⏱ Benchmarks of machine learning inference for Go

19
1
9m
n/a

An open source Go transpiler for machine learning models.

57
5
2y 32d
Apache-2.0

Machine Learning for Go

8.08K
1.13K
47d
MIT

On-line Machine Learning in Go (and so much more)

1.26K
116
4m
MIT

Gorgonia is a library that helps facilitate machine learning in Go.

4.25K
361
15d
Apache-2.0

A High-level Machine Learning Library for Go

288
13
10m
Apache-2.0

An open source recommender system service written in Go

4.98K
408
9d
n/a

An embedded deep learning library for Go.

17
5
11m
MIT

NEAT (NeuroEvolution of Augmenting Topologies) implemented in Go

59
12
3y 6m
GPL-3.0

Pattern recognition package in Go lang.

59
12
8y 5m
n/a

Machine Learning libraries for Go Lang - Linear regression, Logistic regression, etc.

193
27
4y 7m
n/a

GoNN is an implementation of Neural Network in Go Language, which includes BPNN, RBF, PCN

341
56
5y 10m
n/a

Naive Bayesian Classification for Golang.

716
120
1y 8m
n/a

Genetic Algorithms library written in Go / golang

187
39
5y 11m
n/a

Ensembles of decision trees in go/golang.

696
87
5y 0d
n/a

Deep Neural Networks for Golang (powered by MXNet). The new updated version - https://github.com/go-ml-dev/nn

6
1
1y 7m
Apache-2.0

Spatial analysis and geometry

Package geom implements efficient geometry types for geospatial applications.

523
67
105d
BSD-2-Clause

S2 geometry library in Go

1.3K
148
9m
Apache-2.0

Data Analysis / Data Visualization

DataFrames for Go: For statistics, machine-learning, and data manipulation/exploration

662
61
36d
n/a

Gota: DataFrames and data wrangling in Go (Golang)

1.84K
183
29d
Apache-2.0

Go Language Library for SVG generation

1.76K
147
37d
n/a

Glot is a plotting library for Golang built on top of gnuplot.

355
17
2y 6m
MIT

Globe wireframe visualizations in Golang

1.52K
50
8m
ISC

Graph library for Go/golang language.

96
7
6y 25d
MIT

Random Forest implemtation in GoLang

106
44
7y 4m
n/a

Computer vision

Go package for computer vision using OpenCV 4 and beyond.

4.47K
655
22d
n/a

Reinforcement learning

Reinforcement Learning in Go

244
17
1y 39d
Apache-2.0

General-Purpose Machine Learning

Haskell implementations of various ML algorithms.

55
6
7y 6m
MIT

Homomorphic machine learning

1.58K
138
5y 6m
n/a

haskell neural network library

111
14
4y 8m
n/a

Hopfield Networks for unsupervised learning in Haskell

16
2
7y 7m
MIT

A DSL for deep neural networks, supporting Caffe and Torch

695
59
5y 12m
n/a

Purely functional artificial neural network library implemented in Haskell.

375
40
5y 8m
MIT

Natural Language Processing

General-Purpose Machine Learning

A machine learning package built for humans.

4.76K
588
90d
Apache-2.0

Datumbox is an open-source Machine Learning framework written in Java which allows the rapid development of Machine Learning and Statistical applications.

1.08K
295
1y 48d
Apache-2.0
727
267
2y 11m
n/a

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

5.63K
1.88K
6d
Apache-2.0

Hierarchical Temporal Memory implementation in Java - an official Community-Driven Java port of the Numenta Platform for Intelligent Computing (NuPIC).

301
160
38d
AGPL-3.0

Java version of LIBLINEAR

299
142
54d
BSD-3-Clause

Mirror of Apache Mahout

1.95K
964
5m
Apache-2.0

Serverless proxy for Spark cluster

316
68
1y 32d
Apache-2.0

Oryx 2: Lambda architecture on Apache Spark, Apache Kafka for real-time large scale machine learning

1.78K
412
106d
Apache-2.0

statistics, data mining and machine learning toolbox

57
13
29d
n/a

An open source ML system for the end-to-end data science lifecycle

879
402
27d
Apache-2.0

Learning Based Java (LBJava)

12
17
1y 48d
n/a

Just a simple implementation of K-Nearest Neighbour algorithm.

3
0
5y 84d
n/a

Speech Recognition

Data Analysis / Data Visualization

Apache Hadoop

12.04K
7.48K
26d
Apache-2.0

Distributed, masterless, high performance, fault tolerant data processing

2.02K
213
2y 92d
EPL-1.0

Apache Spark - A unified analytics engine for large-scale data processing

31.23K
24.69K
26d
Apache-2.0

Real-time Query for Hadoop; mirror of Apache Impala

14
16
5m
Apache-2.0

Deep Learning

Deeplearning4j, ND4J, DataVec and more - deep learning & linear algebra for Java/Scala with GPUs + Spark

47
28
1y 6m
Apache-2.0

Natural Language Processing

Twitter Text Libraries. This code is used at Twitter to tokenize and parse text to meet the expectations for what can be used on the platform.

2.6K
427
40d
Apache-2.0

general natural language facilities for node

9.69K
871
19d
MIT

Find Dates, Places, Times, and More. A .js library for parsing text for specific information.

5.33K
240
2y 110d
MIT

natural language processor powered by plugins part of the @unifiedjs collective

2.1K
102
95d
MIT

modest natural-language processing

10.04K
642
28d
MIT

An NLP library for building bots, with entity extraction, sentiment analysis, automatic language identify, and so more

4.63K
457
18d
MIT

Data Analysis / Data Visualization

General-Purpose Machine Learning

[UNMAINTAINED] Automated machine learning for analytics & production

1.55K
303
9m
MIT

Clustering algorithms implemented in Javascript for Node.js and the browser

30
4
7y 4m
n/a

NodeJS Implementation of Decision Tree using ID3 Algorithm

192
41
8m
MIT

DN2A - Digital Neural Networks Architecture in JavaScript

463
20
111d
MIT

Unsupervised machine learning with multivariate Gaussian mixture model which supports both offline data and real-time data stream.

23
1
3y 4m
MIT

FANN (Fast Artificial Neural Network Library) bindings for Node.js

188
35
4y 10m
n/a

Run Keras models in the browser, with GPU support using WebGL

4.85K
524
3y 107d
MIT

Simple Javascript implementation of the k-means algorithm, for node.js and the browser

44
6
8y 4m
n/a

LDA topic modeling for node.js

263
40
2y 4m
Apache-2.0

javascript implementation of logistic regression/c4.5 decision tree

67
17
2y 6m
n/a

Machine Learning library for the web and Node.

504
50
70d
MIT

Support Vector Machines for nodejs

295
47
2y 8m
MIT

[UNMAINTAINED] Simple feed-forward neural network in JavaScript

8.03K
936
3y 9m
MIT

🤖 GPU accelerated Neural networks in JavaScript for Browsers and Node.js

12.33K
1K
12d
MIT

Bayesian bandit implementation for Node and the browser.

43
7
4y 113d
MIT

architecture-free neural network library for node.js and the browser

6.8K
698
2y 9m
n/a

K-nearest neighbors algorithm for supervised learning implemented in javascript

43
7
4y 17d
n/a
273
25
6y 5m
n/a

Kalman Filter in Javascript

114
29
6y 88d
n/a

Machine Learning library for node.js

108
11
5y 10m
MIT

Machine learning tools in JavaScript

2.18K
208
5m
MIT

Friendly machine learning for the web! 🤖

5.21K
667
27d
n/a

Reinforcement learning using Markov Decision Processes. For JS, written in C++.

501
22
3y 7m
n/a

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

19.76K
6.88K
6d
Apache-2.0

JavaScript Machine Learning Toolkit

22
2
112d
n/a

Run XGBoost model and make predictions in Node.js

26
4
4y 32d
n/a

Visualizer for neural network, deep learning, and machine learning models

16.91K
1.94K
7d
MIT

Deep learning for the Web

31
1
7m
MIT

The Fastest DNN Running Framework on Web Browser

1.84K
149
69d
n/a

Misc

✨ Standard library for JavaScript and Node.js. ✨

2.71K
146
28d
Apache-2.0

Vector, matrix and geometry math JavaScript

1.13K
129
2y 6m
n/a

simple statistics for node & browser javascript

2.66K
209
29d
ISC

Curve Fitting in JavaScript.

827
125
112d
MIT

Linear Regression library in pure Javascript

43
9
8y 67d
n/a

A concise collection of classes for PHP, Python, JavaScript and Ruby to calculate great circle distance, bearing, and destination from geographic coordinates

68
12
4y 5m
MIT

MLPleaseHelp is a simple ML resource search engine.

5
4
2y 10m
Apache-2.0

Machine learning platform for Web developers

2.17K
190
50d
Apache-2.0

Demos and Scripts

Example in javascript of how the neural network learns to predict the angle between two points created with synaptic.js

5
1
3y 5m
n/a

Example in javascript of how the neural network learns to predict is the beer glass half full or half empty depending on user decisions created with synaptic.js

5
0
3y 5m
n/a

General-Purpose Machine Learning

Julia Machine Learning library

106
25
6y 80d
n/a

A set of functions to support the development of machine learning algorithms

178
61
74d
MIT

A Julia framework for probabilistic graphical models.

50
17
1y 9m
n/a

Regularized discriminant analysis in Julia.

8
8
10m
MIT

Algorithms for regression analysis (e.g. linear regression and logistic regression)

60
21
4y 6m
MIT

Local regression, so smooooth!

64
27
50d
n/a

Simple Naive Bayes implementation in Julia

8
2
8y 6m
n/a

A Julia package for fitting (statistical) mixed-effects models

290
43
27d
MIT

basic mcmc sampler implemented in Julia

12
1
8y 5m
n/a

A Julia package for evaluating distances (metrics) between vectors.

310
86
31d
n/a

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

246
82
55d
n/a

A neural network in Julia

46
15
4y 6m
n/a

MCMC tools for Julia

33
8
8y 7m
MIT

Markov chain Monte Carlo (MCMC) for Bayesian analysis in julia

240
52
1y 96d
n/a

Generalized linear models in Julia

416
100
27d
n/a

A Julia package for Gaussian Processes

258
50
75d
n/a

Julia wrapper for fitting Lasso/ElasticNet GLM models using glmnet

83
31
92d
n/a

A Julia package for data clustering

261
105
100d
n/a

SVM's for Julia

39
25
5y 4m
n/a

Kernel density estimators for Julia

116
31
7m
n/a

A Julia package for multivariate statistics and data analysis (e.g. dimension reduction)

257
63
33d
n/a

A Julia package for non-negative matrix factorization

71
31
4m
n/a

Julia artificial neural networks

57
12
2y 7m
n/a

Deep Learning framework for Julia

1.27K
265
2y 12m
n/a

XGBoost Julia Package

198
103
113d
n/a

A Julia package for manifold learning and nonlinear dimensionality reduction

61
19
6m
n/a

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

19.76K
6.88K
6d
Apache-2.0

Deep Learning for Julia

147
11
2y 6d
MIT

Receiver Operating Characteristics and functions for evaluation probabilistic binary classifiers

27
10
74d
n/a

Large scale Gaussian Mixture Models

63
29
62d
n/a

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

462
67
66d
n/a

Koç University deep learning framework.

1.31K
234
28d
n/a

A Julia machine learning framework

1.22K
125
31d
n/a

Natural Language Processing

TopicModels for Julia

33
18
1y 6m
MIT

Julia package for text analysis

324
95
5m
n/a

High performance tokenizers for natural language processing and other related tasks

75
23
7m
n/a

A variety of loaders for various NLP corpora.

25
13
32d
n/a

Functions and data dependencies for loading various word embeddings (Word2Vec, FastText, GLoVE)

58
15
1y 9m
MIT

A package for working with human languages

38
23
8m
n/a

A Julia package for Princeton's WordNet®.

26
11
1y 9m
n/a

Data Analysis / Data Visualization

Graph layout algorithms in pure Julia

47
19
1y 6m
MIT

An optimized graphs package for the Julia programming language

680
205
53d
n/a

Metaprogramming tools for DataFrames

329
49
32d
n/a

library for working with tabular data in Julia

6
1
8y 89d
n/a

Read files from Stata, SAS, and SPSS

68
18
106d
MIT

Hypothesis tests for Julia

196
70
26d
n/a

Crafty statistical graphics for Julia.

1.71K
257
28d
n/a

Convenience meta-package to load essential packages for statistics

94
12
7m
n/a

Julia package for loading many of the data sets available in R

137
54
34d
GPL-3.0

In-memory tabular data in Julia

1.2K
324
27d
n/a

A Julia package for probability distributions and associated functions.

772
337
26d
n/a

DEPRECATED: Data structures that allow missing values

52
50
3y 96d
n/a

Time series toolkit for Julia

261
68
32d
n/a

Basic sampling algorithms for Julia

1
3
7y 5m
n/a

Misc Stuff / Presentations

Filter design, periodograms, window functions, and other digital signal processing functionality

273
84
35d
n/a

Presentations for JuliaCon

69
20
5y 8m
n/a

An image library for Julia

458
139
27d
n/a

reproducible data setup for reproducible science

98
36
48d
n/a

General-Purpose Machine Learning

Cephes Mathematical Functions library wrapped for Torch

43
25
5y 8m
n/a

Autograd automatically differentiates native Torch code

545
115
40d
Apache-2.0

Graph package for Torch

34
27
5y 7d
n/a

Provides and wraps the Randomkit library, copied from Numpy.

35
24
2y 7m
BSD-3-Clause

Signal processing toolbox for Torch 7

44
14
4y 5m
BSD-3-Clause
1.29K
970
10m
n/a

Torch on steroids

994
199
2y 8m
n/a

Graph Computation for nn

293
93
4y 4m
n/a

An extension to Torch7's nn package.

96
49
4y 6m
n/a

Recurrent Neural Network library for Torch7's nn

922
318
3y 11m
n/a

deep extensions to nn

189
81
4y 6m
n/a

A deep learning library for streamlining research and development using the Torch7 distribution.

345
141
5y 91d
n/a

A numeric optimization package for Torch.

194
154
4y 4d
n/a

Some unsupervised learning modules using Torch

84
36
4y 6m
n/a

A package to manipulate manifolds.

125
29
4y 5m
n/a