機器學習開源庫
以下是根據不同語言型別和應用領域收集的各類工具庫，持續更新中。
C
通用機器學習
Recommender- 一個產品推薦的C語言庫，利用了協同過濾.
計算機視覺
CCV -C-based/Cached/Core Computer Vision Library ,是一個現代化的計算機視覺庫。
VLFeat - VLFeat 是開源的 computervision algorithms庫, 有 Matlab toolbox。
C++
計算機視覺
OpenCV - 最常用的視覺庫。有C++, C, Python 以及 Java 介面)，支援Windows, Linux, Android and Mac OS。
DLib - DLib 有 C++ 和 Python 臉部識別和物體檢測介面 。
EBLearn - Eblearn 是一個面向物件的 C++ 庫，實現了各種機器學習模型。
VIGRA - VIGRA 是一個跨平臺的機器視覺和機器學習庫，可以處理任意維度的資料，有Python介面。
通用機器學習
MLPack - 可拓展的 C++ 機器學習庫。
DLib - 設計為方便嵌入到其他系統中。
VowpalWabbit (VW) - A fast out-of-core learning system.
sofia-ml - fastincremental 演算法套件.
Shogun -The Shogun Machine Learning Toolbox
Caffe - deeplearning 框架，結構清晰，可讀性好，速度快。
CXXNET - 精簡的框架，核心程式碼不到1000 行。
XGBoost - 為平行計算優化過的gradient boosting library.
CUDA - Thisis a fast C++/CUDA implementation of convolutional [DEEP LEARNING]
Stan - A probabilisticprogramming language implementing full Bayesian statistical inference withHamiltonian Monte Carlo sampling
BanditLib - Asimple Multi-armed Bandit library.
Timbl - 實現了多個基於記憶體的演算法，其中 IB1-IG （KNN分類演算法）和 IGTree（決策樹）在NLP中廣泛應用.
自然語言處理
CRF++ - 條件隨機場的開源實現，可以用作分詞，詞性標註等。
CRFsuite -CRFsuite 是條件隨機場的實現，可以用作詞性標註等。
BLLIP Parser -即Charniak-Johnson parser。
colibri-core- 一組C++ library, 命令列工具以及Python binding，高效實現了n-grams 和 skipgrams。
ucto - 多語言tokenizer，支援面向Unicode的正則表示式，支援FoLiA 格式.
機器翻譯
語音識別
Kaldi - Kaldi是一個C ++工具，以Apache許可證V2.0釋出。Kaldi適用於語音識別的研究。
Sequence Analysis
ToPS - This is anobjected-oriented framework that facilitates the integration of probabilisticmodels for sequences over a user defined alphabet.
Java
自然語言處理
Cortical.io - Retina: 此API執行復雜的NLP操作（消歧義，分類，流文字過濾等），快速、直觀如同大腦一般。
CoreNLP- Stanford CoreNLP 提供了一組自然語言分析工具，可採取raw英語文字輸入並給出單詞的基本形式。
StanfordParser - parser是一個程式，能分析出句子的語法結構。
Tregex,Tsurgeon and Semgrex - Tregex是匹配樹模式的工具，基於樹的關係和正則表示式的節點匹配（ short for "tree regular expressions"）。
StanfordEnglish Tokenizer - Stanford Phrasal 是最先進的統計的基於短語的機器翻譯系統，用Java編寫。
StanfordTokens Regex - A tokenizer divides text into a sequence of tokens, whichroughly correspond to "words"
StanfordSPIED - 從種子集開始，迭代使用模式，從未標註文字中習得實體。
MALLET - 基於Java的軟體包，包括統計自然語言處理，文件分類，聚類，主題建模，資訊提取，以及其它機器學習應用。
OpenNLP - 一個基於機器學習的自然語言處理的工具包。
ClearTK - ClearTK提供了開發統計自然語言處理元件的框架，其建立在Apache UIMA之上。
Apache cTAKES - Apache 臨床文字分析及知識提取系統（cTAKES）是從電子病歷、臨床文字中進行資訊抽取的一個開源系統。
通用機器學習
aerosolve -Airbnb 從頭開始設計的機器學習庫，易用性好。
Datumbox- 機器學習和統計應用程式的快速開發框架。
ELKI - 資料探勘工具. (非監督學習: 聚類, 離群點檢測等.)
Encog - 先進的神經網路和機器學習框架。 Encog中包含用於建立各種網路，以及規範和處理資料的神經網路。 Encog訓練採用多執行緒彈性的傳播方式。 Encog還可以利用GPU的進一步加快處理時間。有基於GUI的工作臺。
H2O - 機器學習引擎，支援Hadoop,Spark等分散式系統和個人電腦，可以通過R, Python, Scala, REST/JSON呼叫API。
htm.java - 通用機器學習庫，使用Numenta’s Cortical Learning Algorithm
java-deeplearning- 分散式深度學習平臺 for Java, Clojure,Scala
JAVA-ML - Java通用機器學習庫，所有演算法統一介面。
JSAT- 具有很多分類，迴歸，聚類等機器學習演算法。
Mahout - 分散式機器學習工具。
Meka - 一個開源實現的多標籤分類和評估方法。基於weka擴充套件。
Neuroph - 輕量級Java神經網路框架
ORYX - LambdaArchitecture Framework，使用Apache Spark和Apache Kafka實現實時大規模機器學習。
StanfordClassifier - A classifier is a machine learning tool that will take dataitems and place them into one of k classes.
SmileMiner -Statistical Machine Intelligence & Learning Engine
SystemML- 靈活的，可擴充套件的機器學習語言。
Weka - WEKA是機器學習演算法用於資料探勘任務的演算法集合。
語音識別
CMU Sphinx - 開源工具包，用於語音識別，完全基於Java的語音識別庫。
資料分析、視覺化
Hadoop -Hadoop/HDFS
Spark - Spark 快速通用的大規模資料處理引擎。
Impala - 實時Hadoop查詢。
DataMelt - 數學軟體，包含數值計算，統計，符號計算，資料分析和資料視覺化。
Deep Learning
Deeplearning4j- 可擴充套件的產業化的深度學習，利用並行的GPU
Python
計算機視覺
Scikit-Image- Python中的影象處理演算法的集合。
SimpleCV - 一個開源的計算機視覺框架，允許訪問幾個高效能運算機視覺庫，如OpenCV。可以執行在Mac，Windows和Ubuntu Linux作業系統上。
Vigranumpy - 計算機視覺庫VIGRAC++ 的Python繫結。
自然語言處理
NLTK - 構建與人類語言資料相關工作的Python程式的領先平臺。
Pattern - 基於Python的Web挖掘模組。它有自然語言處理，機器學習等工具。
Quepy - 將自然語言問題轉換成資料庫查詢語言。
TextBlob - 為普通的自然語言處理（NLP）任務提供一致的API。構建於NLTK和Pattern上，並很好地與兩者互動。
YAlign - 句子對齊工具，從對照語料中抽取並行句子。
jieba - 中文分詞工具
loso - 中文分詞工具
genius - 基於條件隨機場的中文分詞工具
KoNLPy - 韓語自然語言處理
nut - 自然語言理解工具
Rosetta- Text processing tools and wrappers (e.g. Vowpal Wabbit)
BLLIP Parser- BLLIP Natural Language Parser 的Python繫結(即 Charniak-Johnson parser)
PyNLPl - Python的自然語言處理庫。還包含用於解析常見NLP格式的工具，如FoLiA,以及 ARPA language models, Moses phrasetables, GIZA++ 對齊等。
python-ucto -ucto(面向unicode的基於規則的tokenizer)的Python 繫結
python-frog -Frog的Python 繫結。荷蘭語的詞性標註，lemmatisation，依存分析，NER。
python-zpar- ZPar的Python 繫結（英文的基於統計的詞性標註, constiuency解析器和依賴解析器）
colibri-core- 高效提取 n-grams 和 skipgrams的C++庫的Python 繫結
spaCy - 工業級 NLP withPython and Cython.
PyStanfordDependencies- 將 Penn Treebank tree轉換到Stanford 依存樹的Python介面.
通用機器學習
XGBoost - eXtremeGradient Boosting (Tree)庫的Python 繫結
Featureforge一組工具，用於建立和測試機器學習的特徵，具有與scikit-learn相容的API
scikit-learn - 基於SciPy的機器學習的Python模組。
metric-learn- metric learning的Python模組
SimpleAI -實現了“人工智慧現代方法”一書中描述的許多人工智慧演算法。它著重於提供一個易於使用的，文件良好的和經過測試的庫。
astroML - 天文學機器學習和資料探勘庫。
graphlab-create- 基於disk-backed DataFrame的庫，實現了各種機器學習模型（迴歸，聚類，推薦系統，圖形分析等）。
BigML - 與外部伺服器交流的庫。
pattern - Web資料探勘模組.
NuPIC - Numenta智慧計算平臺.
hebel - GPU加速的Python深度學習庫。
gensim - 易用的主題建模工具
topik - 主題建模工具包
PyBrain - AnotherPython Machine Learning Library.
Crab - 靈活的，快速的推薦引擎
CoverTree -Python implementation of cover trees, near-drop-in replacement forscipy.spatial.kdtree
nilearn -NeuroImaging機器學習庫
Shogun -Shogun Machine Learning Toolbox
Caffe - deep learning框架，結構清晰，可讀性好，速度快。
breze - 基於Theano 的深度神經網路
pyhsmm - 貝葉斯隱馬爾可夫模型近似無監督的推理和顯式時長隱半馬爾可夫模型，專注於貝葉斯非引數擴充套件，the HDP-HMM and HDP-HSMM,大多是弱極限近似。
mrjob - 使得 Python 程式可以跑在 Hadoop上.
SKLL- 簡化的scikit-learn介面，易於做實驗
Spearmint -貝葉斯演算法的優化。方法見於論文: Practical Bayesian Optimization of Machine Learning Algorithms.Jasper Snoek, Hugo Larochelle and Ryan P. Adams. Advances in Neural InformationProcessing Systems, 2012.
Pebl - 貝葉斯學習的Python環境
Theano - 優化GPU超程式設計程式碼，生成面向矩陣的優化的數學編譯器
TensorFlow- 用資料流圖進行數值計算的開源軟體庫
yahmm - 隱馬爾可夫模型，用Cython實現
python-timbl- 包裝了完整的TiMBL C ++程式設計介面. Timbl是一個精心製作的k最近鄰機器學習工具包。
deap - 進化演算法框架
pydeep - Python 深度學習
mlxtend - 對資料科學和機器學習任務非常有用的工具庫。
Optunity - 致力於自動化超引數優化過程，使用一個簡單的，輕量級的API，以方便直接替換網格搜尋。
Annoy - Approximatenearest neighbours implementation
skflow - TensorFlow的簡化介面, 類似 ScikitLearn.
TPOT - 自動建立並利用geneticprogramming優化機器學習的管道。將它看作您的資料科學助理，自動化機器學習中大部分的枯燥工作。
資料分析、視覺化
SciPy - A Python-basedecosystem of open-source software for mathematics, science, and engineering.
NumPy - A fundamental packagefor scientific computing with Python.
Numba - Python JIT (just intime) complier to LLVM aimed at scientific Python by the developers of Cythonand NumPy.
NetworkX - Ahigh-productivity software for complex networks.
Pandas - A libraryproviding high-performance, easy-to-use data structures and data analysistools.
Open Mining -Business Intelligence (BI) in Python (Pandas web interface)
PyMC - MarkovChain Monte Carlo sampling toolkit.
zipline - APythonic algorithmic trading library.
PyDy - Short for Python Dynamics,used to assist with workflow in the modeling of dynamic motion based aroundNumPy, SciPy, IPython, and matplotlib.
SymPy - A Pythonlibrary for symbolic mathematics.
statsmodels- Statistical modeling and econometrics in Python.
astropy - A community Pythonlibrary for Astronomy.
matplotlib - A Python 2Dplotting library.
bokeh - InteractiveWeb Plotting for Python.
plotly - Collaborative webplotting for Python and matplotlib.
vincent - APython to Vega translator.
d3py - A plottlinglibrary for Python, based on D3.js.
ggplot - Same API asggplot2 for R.
ggfortify -Unified interface to ggplot2 popular R packages.
Kartograph.py- Rendering beautiful SVG maps in Python.
pygal - A Python SVG ChartsCreator.
PyQtGraph - Apure-python graphics and GUI library built on PyQt4 / PySide and NumPy.
Petrel - Tools forwriting, submitting, debugging, and monitoring Storm topologies in pure Python.
Blaze - NumPy andPandas interface to Big Data.
emcee - The Pythonensemble sampling toolkit for affine-invariant MCMC.
windML - A Python Frameworkfor Wind Energy Analysis and Prediction
vispy - GPU-basedhigh-performance interactive OpenGL 2D/3D data visualization library
cerebro2 Aweb-based visualization and debugging platform for NuPIC.
NuPICStudio An all-in-one NuPIC Hierarchical Temporal Memory visualization anddebugging super-tool!
Seaborn- A python visualization library based on matplotlib
bqplot - An APIfor plotting in Jupyter (IPython)
Common Lisp
通用機器學習
mgl - Neuralnetworks (boltzmann machines, feed-forward and recurrent nets), Gaussian Processes
mgl-gpr -Evolutionary algorithms
cl-libsvm -Wrapper for the libsvm support vector machine library
Clojure
自然語言處理
Clojure-openNLP- Natural Language Processing in Clojure (opennlp)
Infections-clj- Rails-like inflection library for Clojure and ClojureScript
通用機器學習
Touchstone- Clojure A/B testing library
Clojush - hePush programming language and the PushGP genetic programming system implementedin Clojure
Infer - Inferenceand machine learning in clojure
Clj-ML - Amachine learning library for Clojure built on top of Weka and friends
Encog - Clojurewrapper for Encog (v3) (Machine-Learning framework that specializes inneural-nets)
Fungp - A geneticprogramming library for Clojure
Statistiker- Basic Machine Learning algorithms in Clojure.
clortex -General Machine Learning library using Numenta’s Cortical Learning Algorithm
comportex- Functionally composable Machine Learning library using Numenta’s CorticalLearning Algorithm
資料分析、視覺化
Incanter - Incanter is aClojure-based, R-like platform for statistical computing and graphics.
PigPen -Map-Reduce for Clojure.
Envision -Clojure Data Visualisation library, based on Statistiker and D3
Matlab
計算機視覺
Contourlets - MATLAB source code that implements thecontourlet transform and its utility functions.
Shearlets- MATLAB code for shearlet transform
Curvelets -The Curvelet transform is a higher dimensional generalization of the Wavelettransform designed to represent images at different scales and differentangles.
Bandlets- MATLAB code for bandlet transform
mexopencv -Collection and a development kit of MATLAB mex functions for OpenCV library
自然語言處理
NLP - An NLP library for Matlab
通用機器學習
Spider -The spider有望成為matlab裡機器學習中的完整的面向物件環境。
LibSVM- 著名的支援向量機庫。
LibLinear- A Library for Large Linear Classification
Caffe - deeplearning 框架，結構清晰，可讀性好，速度快。
Optunity - A librarydedicated to automated hyperparameter optimization with a simple, lightweightAPI to facilitate drop-in replacement of grid search. Optunity is written inPython but interfaces seamlessly with MATLAB.致力於自動化超引數優化的，一個簡單的，輕量級的API庫，方便直接替換網格搜尋。 Optunity是用Python編寫的，但與MATLAB的無縫連線。
資料分析、視覺化
matlab_gbl - MatlabBGL is a Matlab package for working withgraphs.
gamic - Efficient pure-Matlab implementations of graphalgorithms to complement MatlabBGL's mex functions.
.NET
計算機視覺
OpenCVDotNet- A wrapper for the OpenCV project to be used with .NET applications.
Emgu CV- Cross platform wrapper of OpenCV which can be compiled in Mono to e run onWindows, Linus, Mac OS X, iOS, and Android.
AForge.NET -Open source C# framework for developers and researchers in the fields of ComputerVision and Artificial Intelligence. Development has now shifted to GitHub.
Accord.NET - Togetherwith AForge.NET, this library can provide image processing and computer visionalgorithms to Windows, Windows RT and Windows Phone. Some components are alsoavailable for Java and Android.
自然語言處理
Stanford.NLPfor .NET - A full port of Stanford NLP packages to .NET and also availableprecompiled as a NuGet package.
通用機器學習
Accord-Framework - 一個完整的框架，可以用於機器學習，計算機視覺，computer audition，訊號處理，統計應用等。.
Accord.MachineLearning- Support Vector Machines, Decision Trees, Naive Bayesian models, K-means,Gaussian Mixture models and general algorithms such as Ransac, Cross-validationand Grid-Search for machine-learning applications. This package is part of theAccord.NET Framework.
DiffSharp - Anautomatic differentiation (AD) library providing exact and efficientderivatives (gradients, Hessians, Jacobians, directional derivatives, and matrix-freeHessian- and Jacobian-vector products) for machine learning and optimizationapplications. Operations can be nested to any level, meaning that you cancompute exact higher-order derivatives and differentiate functions that areinternally making use of differentiation, for applications such ashyperparameter optimization.
Vulpes - Deepbelief and deep learning implementation written in F# and leverages CUDA GPUexecution with Alea.cuBase.
Encog- An advanced neural network and machine learning framework. Encog containsclasses to create a wide variety of networks, as well as support classes tonormalize and process data for these neural networks. Encog trains usingmultithreaded resilient propagation. Encog can also make use of a GPU tofurther speed processing time. A GUI based workbench is also provided to helpmodel and train neural networks.
Neural Network Designer - DBMSmanagement system and designer for neural networks. The designer application isdeveloped using WPF, and is a user interface which allows you to design yourneural network, query the network, create and configure chat bots that arecapable of asking questions and learning from your feed back. The chat bots caneven scrape the internet for information to return in their output as well asto use for learning.
資料分析、視覺化
numl - numl is amachine learning library intended to ease the use of using standard modelingtechniques for both prediction and clustering.
Math.NETNumerics - Numerical foundation of the Math.NET project, aiming to providemethods and algorithms for numerical computations in science, engineering andevery day use. Supports .Net 4.0, .Net 3.5 and Mono on Windows, Linux and Mac;Silverlight 5, WindowsPhone/SL 8, WindowsPhone 8.1 and Windows 8 with PCLPortable Profiles 47 and 344; Android/iOS with Xamarin.
Sho- Sho is an interactive environment for data analysis and scientific computingthat lets you seamlessly connect scripts (in IronPython) with compiled code (in.NET) to enable fast and flexible prototyping. The environment includespowerful and efficient libraries for linear algebra as well as datavisualization that can be used from any .NET language, as well as afeature-rich interactive shell for rapid development.
Ruby
自然語言處理
Treat - TextREtrieval and Annotation Toolkit, definitely the most comprehensive toolkitI’ve encountered so far for Ruby
RubyLinguistics - Linguistics is a framework for building linguistic utilitiesfor Ruby objects in any language. It includes a generic language-independentfront end, a module for mapping language codes into language names, and amodule which contains various English-language utilities.
Stemmer -Expose libstemmer_c to Ruby
RubyWordnet - This library is a Ruby interface to WordNet
Raspel - raspellis an interface binding for ruby
UEA Stemmer -Ruby port of UEALite Stemmer - a conservative stemmer for search and indexing
Twitter-text-rb- A library that does auto linking and extraction of usernames, lists andhashtags in tweets
通用機器學習
RubyMachine Learning - Some Machine Learning algorithms, implemented in Ruby
jRuby Mahout- JRuby Mahout is a gem that unleashes the power of Apache Mahout in the worldof JRuby.
CardMagic-Classifier- A general classifier module to allow Bayesian and other types ofclassifications.
資料分析、視覺化
rsruby -Ruby - R bridge
data-visualization-ruby- Source code and supporting content for my Ruby Manor presentation on DataVisualisation with Ruby
ruby-plot- gnuplot wrapper for ruby, especially for plotting roc curves into svg files
plot-rb - A plottinglibrary in Ruby built on top of Vega and D3.
scruffy - A beautiful graphing toolkit for Ruby
Glean - A datamanagement tool for humans
Misc
Listof -Community based data collection, packed in gem. Get list of pretty muchanything (stop words, countries, non words) in txt, json or hash. Demo/Search for a list
R
通用機器學習
ahaz- ahaz: Regularization for semiparametric additive hazards regression
arules- arules: Mining Association Rules and Frequent Itemsets
bigrf- bigrf: Big Random Forests: Classification and Regression Forests for LargeData Sets
bigRR- bigRR: Generalized Ridge Regression (with special advantage for p >> ncases)
bmrm- bmrm: Bundle Methods for Regularized Risk Minimization Package
Boruta- Boruta: A wrapper algorithm for all-relevant feature selection
bst- bst: Gradient Boosting
C50- C50: C5.0 Decision Trees and Rule-Based Models
caret -Classification and Regression Training: Unified interface to ~150 ML algorithmsin R.
caretEnsemble - caretEnsemble: Framework for fittingmultiple caret models as well as creating ensembles of such models.
CORElearn - CORElearn: Classification, regression, featureevaluation and ordinal evaluation
CoxBoost - CoxBoost: Cox models by likelihood basedboosting for a single survival endpoint or competing risks
Cubist- Cubist: Rule- and Instance-Based Regression Modeling
e1071- e1071: Misc Functions of the Department of Statistics (e1071), TU Wien
earth- earth: Multivariate Adaptive Regression Spline Models
elasticnet - elasticnet: Elastic-Net for Sparse Estimationand Sparse PCA
ElemStatLearn - ElemStatLearn: Data sets, functions andexamples from the book: "The Elements of Statistical Learning, DataMining, Inference, and Prediction" by Trevor Hastie, Robert Tibshirani andJerome Friedman Prediction" by Trevor Hastie, Robert Tibshirani and JeromeFriedman
evtree- evtree: Evolutionary Learning of Globally Optimal Trees
fpc- fpc: Flexible procedures for clustering
frbs- frbs: Fuzzy Rule-based Systems for Classification and Regression Tasks
GAMBoost - GAMBoost: Generalized linear and additive modelsby likelihood based boosting
gamboostLSS - gamboostLSS: Boosting Methods for GAMLSS
gbm- gbm: Generalized Boosted Regression Models
glmnet- glmnet: Lasso and elastic-net regularized generalized linear models
glmpath- glmpath: L1 Regularization Path for Generalized Linear Models and CoxProportional Hazards Model
GMMBoost - GMMBoost: Likelihood-based Boosting for Generalizedmixed models
grplasso - grplasso: Fitting user specified models withGroup Lasso penalty
grpreg- grpreg: Regularization paths for regression models with grouped covariates
h2o- A framework for fast, parallel, and distributed machine learning algorithmsat scale -- Deeplearning, Random forests, GBM, KMeans, PCA, GLM
hda- hda: Heteroscedastic Discriminant Analysis
ipred- ipred: Improved Predictors
kernlab- kernlab: Kernel-based Machine Learning Lab
klaR- klaR: Classification and visualization
lars- lars: Least Angle Regression, Lasso and Forward Stagewise
lasso2- lasso2: L1 constrained estimation aka ‘lasso’
LiblineaR - LiblineaR: Linear Predictive Models Based OnThe Liblinear C/C++ Library
LogicReg - LogicReg: Logic Regression
maptree- maptree: Mapping, pruning, and graphing tree models
mboost- mboost: Model-Based Boosting
medley - medley: Blending regression models, using a greedystepwise approach
mlr- mlr: Machine Learning in R
mvpart- mvpart: Multivariate partitioning
ncvreg- ncvreg: Regularization paths for SCAD- and MCP-penalized regression models
nnet- nnet: Feed-forward Neural Networks and Multinomial Log-Linear Models
oblique.tree - oblique.tree: Oblique Trees forClassification Data
pamr- pamr: Pam: prediction analysis for microarrays
party- party: A Laboratory for Recursive Partytioning
partykit - partykit: A Toolkit for Recursive Partytioning
penalized - penalized: L1 (lasso and fused lasso) and L2(ridge) penalized estimation in GLMs and in the Cox model
penalizedLDA - penalizedLDA: Penalized classification usingFisher's linear discriminant
penalizedSVM - penalizedSVM: Feature Selection SVM usingpenalty functions
quantregForest - quantregForest: Quantile RegressionForests
randomForest - randomForest: Breiman and Cutler's randomforests for classification and regression
randomForestSRC - randomForestSRC: Random Forests forSurvival, Regression and Classification (RF-SRC)
rattle- rattle: Graphical user interface for data mining in R
rda- rda: Shrunken Centroids Regularized Discriminant Analysis
rdetools - rdetools: Relevant Dimension Estimation (RDE) inFeature Spaces
REEMtree - REEMtree: Regression Trees with Random Effectsfor Longitudinal (Panel) Data
relaxo- relaxo: Relaxed Lasso
rgenoud- rgenoud: R version of GENetic Optimization Using Derivatives
rgp- rgp: R genetic programming framework
Rmalschains - Rmalschains: Continuous Optimization usingMemetic Algorithms with Local Search Chains (MA-LS-Chains) in R
rminer- rminer: Simpler use of data mining methods (e.g. NN and SVM) inclassification and regression
ROCR- ROCR: Visualizing the performance of scoring classifiers
RoughSets - RoughSets: Data Analysis Using Rough Set andFuzzy Rough Set Theories
rpart- rpart: Recursive Partitioning and Regression Trees
RPMM- RPMM: Recursively Partitioned Mixture Model
RSNNS- RSNNS: Neural Networks in R using the Stuttgart Neural Network Simulator(SNNS)
RWeka- RWeka: R/Weka interface
RXshrink - RXshrink: Maximum Likelihood Shrinkage viaGeneralized Ridge or Least Angle Regression
sda- sda: Shrinkage Discriminant Analysis and CAT Score Variable Selection
SDDA- SDDA: Stepwise Diagonal Discriminant Analysis
SuperLearnerand subsemble - Multi-algorithm ensemble learning packages.
svmpath- svmpath: svmpath: the SVM Path algorithm
tgp- tgp: Bayesian treed Gaussian process models
tree- tree: Classification and regression trees
varSelRF - varSelRF: Variable selection using randomforests
XGBoost.R- R binding for eXtreme Gradient Boosting (Tree) Library
Optunity - A librarydedicated to automated hyperparameter optimization with a simple, lightweightAPI to facilitate drop-in replacement of grid search. Optunity is written inPython but interfaces seamlessly to R.
資料分析、視覺化
ggplot2 - A data visualizationpackage based on the grammar of graphics.
Scala
自然語言處理
ScalaNLP - ScalaNLP is asuite of machine learning and numerical computing libraries.
Breeze - Breezeis a numerical processing library for Scala.
Chalk - Chalk is anatural language processing library.
FACTORIE -FACTORIE is a toolkit for deployable probabilistic modeling, implemented as asoftware library in Scala. It provides its users with a succinct language forcreating relational factor graphs, estimating parameters and performinginference.
資料分析、視覺化
MLlibin Apache Spark - Distributed machine learning library in Spark
Scalding - AScala API for Cascading
Summing Bird- Streaming MapReduce with Scalding and Storm
Algebird -Abstract Algebra for Scala
xerial - Datamanagement utilities for Scala
simmer - Reduceyour data. A unix filter for algebird-powered aggregation.
PredictionIO- PredictionIO, a machine learning server for software developers and dataengineers.
BIDMat - CPU andGPU-accelerated matrix library intended to support large-scale exploratory dataanalysis.
Wolfe Declarative MachineLearning
通用機器學習
Conjecture -Scalable Machine Learning in Scalding
brushfire -Distributed decision tree ensemble learning in Scala
ganitha -scalding powered machine learning
adam - Agenomics processing engine and specialized file format built using Apache Avro,Apache Spark and Parquet. Apache 2 licensed.
bioscala -Bioinformatics for the Scala programming language
BIDMach - CPU andGPU-accelerated Machine Learning Library.
Figaro - a Scalalibrary for constructing probabilistic models.
H2O SparklingWater - H2O and Spark interoperability.