awesome-machine-master
python exam
https://github.com/webexfavorhero/awesome-machine-master
Last synced: about 2 hours ago
JSON representation
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Credits
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.NET
- Emgu CV - Cross platform wrapper of OpenCV which can be compiled in Mono to e run on Windows, Linus, Mac OS X, iOS, and Android.
- Neural Network Designer - DBMS management system and designer for neural networks. The designer application is developed using WPF, and is a user interface which allows you to design your neural network, query the network, create and configure chat bots that are capable of asking questions and learning from your feed back. The chat bots can even scrape the internet for information to return in their output as well as to use for learning.
- Sho - Sho is an interactive environment for data analysis and scientific computing that lets you seamlessly connect scripts (in IronPython) with compiled code (in .NET) to enable fast and flexible prototyping. The environment includes powerful and efficient libraries for linear algebra as well as data visualization that can be used from any .NET language, as well as a feature-rich interactive shell for rapid development.
- Emgu CV - Cross platform wrapper of OpenCV which can be compiled in Mono to e run on Windows, Linus, Mac OS X, iOS, and Android.
- Neural Network Designer - DBMS management system and designer for neural networks. The designer application is developed using WPF, and is a user interface which allows you to design your neural network, query the network, create and configure chat bots that are capable of asking questions and learning from your feed back. The chat bots can even scrape the internet for information to return in their output as well as to use for learning.
- numl - numl is a machine learning library intended to ease the use of using standard modeling techniques for both prediction and clustering.
- Sho - Sho is an interactive environment for data analysis and scientific computing that lets you seamlessly connect scripts (in IronPython) with compiled code (in .NET) to enable fast and flexible prototyping. The environment includes powerful and efficient libraries for linear algebra as well as data visualization that can be used from any .NET language, as well as a feature-rich interactive shell for rapid development.
- OpenCVDotNet - A wrapper for the OpenCV project to be used with .NET applications.
- Vulpes - Deep belief and deep learning implementation written in F# and leverages CUDA GPU execution with Alea.cuBase.
- Stanford.NLP for .NET - A full port of Stanford NLP packages to .NET and also available precompiled as a NuGet package.
- AForge.NET - Open source C# framework for developers and researchers in the fields of Computer Vision and Artificial Intelligence. Development has now shifted to GitHub.
- Accord.NET - Together with AForge.NET, this library can provide image processing and computer vision algorithms to Windows, Windows RT and Windows Phone. Some components are also available for Java and Android.
- Accord.MachineLearning - Support Vector Machines, Decision Trees, Naive Bayesian models, K-means, Gaussian Mixture models and general algorithms such as Ransac, Cross-validation and Grid-Search for machine-learning applications. This package is part of the Accord.NET Framework.
- Encog - An advanced neural network and machine learning framework. Encog contains classes to create a wide variety of networks, as well as support classes to normalize and process data for these neural networks. Encog trains using multithreaded resilient propagation. Encog can also make use of a GPU to further speed processing time. A GUI based workbench is also provided to help model and train neural networks.
- Math.NET Numerics - Numerical foundation of the Math.NET project, aiming to provide methods and algorithms for numerical computations in science, engineering and every 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 PCL Portable Profiles 47 and 344; Android/iOS with Xamarin.
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C
- Accord-Framework - The Accord.NET Framework is a complete framework for building machine learning, computer vision, computer audition, signal processing and statistical applications.
- Recommender - A C library for product recommendations/suggestions using collaborative filtering (CF).
- CCV - C-based/Cached/Core Computer Vision Library, A Modern Computer Vision Library
- Accord-Framework - The Accord.NET Framework is a complete framework for building machine learning, computer vision, computer audition, signal processing and statistical applications.
- VLFeat - VLFeat is an open and portable library of computer vision algorithms, which has Matlab toolbox
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Javascript
- dimple
- natural - General natural language facilities for node
- Synaptic - Architecture-free neural network library for node.js and the browser
- Brain - Neural networks in JavaScript
- D3xter - Straight forward plotting built on D3
- LDA.js - LDA topic modeling for node.js
- Learning.js - Javascript implementation of logistic regression/c4.5 decision tree
- Node-fann - FANN (Fast Artificial Neural Network Library) bindings for Node.js
- statkit - Statistics kit for JavaScript
- Node-SVM - Support Vector Machine for nodejs
- Bayesian-Bandit - Bayesian bandit implementation for Node and the browser.
- Knwl.js - A Natural Language Processor in JS
- dimple
- Z3d - Easily make interactive 3d plots built on Three.js
- kNear - JavaScript implementation of the k nearest neighbors algorithm for supervised learning
- dc.js
- NLP.js - NLP utilities in javascript and coffeescript
- Decision Trees - NodeJS Implementation of Decision Tree using ID3 Algorithm
- High Charts
- science.js - Scientific and statistical computing in JavaScript.
- NVD3.js
- Machine Learning - Machine learning library for Node.js
- Twitter-text-js - A JavaScript implementation of Twitter's text processing library
- TextProcessing - Sentiment analysis, stemming and lemmatization, part-of-speech tagging and chunking, phrase extraction and named entity recognition.
- D3.js
- chartjs
- Convnet.js - ConvNetJS is a Javascript library for training Deep Learning models[DEEP LEARNING]
- Clustering.js - Clustering algorithms implemented in Javascript for Node.js and the browser
- Kmeans.js - Simple Javascript implementation of the k-means algorithm, for node.js and the browser
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Python
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General-Purpose Machine Learning
- Pandas - A library providing high-performance, easy-to-use data structures and data analysis tools.
- Numba - Python JIT (just in time) complier to LLVM aimed at scientific Python by the developers of Cython and NumPy.
- SimpleCV - An open source computer vision framework that gives access to several high-powered computer vision libraries, such as OpenCV. Written on Python and runs on Mac, Windows, and Ubuntu Linux.
- cerebro2 - based visualization and debugging platform for NuPIC.
- PyDy - Short for Python Dynamics, used to assist with workflow in the modeling of dynamic motion based around NumPy, SciPy, IPython, and matplotlib.
- astroML - Machine Learning and Data Mining for Astronomy.
- XGBoost - Python bindings for eXtreme Gradient Boosting (Tree) Library
- neurolab - https://code.google.com/p/neurolab/
- deap - Evolutionary algorithm framework.
- Bayesian Methods for Hackers - Book/iPython notebooks on Probabilistic Programming in Python
- zipline - A Pythonic algorithmic trading library.
- PyMC - Markov Chain Monte Carlo sampling toolkit.
- pydeep - Deep Learning In Python
- hebel - GPU-Accelerated Deep Learning Library in Python.
- jieba - Chinese Words Segmentation Utilities.
- Pylearn2 - A Machine Learning library based on [Theano](https://github.com/Theano/Theano).
- SymPy - A Python library for symbolic mathematics.
- gensim - Topic Modelling for Humans.
- vincent - A Python to Vega translator.
- SKLL - A wrapper around scikit-learn that makes it simpler to conduct experiments.
- statsmodels - Statistical modeling and econometrics in Python.
- PyQtGraph - A pure-python graphics and GUI library built on PyQt4 / PySide and NumPy.
- Spearmint - Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimization of Machine Learning Algorithms. Jasper Snoek, Hugo Larochelle and Ryan P. Adams. Advances in Neural Information Processing Systems, 2012.
- pattern - Web mining module for Python.
- pattern_classification
- Rosetta - Text processing tools and wrappers (e.g. Vowpal Wabbit)
- PyNLPl - Python Natural Language Processing Library. General purpose NLP library for Python. Also contains some specific modules for parsing common NLP formats, most notably for [FoLiA](https://proycon.github.io/folia), but also ARPA language models, Moses phrasetables, GIZA++ alignments.
- sentiment_classifier - Sentiment classifier using word sense disambiguation.
- jProcessing - Kanji / Hiragana / Katakana to Romaji Converter. Edict Dictionary & parallel sentences Search. Sentence Similarity between two JP Sentences. Sentiment Analysis of Japanese Text. Run Cabocha(ISO--8859-1 configured) in Python.
- SnowNLP - A library for processing Chinese text.
- nilearn - Machine learning for NeuroImaging in Python
- pandas cookbook - Recipes for using Python's pandas library
- Crab - A recommendation engine library for Python
- vispy - GPU-based high-performance interactive OpenGL 2D/3D data visualization library
- Allen Downey’s Think OS Code - Text and supporting code for Think OS: A Brief Introduction to Operating Systems.
- hyperopt
- Quepy - A python framework to transform natural language questions to queries in a database query language
- pyhsmm - library for approximate unsupervised inference in Bayesian Hidden Markov Models (HMMs) and explicit-duration Hidden semi-Markov Models (HSMMs), focusing on the Bayesian Nonparametric extensions, the HDP-HMM and HDP-HSMM, mostly with weak-limit approximations.
- python-timbl - A Python extension module wrapping the full TiMBL C++ programming interface. Timbl is an elaborate k-Nearest Neighbours machine learning toolkit.
- YAlign - A sentence aligner, a friendly tool for extracting parallel sentences from comparable corpora.
- emcee - The Python ensemble sampling toolkit for affine-invariant MCMC.
- PyBrain - Another Python Machine Learning Library.
- d3py - A plottling library for Python, based on [D3.js](http://d3js.org/).
- Petrel - Tools for writing, submitting, debugging, and monitoring Storm topologies in pure Python.
- genius - A Chinese segment base on Conditional Random Field.
- python-recsys - A Python library for implementing a Recommender System.
- Crab - A flexible, fast recommender engine.
- ipython-notebooks
- kaggle_acquire-valued-shoppers-challenge - Code for the Kaggle acquire valued shoppers challenge
- Featureforge - learn compatible API
- Kartograph.py - Rendering beautiful SVG maps in Python.
- group-lasso - Some experiments with the coordinate descent algorithm used in the (Sparse) Group Lasso model
- python-frog - Python binding to Frog, an NLP suite for Dutch. (pos tagging, lemmatisation, dependency parsing, NER)
- python-ucto - Python binding to ucto (a unicode-aware rule-based tokenizer for various languages)
- Kaggle Dogs vs. Cats - Code for Kaggle Dovs vs. Cats competition
- Kaggle Galaxy Challenge - Winning solution for the Galaxy Challenge on Kaggle
- wiki challenge - An implementation of Dell Zhang's solution to Wikipedia's Participation Challenge on Kaggle
- nut - Natural language Understanding Toolkit
- Bolt - Bolt Online Learning Toolbox
- sentiment-analyzer - Tweets Sentiment Analyzer
- scikit-learn - A Python module for machine learning built on top of SciPy.
- SimpleCV - An open source computer vision framework that gives access to several high-powered computer vision libraries, such as OpenCV. Written on Python and runs on Mac, Windows, and Ubuntu Linux.
- PyStanfordDependencies - Python interface for converting Penn Treebank trees to Stanford Dependencies.
- thinking bayes - Book on Bayesian Analysis
- Restricted Boltzmann Machines - Restricted Boltzmann Machines in Python. [DEEP LEARNING]
- CoverTree - Python implementation of cover trees, near-drop-in replacement for scipy.spatial.kdtree
- Pyevolve - Genetic algorithm framework.
- breze - Theano based library for deep and recurrent neural networks
- thinking stats 2
- decision-weights
- Sarah Palin LDA - Topic Modeling the Sarah Palin emails.
- Diffusion Segmentation - A collection of image segmentation algorithms based on diffusion methods
- Scipy Tutorials - SciPy tutorials. This is outdated, check out scipy-lecture-notes
- BayesPy - Bayesian Inference Tools in Python
- scikit-learn tutorials - Series of notebooks for learning scikit-learn
- mne-python-notebooks - IPython notebooks for EEG/MEG data processing using mne-python
- climin - Optimization library focused on machine learning, pythonic implementations of gradient descent, LBFGS, rmsprop, adadelta and others
- Allen Downey’s Data Science Course - Code for Data Science at Olin College, Spring 2014.
- Allen Downey’s Think Complexity Code - Code for Allen Downey's book Think Complexity.
- kaggle insults - Kaggle Submission for "Detecting Insults in Social Commentary"
- kaggle-cifar - Code for the CIFAR-10 competition at Kaggle, uses cuda-convnet
- kaggle-blackbox - Deep learning made easy
- kaggle-accelerometer - Code for Accelerometer Biometric Competition at Kaggle
- kaggle-advertised-salaries - Predicting job salaries from ads - a Kaggle competition
- kaggle amazon - Amazon access control challenge
- kaggle-bestbuy_big - Code for the Best Buy competition at Kaggle
- kaggle-bestbuy_small
- Kaggle Gender - A Kaggle competition: discriminate gender based on handwriting
- Kaggle Merck - Merck challenge at Kaggle
- Kaggle Stackoverflow - Predicting closed questions on Stack Overflow
- wine-quality - Predicting wine quality
- neurolab - https://code.google.com/p/neurolab/
- Open Mining - Business Intelligence (BI) in Python (Pandas web interface)
- matplotlib - A Python 2D plotting library.
- NumPy - A fundamental package for scientific computing with Python.
- NLTK - A leading platform for building Python programs to work with human language data.
- Pebl - Python Environment for Bayesian Learning
- spaCy - Industrial strength NLP with Python and Cython.
- yahmm - Hidden Markov Models for Python, implemented in Cython for speed and efficiency.
- Theano - Optimizing GPU-meta-programming code generating array oriented optimizing math compiler in Python
- pycascading
- Pattern - A web mining module for the Python programming language. It has tools for natural language processing, machine learning, among others.
- NuPIC - Numenta Platform for Intelligent Computing.
- astropy - A community Python library for Astronomy.
- ggplot - Same API as ggplot2 for R.
- graphlab-create - A library with various machine learning models (regression, clustering, recommender systems, graph analytics, etc.) implemented on top of a disk-backed DataFrame.
- Blaze - NumPy and Pandas interface to Big Data.
- NuPIC Studio - in-one NuPIC Hierarchical Temporal Memory visualization and debugging super-tool!
- 2012-paper-diginorm
- loso - Another Chinese segmentation library.
- bokeh - Interactive Web Plotting for Python.
- windML - A Python Framework for Wind Energy Analysis and Prediction
- TextBlob - Providing a consistent API for diving into common natural language processing (NLP) tasks. Stands on the giant shoulders of NLTK and Pattern, and plays nicely with both.
- SimpleAI
- BigML - A library that contacts external servers.
- mrjob - A library to let Python program run on Hadoop.
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Lua
- Torch7
- Numeric Lua
- Lua - Numerical Algorithms
- Music Tagging - Music Tagging scripts for torch7
- signal - A signal processing toolbox for Torch-7. FFT, DCT, Hilbert, cepstrums, stft
- Lunatic Python
- Lunum
- Numeric Lua
- Numeric Lua
- cutorch - Torch CUDA Implementation
- cunn - Torch CUDA Neural Network Implementation
- nn - Neural Network package for Torch
- Training a Convnet for the Galaxy-Zoo Kaggle challenge(CUDA demo)
- torch-datasets - Scripts to load several popular datasets including:
- graph - Graph package for Torch
- optim - An optimization library for Torch. SGD, Adagrad, Conjugate-Gradient, LBFGS, RProp and more.
- nngraph - This package provides graphical computation for nn library in Torch7.
- OverFeat - A state-of-the-art generic dense feature extractor
- nnx - A completely unstable and experimental package that extends Torch's builtin nn library
- unsup - A package for unsupervised learning in Torch. Provides modules that are compatible with nn (LinearPsd, ConvPsd, AutoEncoder, ...), and self-contained algorithms (k-means, PCA).
- manifold - A package to manipulate manifolds
- svm - Torch-SVM library
- lbfgs - FFI Wrapper for liblbfgs
- vowpalwabbit - An old vowpalwabbit interface to torch.
- OpenGM - OpenGM is a C++ library for graphical modeling, and inference. The Lua bindings provide a simple way of describing graphs, from Lua, and then optimizing them with OpenGM.
- sphagetti - Spaghetti (sparse linear) module for torch7 by @MichaelMathieu
- LuaSHKit - A lua wrapper around the Locality sensitive hashing library SHKit
- kernel smoothing - KNN, kernel-weighted average, local linear regression smoothers
- imgraph - An image/graph library for Torch. This package provides routines to construct graphs on images, segment them, build trees out of them, and convert them back to images.
- videograph - A video/graph library for Torch. This package provides routines to construct graphs on videos, segment them, build trees out of them, and convert them back to videos.
- saliency - code and tools around integral images. A library for finding interest points based on fast integral histograms.
- stitch - allows us to use hugin to stitch images and apply same stitching to a video sequence
- sfm - A bundle adjustment/structure from motion package
- fex - A package for feature extraction in Torch. Provides SIFT and dSIFT modules.
- Numeric Lua
- Core torch7 demos repository
- Atari2600 - Scripts to generate a dataset with static frames from the Arcade Learning Environment
- signal - A signal processing toolbox for Torch-7. FFT, DCT, Hilbert, cepstrums, stft
- Lunum
- SciLua
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R
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General-Purpose Machine Learning
- 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 Large Data Sets
- bigRR - bigRR: Generalized Ridge Regression (with special advantage for p >> n cases)
- 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
- CORElearn - CORElearn: Classification, regression, feature evaluation and ordinal evaluation
- CoxBoost - CoxBoost: Cox models by likelihood based boosting 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 Estimation and Sparse PCA
- ElemStatLearn - ElemStatLearn: Data sets, functions and examples from the book: "The Elements of Statistical Learning, Data Mining, Inference, and Prediction" by Trevor Hastie, Robert Tibshirani and Jerome Friedman Prediction" by Trevor Hastie, Robert Tibshirani and Jerome Friedman
- evtree - evtree: Evolutionary Learning of Globally Optimal Trees
- frbs - frbs: Fuzzy Rule-based Systems for Classification and Regression Tasks
- GAMBoost - GAMBoost: Generalized linear and additive models by 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 Cox Proportional Hazards Model
- GMMBoost - GMMBoost: Likelihood-based Boosting for Generalized mixed models
- grplasso - grplasso: Fitting user specified models with Group Lasso penalty
- grpreg - grpreg: Regularization paths for regression models with grouped covariates
- h2o - A framework for fast, parallel, and distributed machine learning algorithms at 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 On The Liblinear C/C++ Library
- LogicReg - LogicReg: Logic Regression
- maptree - maptree: Mapping, pruning, and graphing tree models
- mboost - mboost: Model-Based Boosting
- 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 for Classification 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 using Fisher's linear discriminant
- penalizedSVM - penalizedSVM: Feature Selection SVM using penalty functions
- quantregForest - quantregForest: Quantile Regression Forests
- randomForest - randomForest: Breiman and Cutler's random forests for classification and regression
- randomForestSRC - randomForestSRC: Random Forests for Survival, 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) in Feature Spaces
- REEMtree - REEMtree: Regression Trees with Random Effects for 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 using Memetic Algorithms with Local Search Chains (MA-LS-Chains) in R
- rminer - rminer: Simpler use of data mining methods (e.g. NN and SVM) in classification and regression
- ROCR - ROCR: Visualizing the performance of scoring classifiers
- RoughSets - RoughSets: Data Analysis Using Rough Set and Fuzzy 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 via Generalized Ridge or Least Angle Regression
- sda - sda: Shrinkage Discriminant Analysis and CAT Score Variable Selection
- SDDA - SDDA: Stepwise Diagonal Discriminant Analysis
- 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 random forests
- XGBoost.R - R binding for eXtreme Gradient Boosting (Tree) Library
- ggplot2 - A data visualization package based on the grammar of graphics.
- caret - Classification and Regression Training: Unified interface to ~150 ML algorithms in R.
- Introduction to Statistical Learning
- Learning Statistics Using R
- fpc - fpc: Flexible procedures for clustering
- mlr - mlr: Machine Learning in R
- Machine Learning For Hackers
- SuperLearner - project.org/web/packages/subsemble/index.html) - Multi-algorithm ensemble learning packages.
- bigrf - bigrf: Big Random Forests: Classification and Regression Forests for Large Data Sets
- bigRR - bigRR: Generalized Ridge Regression (with special advantage for p >> n cases)
- caret - Classification and Regression Training: Unified interface to ~150 ML algorithms in R.
- mvpart - mvpart: Multivariate partitioning
- oblique.tree - oblique.tree: Oblique Trees for Classification Data
- rgp - rgp: R genetic programming framework
- SDDA - SDDA: Stepwise Diagonal Discriminant Analysis
- Clever Algorithms For Machine Learning
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Java
- OpenNLP - a machine learning based toolkit for the processing of natural language text.
- Stanford Phrasal: A Phrase-Based Translation System
- Stanford Topic Modeling Toolbox - Topic modeling tools to social scientists and others who wish to perform analysis on datasets
- Spark - Spark is a fast and general engine for large-scale data processing.
- Mahout - Distributed machine learning
- htm.java - General Machine Learning library using Numenta’s Cortical Learning Algorithm
- Hadoop - Hadoop/HDFS
- Datumbox - Machine Learning framework for rapid development of Machine Learning and Statistical applications
- Impala - Real-time Query for Hadoop
- LingPipe - A tool kit for processing text using computational linguistics.
- Twitter Text Java - A Java implementation of Twitter's text processing library
- ClearTK - ClearTK provides a framework for developing statistical natural language processing (NLP) components in Java and is built on top of Apache UIMA.
- CMU Sphinx - Open Source Toolkit For Speech Recognition purely based on Java speech recognition library.
- Weka - Weka is a collection of machine learning algorithms for data mining tasks
- Stanford Classifier - A classifier is a machine learning tool that will take data items and place them into one of k classes.
- Twitter Text Java - A Java implementation of Twitter's text processing library
- Meka - An open source implementation of methods for multi-label classification and evaluation (extension to Weka).
- Neuroph - Neuroph is lightweight Java neural network framework
- ORYX - Simple real-time large-scale machine learning infrastructure.
- JSAT - Numerous Machine Learning algoirhtms for classification, regresion, and clustering.
- Stanford English Tokenizer - Stanford Phrasal is a state-of-the-art statistical phrase-based machine translation system, written in Java.
- MALLET - A Java-based package for statistical natural language processing, document classification, clustering, topic modeling, information extraction, and other machine learning applications to text.
- Apache cTAKES - Apache clinical Text Analysis and Knowledge Extraction System (cTAKES) is an open-source natural language processing system for information extraction from electronic medical record clinical free-text.
- ELKI - Java toolkit for data mining. (unsupervised: clustering, outlier detection etc.)
- JAVA-ML - A general ML library with a common interface for all algorithms in Java
- MLlib in Apache Spark - Distributed machine learning library in Spark
- WalnutiQ - object oriented model of the human brain
- Deeplearning4j - Scalable deep learning for industry with parallel GPUs
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C++
- DLib - DLib has C++ and Python interfaces for face detection and training general object detectors.
- DLib - A suite of ML tools designed to be easy to imbed in other applications
- shark
- CRF++ - Open source implementation of Conditional Random Fields (CRFs) for segmenting/labeling sequential data & other Natural Language Processing tasks.
- Shogun - The Shogun Machine Learning Toolbox
- MIT Information Extraction Toolkit - C, C++, and Python tools for named entity recognition and relation extraction
- colibri-core - C++ library, command line tools, and Python binding for extracting and working with with basic linguistic constructions such as n-grams and skipgrams in a quick and memory-efficient way.
- BanditLib - A simple Multi-armed Bandit library.
- ToPS - This is an objected-oriented framework that facilitates the integration of probabilistic models for sequences over a user defined alphabet.
- OpenCV - OpenCV has C++, C, Python, Java and MATLAB interfaces and supports Windows, Linux, Android and Mac OS.
- sofia-ml - Suite of fast incremental algorithms.
- CUDA - This is a fast C++/CUDA implementation of convolutional [DEEP LEARNING]
- Vowpal Wabbit (VW) - A fast out-of-core learning system.
- EBLearn - Eblearn is an object-oriented C++ library that implements various machine learning models
- ecogg
- CXXNET - Yet another deep learning framework with less than 1000 lines core code [DEEP LEARNING]
- DLib - A suite of ML tools designed to be easy to imbed in other applications
- ucto - Unicode-aware regular-expression based tokeniser for various languages. Tool and C++ library. Supports FoLiA format.
- Stan - A probabilistic programming language implementing full Bayesian statistical inference with Hamiltonian Monte Carlo sampling
- DLib - DLib has C++ and Python interfaces for face detection and training general object detectors.
- shark
- Timbl - A software package/C++ library implementing several memory-based learning algorithms, among which IB1-IG, an implementation of k-nearest neighbor classification, and IGTree, a decision-tree approximation of IB1-IG. Commonly used for NLP.
- BLLIP Parser - BLLIP Natural Language Parser (also known as the Charniak-Johnson parser)
- Kaldi - Kaldi is a toolkit for speech recognition written in C++ and licensed under the Apache License v2.0. Kaldi is intended for use by speech recognition researchers.
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Clojure
- Incanter - Incanter is a Clojure-based, R-like platform for statistical computing and graphics.
- PigPen - Map-Reduce for Clojure.
- Clojure-openNLP - Natural Language Processing in Clojure (opennlp)
- Infections-clj - Rails-like inflection library for Clojure and ClojureScript
- Clojush - he Push programming language and the PushGP genetic programming system implemented in Clojure
- Infer - Inference and machine learning in clojure
- Encog - Clojure wrapper for Encog (v3) (Machine-Learning framework that specialises in neural-nets)
- Fungp - A genetic programming library for Clojure
- Statistiker - Basic Machine Learning algorithms in Clojure.
- Incanter - Incanter is a Clojure-based, R-like platform for statistical computing and graphics.
- Clj-ML - A machine learning library for Clojure built on top of Weka and friends
- Touchstone - Clojure A/B testing library
- clortex - General Machine Learning library using Numenta’s Cortical Learning Algorithm
- comportex - Functionally composable Machine Learning library using Numenta’s Cortical Learning Algorithm
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Matlab
- Contourlets - MATLAB source code that implements the contourlet transform and its utility functions.
- Curvelets - The Curvelet transform is a higher dimensional generalization of the Wavelet transform designed to represent images at different scales and different angles.
- Bandlets - MATLAB code for bandlet transform
- matlab_gbl - MatlabBGL is a Matlab package for working with graphs.
- Shearlets - MATLAB code for shearlet transform
- NLP - An NLP library for Matlab
- t-Distributed Stochastic Neighbor Embedding - t-Distributed Stochastic Neighbor Embedding (t-SNE) is a (prize-winning) technique for dimensionality reduction that is particularly well suited for the visualization of high-dimensional datasets.
- Spider - The spider is intended to be a complete object orientated environment for machine learning in Matlab.
- Machine Learning Module - Class on machine w/ PDF,lectures,code
- gamic - Efficient pure-Matlab implementations of graph algorithms to complement MatlabBGL's mex functions.
- Curvelets - The Curvelet transform is a higher dimensional generalization of the Wavelet transform designed to represent images at different scales and different angles.
- LibSVM - A Library for Support Vector Machines
- LibLinear - A Library for Large Linear Classification
- Pattern Recognition Toolbox - A complete object-oriented environment for machine learning in Matlab.
- Pattern Recognition and Machine Learning - This package contains the matlab implementation of the algorithms described in the book Pattern Recognition and Machine Learning by C. Bishop.
-
Ruby
-
General-Purpose Machine Learning
- ruby-plot - gnuplot wrapper for ruby, especially for plotting roc curves into svg files
- SciRuby
- scruffy - A beautiful graphing toolkit for Ruby
- Neural Networks and Deep Learning - Code samples for my book "Neural Networks and Deep Learning" [DEEP LEARNING]
- Treat - Text REtrieval and Annotation Toolkit, definitely the most comprehensive toolkit I’ve encountered so far for Ruby
- Bioruby
- Listof - Community based data collection, packed in gem. Get list of pretty much anything (stop words, countries, non words) in txt, json or hash. [Demo/Search for a list](http://listof.herokuapp.com/)
- CardMagic-Classifier - A general classifier module to allow Bayesian and other types of classifications.
- plot-rb - A plotting library in Ruby built on top of Vega and D3.
- data-visualization-ruby - Source code and supporting content for my Ruby Manor presentation on Data Visualisation with Ruby
- Arel
- jRuby Mahout - JRuby Mahout is a gem that unleashes the power of Apache Mahout in the world of JRuby.
- Stemmer - Expose libstemmer_c to Ruby
- UEA Stemmer - Ruby port of UEALite Stemmer - a conservative stemmer for search and indexing
- Ruby Machine Learning - Some Machine Learning algorithms, implemented in Ruby
- Machine Learning Ruby
- rsruby - Ruby - R bridge
- SciRuby
- Glean - A data management tool for humans
- Big Data For Chimps
- Twitter-text-rb - A library that does auto linking and extraction of usernames, lists and hashtags in tweets
- scruffy - A beautiful graphing toolkit for Ruby
- Twitter-text-rb - A library that does auto linking and extraction of usernames, lists and hashtags in tweets
- Ruby Linguistics - Linguistics is a framework for building linguistic utilities for Ruby objects in any language. It includes a generic language-independent front end, a module for mapping language codes into language names, and a module which contains various English-language utilities.
- Ruby Wordnet - This library is a Ruby interface to WordNet
- Raspel - raspell is an interface binding for ruby
-
-
Scala
-
General-Purpose Machine Learning
- ScalaNLP - ScalaNLP is a suite of machine learning and numerical computing libraries.
- brushfire - decision trees for scalding
- Wolfe
- Scalding - A Scala API for Cascading
- Summing Bird - Streaming MapReduce with Scalding and Storm
- Algebird - Abstract Algebra for Scala
- BIDMach - CPU and GPU-accelerated Machine Learning Library.
- bioscala - Bioinformatics for the Scala programming language
- adam - A genomics processing engine and specialized file format built using Apache Avro, Apache Spark and Parquet. Apache 2 licensed.
- Breeze - Breeze is a numerical processing library for Scala.
- ganitha - scalding powered machine learning
- xerial - Data management utilities for Scala
- simmer - Reduce your data. A unix filter for algebird-powered aggregation.
- ScalaNLP - ScalaNLP is a suite of machine learning and numerical computing libraries.
- Chalk - Chalk is a natural language processing library.
- FACTORIE - FACTORIE is a toolkit for deployable probabilistic modeling, implemented as a software library in Scala. It provides its users with a succinct language for creating relational factor graphs, estimating parameters and performing inference.
- BIDMat - CPU and GPU-accelerated matrix library intended to support large-scale exploratory data analysis.
- Conjecture - Scalable Machine Learning in Scalding
- Figaro - a Scala library for constructing probabilistic models.
-
-
Go
- SVGo - The Go Language library for SVG generation
- paicehusk - Golang implementation of the Paice/Husk Stemming Algorithm.
- bayesian - Naive Bayesian Classification for Golang.
- Cloudforest - Ensembles of decision trees in go/golang.
- go-galib - Genetic Algorithms library written in Go / golang
- go-pr - Pattern recognition package in Go lang.
- Go Learn - Machine Learning for Go
- go-porterstemmer - A native Go clean room implementation of the Porter Stemming algorithm.
- go-ngram - In-memory n-gram index with compression.
- go-graph - Graph library for Go/golang language.
- SVGo - The Go Language library for SVG generation
- snowball - Snowball Stemmer for Go.
-
Julia
- Clustering - Basic functions for clustering data: k-means, dp-means, etc.
- SVM - SVM's for Julia
- Mocha.jl - Deep Learning framework for Julia inspired by Caffe
- GLM - Generalized linear models in Julia
- Topic Models - TopicModels for Julia
- Time Series - Time series toolkit for Julia
- DSP - Digital Signal Processing (filtering, periodograms, spectrograms, window functions).
- Kernal Density - Kernel density estimators for julia
- Distributions - A Julia package for probability distributions and associated functions.
- PGM - A Julia framework for probabilistic graphical models.
- Regression - Algorithms for regression analysis (e.g. linear regression and logistic regression)
- Naive Bayes - Simple Naive Bayes implementation in Julia
- Simple MCMC - basic mcmc sampler implemented in Julia
- Distance - Julia module for Distance evaluation
- Decision Tree - Decision Tree Classifier and Regressor
- MCMC - MCMC tools for Julia
- Online Learning
- Dimensionality Reduction - Methods for dimensionality reduction
- NMF - A Julia package for non-negative matrix factorization
- ANN - Julia artificial neural networks
- Graph Layout - Graph layout algorithms in pure Julia
- Julia Data - library for working with tabular data in Julia
- Hypothesis Tests - Hypothesis tests for Julia
- Data Arrays - Data structures that allow missing values
- JuliaCon Presentations - Presentations for JuliaCon
- Text Analysis - Julia package for text analysis
- Data Frames Meta - Metaprogramming tools for DataFrames
- RDataSets - Julia package for loading many of the data sets available in R
- DataFrames - library for working with tabular data in Julia
- XGBoost.jl - eXtreme Gradient Boosting Package in Julia
- Mixed Models - A Julia package for fitting (statistical) mixed-effects models
- Neural - A neural network in Julia
- Data Read - Read files from Stata, SAS, and SPSS
- Gadfly - Crafty statistical graphics for Julia.
- Stats - Statistical tests for Julia
- Sampling - Basic sampling algorithms for Julia
- DA - Julia package for Regularized Discriminant Analysis
- Local Regression - Local regression, so smooooth!
- GLMNet - Julia wrapper for fitting Lasso/ElasticNet GLM models using glmnet
- SignalProcessing - Signal Processing tools for Julia
- Images - An image library for Julia
-
Haskell
- HLearn - a suite of libraries for interpreting machine learning models according to their algebraic structure.
- hopfield-networks - Hopfield Networks for unsupervised learning in Haskell.
- haskell-ml - Haskell implementations of various ML algorithms.
- hnn - Haskell Neural Network library.
-
Objective C
-
General-Purpose Machine Learning
- MLPNeuralNet - Fast multilayer perceptron neural network library for iOS and Mac OS X. MLPNeuralNet predicts new examples by trained neural network. It is built on top of the Apple's Accelerate Framework, using vectorized operations and hardware acceleration if available.
-
-
Common Lisp
-
Erlang
- Disco - Map Reduce in Erlang
-
Swift
-
General-Purpose Machine Learning
- swix - A bare bones library that
-
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