github ml code
Modular neural network library based on Theano.
Spark is a fast and general engine for large-scale data processing.
Book/iPython notebooks on Probabilistic Programming in Python
The Computational Network Toolkit (CNTK) by Microsoft Research, is a unified deep-learning toolkit that describes neural networks as a series of computational steps via a directed graph.
PredictionIO, a machine learning server for software developers and data engineers.
Continually updated Data Science Python Notebooks: Spark, Hadoop MapReduce, HDFS, AWS, Kaggle, scikit-learn, matplotlib, pandas, NumPy, SciPy, and various command lines.
A parallelized optimized general purpose gradient boosting library.
Python bindings for eXtreme Gradient Boosting (Tree) Library
A list of all things related to TensorFlow
Neural networks in JavaScript [Deprecated]
Distributed Deep Learning Platform for Java, Clojure, Scala
Scalable deep learning for industry with parallel GPUs
"I learned Python by hacking first, and getting serious later. I wanted to do this with Machine Learning. If this is your style, join me in getting a bit ahead of yourself."
Tensors and Dynamic neural networks in Python with strong GPU acceleration
OpenAI Gym is a toolkit for developing and comparing reinforcement learning algorithms.
Natural Language processing in the browser
General natural language facilities for node
Deep learning library featuring a higher-level API for TensorFlow.
Interactive Web Plotting for Python.
Implementations of Machine Learning models from scratch in Python with a focus on transparency. Aims to showcase the nuts and bolts of ML in an accessible way.
C-based/Cached/Core Computer Vision Library, A Modern Computer Vision Library
Face recognition library that recognize and manipulate faces from Python or from the command line
Universe is a software platform for measuring and training an AI's general intelligence across the world's supply of games, websites and other applications.
Web mining module for Python.
A Pythonic algorithmic trading library.
Numenta Platform for Intelligent Computing.
Topic Modelling for Humans.
Architecture-free neural network library for Node.js and the browser
Code samples for my book "Neural Networks and Deep Learning" [DEEP LEARNING]
Machine Learning for Go
NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.
Machine Learning library for PHP. Algorithms, Cross Validation, Neural Network, Preprocessing, Feature Extraction and much more in one library.
DeepMind Lab is a 3D learning environment based on id Software's Quake III Arena via ioquake3 and other open source software. Its primary purpose is to act as a testbed for research in artificial intelligence, especially deep reinforcement learning.
A Python library for symbolic mathematics.
A machine learning library by Airbnb designed from the ground up to be human friendly.
Darknet is an open source neural network framework written in C and CUDA. It is fast, easy to install, and supports CPU and GPU computation.
Microsoft's fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
Fuzzy String Matching in Python
Statistical Machine Intelligence & Learning Engine
Lightweight library to build and train neural networks in Theano.
Nervana's high-performance Python-based Deep Learning framework [DEEP LEARNING]
Same API as ggplot2 for R.
A hardware-accelerated machine intelligence library for the web
Simplified interface for TensorFlow, mimicking Scikit Learn.
A fast parallel implementation of Connectionist Temporal Classification (CTC), on both CPU and GPU.
A Scala API for Cascading
Tool that automatically creates and optimizes machine learning pipelines using genetic programming. Consider it your personal data science assistant, automating a tedious part of machine learning.
Approximate nearest neighbours implementation
A Machine Learning library based on Theano.
The Deep Learning GPU Training System (DIGITS) is a web application for training deep learning models.
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.
ML engine that supports distributed learning on Hadoop, Spark or your laptop via APIs in R, Python, Scala, REST/JSON.
Another Python Machine Learning Library.
Recipes for using Python's pandas library
Statistical modeling and econometrics in Python.
A library for processing Chinese text.
Breeze is a numerical processing library for Scala.
NumPy and Pandas interface to Big Data.
A Python to Vega translator.
Streaming MapReduce with Scalding and Storm
Real-time Query for Hadoop
A collection of algorithms for image processing in Python.
A JavaScript implementation of Twitter's text processing library
A dynamic neural network library working well with networks that have dynamic structures that change for every training instance. Written in C++ with bindings in Python.
This package contains the matlab implementation of the algorithms described in the book Pattern Recognition and Machine Learning by C. Bishop.
Distributed, masterless, high performance, fault tolerant data processing. Written entirely in Clojure.
Abstract Algebra for Scala
A JavaScript implementation of descriptive, regression, and inference statistics. Implemented in literate JavaScript with no dependencies, designed to work in all modern browsers (including IE) as well as in Node.js.
The Shogun Machine Learning Toolbox
The Shogun Machine Learning Toolbox
Reading Wikipedia to answer open-domain questions
An API for plotting in Jupyter (IPython)
C, C++, and Python tools for named entity recognition and relation extraction
GPU-based high-performance interactive OpenGL 2D/3D data visualization library
Evolutionary algorithm framework.
Extensible system for analyzing and manipulating natural language
a suite of libraries for interpreting machine learning models according to their algebraic structure.
A machine learning API and server written in C++11. It makes state of the art machine learning easy to work with and integrate into existing applications.
Text REtrieval and Annotation Toolkit, definitely the most comprehensive toolkit I’ve encountered so far for Ruby
Fast, flexible and fun neural networks. This is the successor of PyBrain.
IPython notebooks from Data School's video tutorials on scikit-learn.
Distributed machine learning
Fast Neural Networks framework built on top of Metal. Supports TensorFlow models.
A plotting library for Python, based on D3.js.
TensorDebugger (TDB) is a visual debugger for deep learning. It features interactive, node-by-node debugging and visualization for TensorFlow.
Lambda Architecture Framework using Apache Spark and Apache Kafka with a specialization for real-time large-scale machine learning.
GPU-Accelerated Deep Learning Library in Python.
Open source Python module for computer vision
Deep Learning In Python
Crafty statistical graphics for Julia.
A library consisting of useful tools for data science and machine learning tasks.
Neural Network package for Torch
Vector and Matrix math for JavaScript.
Deep Learning framework for Julia inspired by Caffe
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.
Rendering beautiful SVG maps in Python.
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.
A Python library for implementing a Recommender System.
framework for torch which provides a set of abstractions aiming at encouraging code re-use as well as encouraging modular programming
Machine Learning framework for rapid development of Machine Learning and Statistical applications
A visualization library for quick and easy generation of common plots in data analysis and machine learning.
A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling
A flexible, fast recommender engine.
A Recurrent Neural Network library that extends Torch's nn. RNNs, LSTMs, GRUs, BRNNs, BLSTMs, etc.
A python framework to transform natural language questions to queries in a database query language
CPU and GPU-accelerated Machine Learning Library.
A pure-python graphics and GUI library built on PyQt4 / PySide and NumPy.
Business Intelligence (BI) in Python (Pandas web interface)
Neural networks, regression and feature learning in Clojure.
Python implementation of many of the artificial intelligence algorithms described on the book "Artificial Intelligence, a Modern Approach". It focuses on providing an easy to use, well documented and tested library.
a python library for doing approximate and phonetic matching of strings.
The Python ensemble sampling toolkit for affine-invariant MCMC.
Book on Bayesian Analysis
Code repository for Think Bayes.
A genomics processing engine and specialized file format built using Apache Avro, Apache Spark and Parquet. Apache 2 licensed.
Curated link list for practical natural language processing in Ruby.
Natural Language Processing in Clojure (opennlp)
A library that does auto linking and extraction of usernames, lists and hashtags in tweets
A general classifier module to allow Bayesian and other types of classifications.
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.
A DSL for deep neural networks
A toolbox framework of AI modules written in Swift: Graphs/Trees, Linear Regression, Support Vector Machines, Neural Networks, PCA, KMeans, Genetic Algorithms, MDP, Mixture of Gaussians.
Curated list of ML related resources for Ruby
Multilingual text (NLP) processing toolkit
Restricted Boltzmann Machines in Python. [DEEP LEARNING]
Markov Chain Monte Carlo sampling toolkit.
Machine learning toolkit focused on supervised classification.
A python library for working with Probabilistic Graphical Models.
Ensembles of decision trees in go/Golang.
H2O and Spark interoperability.
a Scala library for constructing probabilistic models.
Autograd automatically differentiates native Torch code. Inspired by the original Python version.
A bare bones library that
A state-of-the-art generic dense feature extractor
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.
Python wrapper for Stanford CoreNLP
Machine learning and numerical analysis tools for Node.js and the Browser!
a pure-rust machine learning library.
higher-level NLP built on Spacy
Naive Bayesian Classification for Golang.
ViZDoom allows developing AI bots that play Doom using only the visual information (the screen buffer). It is primarily intended for research in machine visual learning, and deep reinforcement learning, in particular.
Reinforcement learning using Markov Decision Processes
A dashboard library for interactive visualizations using flask socketio and react.
Map-Reduce for Clojure.
an IPython-based environment for conducting data-driven research in a consistent and reproducible way. REP is not trying to substitute scikit-learn, but extends it and provides better user experience.
Digital Neural Networks Architecture
The Gesture Recognition Toolkit (GRT) is a cross-platform, open-source, C++ machine learning library designed for real-time gesture recognition.
Chinese Words Segmentation Utilities.
Winning solution for the Galaxy Challenge on Kaggle
library for working with tabular data in Julia
Automated machine learning for production and analytics. Lets you focus on the fun parts of ML, while outputting production-ready code, and detailed analytics of your dataset and results. Includes support for NLP, XGBoost, LightGBM, and soon, deep learning.
A wrapper around scikit-learn that makes it simpler to conduct experiments.
A Java implementation of Twitter's text processing library
MeTA : ModErn Text Analysis is a C++ Data Sciences Toolkit that facilitates mining big text data.
A javascript library containing a collection of least squares fitting methods for finding a trend in a set of data.
Tools for exploratory data analysis in Python.
Class on machine w/ PDF, lectures, code
Simple, realtime visualization of neural network training performance.
A deep learning library designed for streamlining research and development using the Torch7 distribution. It emphasizes flexibility through the elegant use of object-oriented design patterns.
Distributed decision tree ensemble learning in Scala
Multi-population, flexible, parallel genetic algorithm.
Koc University Deep Learning Framework
Automated machine learning, data formatting, ensembling, and hyperparameter optimization for competitions and exploration- just give it a .csv file!
Configurable Neural Networks in Haskell
Scalable Machine Learning in Scalding
The iOS and OS X neural network framework
A highly-modular C++ machine learning library for embedded electronics and robotics.
Ruby - R bridge
A Python module for metric learning.
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.
Pandas on PySpark (POPS)
object oriented model of the human brain
Machine learning for NeuroImaging in Python
The first neural network / machine learning library written in Swift. This is a project for AI algorithms in Swift for iOS and OS X development. This project includes algorithms focused on Bayes theorem, neural networks, SVMs, Matrices, etc..
A lightweight framework for data analysis in JavaScript
Unified interface to ggplot2 popular R packages.
A Simple Bayes / Naive Bayes implementation in Elixir.
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, but also ARPA language models, Moses phrasetables, GIZA++ alignments.
RustNN is a feedforward neural network library.
C++ Neural Network library for Node.js. It has advantage on large dataset and multi-threaded training.
Text and supporting code for Think OS: A Brief Introduction to Operating Systems.
A set of tools for creating and testing machine learning features, with a scikit-learn compatible API
Genetic algorithm framework.
A Julia package for probability distributions and associated functions.
GoNN is an implementation of Neural Network in Go Language, which includes BPNN, RBF, PCN
The Classical Language Toolkit
Tools for writing, submitting, debugging, and monitoring Storm topologies in pure Python.
Ruby language bindings for LIBSVM which is a Library for Support Vector Machines
This package provides graphical computation for nn library in Torch7.
Torch CUDA Implementation
Chalk is a natural language processing library.
VIGRA is a generic cross-platform C++ computer vision and machine learning library for volumes of arbitrary dimensionality with Python bindings.
Python bindings for the VIGRA C++ computer vision library.
a machine learning framework featuring logistic regression, support vector machines, decision trees and random forests.
CPU and GPU-accelerated matrix library intended to support large-scale exploratory data analysis.
Support Vector Machine for Node.js
Expose libstemmer_c to Ruby
General Machine Learning library using Numenta’s Cortical Learning Algorithm
Python package for Bayesian Machine Learning with scikit-learn API
The Push programming language and the PushGP genetic programming system implemented in Clojure
Neural Networks written in go
Many useful features that aren't part of the main nn package.
An optimization library for Torch. SGD, Adagrad, Conjugate-Gradient, LBFGS, RProp and more.
FANN (Fast Artificial Neural Network Library) bindings for Node.js
JRuby Mahout is a gem that unleashes the power of Apache Mahout in the world of JRuby.
Text processing tools and wrappers (e.g. Vowpal Wabbit)
LDA topic modeling for Node.js
Inference and machine learning in Clojure
General Machine Learning library using Numenta’s Cortical Learning Algorithm
An image library for Julia
Torch CUDA Neural Network Implementation
Simple machine learning library, including Perceptron, Regression, Support Vector Machine, Decision Tree and more, it's easy to use and easy to learn for beginners.
A python package for data exploration and data analysis.
A high performance software library developed by Intel and optimized for Intel's architectures. Library provides algorithmic building blocks for all stages of data analytics and allows to process data in batch, online and distributed modes.
Rails-like inflection library for Clojure and ClojureScript
Genetic Algorithms library written in Go / Golang
Self Organizing Map written in Python (Uses neural networks for data analysis).
Two data science utilities in R from Microsoft: 1) Interactive Data Exploration, Analysis, and Reporting (IDEAR) ; 2) Automated Modeling and Reporting (AMR).
A Chinese segment base on Conditional Random Field.
Generalized linear models in Julia
deeplearn-rs provides simple networks that use matrix multiplication, addition, and ReLU under the MIT license.
BLLIP Natural Language Parser (also known as the Charniak-Johnson parser)
NodeJS Implementation of Decision Tree using ID3 Algorithm
A machine learning library for Clojure built on top of Weka and friends
Linear / Logistic regression, Neural Networks, Collaborative Filtering and Gaussian Multivariate Distribution
Clojure wrapper for Encog (v3) (Machine-Learning framework that specializes in neural-nets)
Graph modeling and analysis
A C library for product recommendations/suggestions using collaborative filtering (CF).
Optimization library focused on machine learning, pythonic implementations of gradient descent, LBFGS, rmsprop, adadelta and others
A native Go clean room implementation of the Porter Stemming algorithm.
Julia package for text analysis
Markov chain Monte Carlo (MCMC) for Bayesian analysis in Julia
Functionally composable Machine Learning library using Numenta’s Cortical Learning Algorithm
Julia implementation of the scikit-learn API
Kaggle Submission for "Detecting Insults in Social Commentary"
An English (Porter2) stemming implementation in Elixir.
Deep learning made easy
https://github.com/zueve/neurolab
A data management tool for humans
Scala Library/REPL for Machine Learning Research
OCaml bindings for TensorFlow.
Natural language Understanding Toolkit
Clojure A/B testing library
scalding powered machine learning
Massively parallel self-organizing maps: accelerate training on multicore CPUs, GPUs, and clusters, has python API.
Sentiment classifier using word sense disambiguation.
A Machine Learning framework for Objective-C and Swift (OS X / iOS).
The ClearNLP project provides software and resources for natural language processing. The project started at the Center for Computational Language and EducAtion Research, and is currently developed by the Center for Language and Information Research at Emory University. This project is under the Apache 2 license.
a service for deployment Apache Spark MLLib machine learning models as realtime, batch or reactive web services.
a service for deployment Apache Spark MLLib machine learning models as realtime, batch or reactive web services.
a service for deployment Apache Spark MLLib machine learning models as realtime, batch or reactive web services.
A package to manipulate manifolds
A set of functions to support the development of machine learning algorithms
and subsemble - Multi-algorithm ensemble learning packages.
A Julia package for fitting (statistical) mixed-effects models
A completely unstable and experimental package that extends Torch's builtin nn library
Bioinformatics for the Scala programming language
Flexible Deep Learning Framework in Julia
A genetic programming library for Clojure
Metaprogramming tools for DataFrames
Theano based library for deep and recurrent neural networks
A complete object-oriented environment for machine learning in Matlab.
A package for unsupervised learning in Torch. Provides modules that are compatible with nn (LinearPsd, ConvPsd, AutoEncoder, ...), and self-contained algorithms (k-means, PCA).
Decision Tree Classifier and Regressor
Random forests implementation in Go
Kalman filter for Javascript.
Topic modelling toolkit
Basic functions for clustering data: k-means, dp-means, etc.
A simple Machine Learning Framework written in Swift. Currently features Simple Linear Regression, Polynomial Regression, and Ridge Regression.
Node.js library with support for both simple and multiple linear regression.
Time series toolkit for Julia
A recommendation engine library for Python
Series of notebooks for learning scikit-learn
eXtreme Gradient Boosting Package in Julia
A simple Multi-armed Bandit library.
Graph library for Go/Golang language.
A sentence aligner, a friendly tool for extracting parallel sentences from comparable corpora.
Swift Language Bindings of TensorFlow. Using native TensorFlow models on both macOS / Linux.
Digital Signal Processing (filtering, periodograms, spectrograms, window functions).
Julia Machine Learning library
In-memory n-gram index with compression.
Bolt Online Learning Toolbox
Example code and materials that illustrate applications of SAS machine learning techniques.
Word Embeddings: the full implementation of word2vec, GloVe in Go.
A library for machine learning that builds predictions using a linear regression.
An all-in-one NuPIC Hierarchical Temporal Memory visualization and debugging super-tool!
Python bindings for Regularized Greedy Forest (Tree) Library.
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.
Code for Allen Downey's book Think Complexity.
Source code and supporting content for my Ruby Manor presentation on Data Visualisation with Ruby
C++ library, command line tools, and Python binding for extracting and working with basic linguistic constructions such as n-grams and skipgrams in a quick and memory-efficient way.
Python binding to C++ library for extracting and working with with basic linguistic constructions such as n-grams and skipgrams in a quick and memory-efficient way.
Presentations for JuliaCon
IPython notebooks for a complete course around understanding Nervana's Neon
Clojure Data Visualisation library, based on Statistiker and D3
Julia package for loading many of the data sets available in R
Code for Kaggle Dogs vs. Cats competition
Julia artificial neural networks
Code for the Kaggle acquire valued shoppers challenge
Code for the Kaggle acquire valued shoppers challenge
Basic Machine Learning algorithms in Clojure.
Predicting job salaries from ads - a Kaggle competition
Library for calculating great circle distance.
Library for calculating great circle distance.
Pattern recognition package in Go lang.
Hypothesis tests for Julia
Bayesian Inference Tools in Python
Javascript implementation of logistic regression/c4.5 decision tree
Data structures that allow missing values
Haskell implementations of various ML algorithms.
Read files from Stata, SAS, and SPSS
.
Levenshtein and Hamming distance computation
Ruby port of UEALite Stemmer - a conservative stemmer for search and indexing
Statistics kit for JavaScript
Julia package for Gaussian processes
Graph layout algorithms in pure Julia
Linear Regression library.
Hadoop/HDFS
Simple Javascript implementation of the k-means algorithm, for node.js and the browser
Algorithms for regression analysis (e.g. linear regression and logistic regression)
A Julia framework for probabilistic graphical models.
Code for the CIFAR-10 competition at Kaggle, uses cuda-convnet
Predicting closed questions on Stack Overflow
Torch-SVM library
A plotting library in Ruby built on top of Vega and D3.
Example code and materials that illustrate techniques for integrating SAS with other analytics technologies in Java, PMML, Python and R.
A neural network in Julia
Tweets Sentiment Analyzer
Bayesian bandit implementation for Node and the browser.
JavaScript implementation of the k nearest neighbors algorithm for supervised learning
A Julia package for non-negative matrix factorization
Python interface for converting Penn Treebank trees to Stanford Dependencies.
Scripts to load several popular datasets including:
statistics, data mining and machine learning toolbox in Java
Python bindings for ZPar, a statistical part-of-speech-tagger, constiuency parser, and dependency parser for English.
An Objective-C multilayer perceptron library, with full support for training through backpropagation. Implemented using vDSP and vecLib, it's 20 times faster than its Java equivalent. Includes sample code for use from Swift.
Simple plotting for Python. Wrapper for D3xterjs; easily render charts in-browser.
Some Machine Learning algorithms, implemented in Ruby
Unicode-aware regular-expression based tokenizer for various languages. Tool and C++ library. Supports FoLiA format.
Clustering algorithms implemented in Javascript for Node.js and the browser
Graph package for Torch
It implemented 3 layers neural network ( Input Layer, Hidden Layer and Output Layer ) and it named Back Propagation Neural Network (BPN). This network can be used in products recommendation, user behavior analysis, data mining and data analysis.
Memory-based NLP suite developed for Dutch: PoS tagger, lemmatiser, dependency parser, NER, shallow parser, morphological analyzer.
SVM's for Julia
Kernel density estimators for julia
Code for Data Science at Olin College, Spring 2014.
Library of SAS Enterprise Miner process flow diagrams to help you learn by example about specific data mining topics.
Go binding for MXNet c_predict_api to do inference with pre-trained model
Numpy's randomkit, wrapped for Torch
Plug-and-play, parallel Go framework for NeuroEvolution of Augmenting Topologies (NEAT)
Cephes mathematical functions library, wrapped for Torch. Provides and wraps the 180+ special mathematical functions from the Cephes mathematical library, developed by Stephen L. Moshier. It is used, among many other places, at the heart of SciPy.
Julia module for Distance evaluation
TopicModels for Julia
Montague is a semantic parsing library for Scala with an easy-to-use DSL.
implementation of the hdbscan algorithm in Python - used for clustering
This is an objected-oriented framework that facilitates the integration of probabilistic models for sequences over a user defined alphabet.
Simple, concise implementations of machine learning techniques and utilities in Clojure.
Amazon access control challenge
Methods for dimensionality reduction
Python binding to ucto (a unicode-aware rule-based tokenizer for various languages)
MCMC tools for Julia
A Julia package for manifold learning and nonlinear dimensionality reduction
it implemented multi-perceptrons neural network (???????????) based on Back Propagation Neural Network (BPN) and designed unlimited-hidden-layers.
Python implementation of cover trees, near-drop-in replacement for scipy.spatial.kdtree
Simple machine learning algorithm.
FANN (Fast Artifical Neural Network) binding.
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
Golang implementation of the Paice/Husk Stemming Algorithm.
Large scale Gaussian Mixture Models
Scripts to generate a dataset with static frames from the Arcade Learning Environment
Data management utilities for Scala
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.
Some experiments with the coordinate descent algorithm used in the (Sparse) Group Lasso model
A web-based visualization and debugging platform for NuPIC.
It implemented K-Means the clustering and classification algorithm. It could be used in data mining and image compression.
Python binding to Frog, an NLP suite for Dutch. (pos tagging, lemmatisation, dependency parsing, NER)
Hopfield Networks for unsupervised learning in Haskell.
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Easy to install and use deep learning Faster R-CNN face detection for images and video in a docker container.
Implementation of image to image (pix2pix) translation from the paper by isola et al.[DEEP LEARNING]
Neuron is simple class for time series predictions. It's utilize LNU (Linear Neural Unit), QNU (Quadratic Neural Unit), RBF (Radial Basis Function), MLP (Multi Layer Perceptron), MLP-ELM (Multi Layer Perceptron - Extreme Learning Machine) neural networks learned with Gradient descent or LeLevenberg–Marquardt algorithm.
Naive Bayesian Classifier implementation in APL
Local regression, so smooooth!
Music Tagging scripts for torch7
Biologically-Inspired and Machine Learning Algorithms in Python.
Predicting wine quality
Example code and materials that illustrate using neural networks with several hidden layers in SAS.
basic mcmc sampler implemented in Julia
Receiver Operating Characteristics and functions for evaluation probabilistic binary classifiers
It is a non-supervisor and self-learning algorithm (adjust the weights) in neural network of Machine Learning.
Code for Accelerometer Biometric Competition at Kaggle
Unsupervised machine learning with multivariate Gaussian mixture model
It implemented Fuzzy C-Means (FCM) the fuzzy clustering / classification algorithm on Machine Learning. It could be used in data mining and image compression.
A Python extension module wrapping the full TiMBL C++ programming interface. Timbl is an elaborate k-Nearest Neighbours machine learning toolkit.
A Kaggle competition: discriminate gender based on handwriting
C++ library for the FoLiA format
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.
A package for feature extraction in Torch. Provides SIFT and dSIFT modules.
Topic Modeling the Sarah Palin emails.
Very simple implementation of neural networks for dummies in python without using any libraries, with detailed comments.
Snowball Stemmer for Go.
An implementation of Dell Zhang's solution to Wikipedia's Participation Challenge on Kaggle
A header-only C++11 Neural Network library. Low dependency, native traditional chinese document.
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.
IPython notebooks for EEG/MEG data processing using mne-python
A hybrid recommender system based upon scikit-learn algorithms.
Julia package for Regularized Discriminant Analysis
library for working with tabular data in Julia
Statistical tests for Julia
Transcode sentence (or other sequence) to list of word vector
Merck challenge at Kaggle
Code for the Best Buy competition at Kaggle
Simple Naive Bayes implementation in Julia
code and tools around integral images. A library for finding interest points based on fast integral histograms.
allows us to use hugin to stitch images and apply same stitching to a video sequence
A bundle adjustment/structure from motion package
Signal Processing tools for Julia
FFI Wrapper for liblbfgs
A lua wrapper around the Locality sensitive hashing library SHKit
KNN, kernel-weighted average, local linear regression smoothers
A collection of image segmentation algorithms based on diffusion methods
An old vowpalwabbit interface to torch.
Spaghetti (sparse linear) module for torch7 by @MichaelMathieu
SciPy tutorials. This is outdated, check out scipy-lecture-notes