machine-learning.md

Bookmarks tagged [machine-learning]

^{www.bookmarks.dev/tagged/machine-learning}

CCV

^{https://github.com/liuliu/ccv}

C-based/Cached/Core Computer Vision Library, A Modern Computer Vision Library. [BSD]

• tags: cpp, machine-learning
• source code

---

Fido

^{https://github.com/FidoProject/Fido}

A highly-modular C++ machine learning library for embedded electronics and robotics. [MIT] website

• tags: cpp, machine-learning
• source code

---

flashlight

^{https://github.com/facebookresearch/flashlight}

A fast, flexible machine learning library from Facebook AI Research written entirely in C++ and based on the ArrayFire tensor library. [BSD-3-Clause] website

• tags: cpp, machine-learning
• source code

---

MeTA

^{https://github.com/meta-toolkit/meta}

A modern C++ data sciences toolkit. [MIT] website

• tags: cpp, machine-learning
• source code

---

Minerva

^{https://github.com/dmlc/minerva}

A fast and flexible system for deep learning. [Apache2]

• tags: cpp, machine-learning
• source code

---

mlpack

^{https://github.com/mlpack/mlpack}

A scalable c++ machine learning library. [LGPLv3] website

• tags: cpp, machine-learning
• source code

---

OpenCV

^{https://github.com/Itseez/opencv}

Open Source Computer Vision Library. [BSD] website

• tags: cpp, machine-learning
• source code

---

Recommender

^{https://github.com/GHamrouni/Recommender}

C library for product recommendations/suggestions using collaborative filtering (CF). [BSD]

• tags: cpp, machine-learning
• source code

---

RNNLIB

^{https://github.com/szcom/rnnlib}

RNNLIB is a recurrent neural network library for sequence learning problems. [GPLv3]

• tags: cpp, machine-learning
• source code

---

SHOGUN

^{https://github.com/shogun-toolbox/shogun}

The Shogun Machine Learning Toolbox. [GPLv3]

• tags: cpp, machine-learning
• source code

---

sofia-ml

^{https://code.google.com/p/sofia-ml/}

The suite of fast incremental algorithms for machine learning. [Apache2]

• tags: cpp, machine-learning

---

VLFeat

^{https://github.com/vlfeat/vlfeat}

The VLFeat open source library implements popular computer vision algorithms specialising in image understanding and local featurexs extraction and matching. [BSD-2-Clause] [website](http://www.vlfeat...

• tags: cpp, machine-learning
• source code

---

About Rust’s Machine Learning Community

^{https://medium.com/@autumn_eng/about-rust-s-machine-learning-community-4cda5ec8a790#.hvkp56j3f}

The conversations on the introduction of the latest Rust Machine Learning crate, which was also the birthplace of the new rust-machine-learning IRC (thanks for the setup, @Argorak) lead to the…

• tags: rust, libraries, artificial-intelligence, machine-learning

---

AtheMathmo/rusty-machine

^{https://github.com/AtheMathmo/rusty-machine}

Machine learning library for Rust

• tags: rust, libraries, artificial-intelligence, machine-learning
• source code

---

avinashshenoy97/RusticSOM

^{https://github.com/avinashshenoy97/RusticSOM}

Rust library for Self Organising Maps (SOM).

• tags: rust, libraries, artificial-intelligence, machine-learning
• source code

---

autumnai/leaf

^{https://github.com/autumnai/leaf}

Open Machine Intelligence framework. . Abandoned project. The most updated fork is [spe...

• tags: rust, libraries, artificial-intelligence, machine-learning
• source code

---

tensorflow/rust

^{https://github.com/tensorflow/rust}

Rust language bindings for TensorFlow.

• tags: rust, libraries, artificial-intelligence, machine-learning
• source code

---

maciejkula/rustlearn

^{https://github.com/maciejkula/rustlearn}

Machine learning crate for Rust.

• tags: rust, libraries, artificial-intelligence, machine-learning
• source code

---

LaurentMazare/tch-rs

^{https://github.com/LaurentMazare/tch-rs}

Rust language bindings for PyTorch.

• tags: rust, libraries, artificial-intelligence, machine-learning
• source code

---

FfDL

^{https://github.com/IBM/FfDL}

Deep Learning Platform offering TensorFlow, Caffe, PyTorch etc. as a Service on Kubernetes

• tags: kubernetes, machine-learning
• source code

---

kubeflow

^{https://github.com/google/kubeflow}

Machine Learning Toolkit for Kubernetes.

• tags: kubernetes, machine-learning
• source code

---

MLT

^{https://github.com/IntelAI/mlt}

Machine Learning Container Templates: easy to use container and kubernetes object templates.

• tags: kubernetes, machine-learning
• source code

---

mxnet-operator

^{https://github.com/deepinsight/mxnet-operator}

Tools for ML/MXNet on Kubernetes.

• tags: kubernetes, machine-learning
• source code

---

Polyaxon

^{https://github.com/polyaxon/polyaxon}

An open source platform for reproducible machine learning and deep learning on kubernetes

• tags: kubernetes, machine-learning
• source code

---

seldon-core

^{https://github.com/SeldonIO/seldon-core}

Open source framework for deploying machine learning models on Kubernetes

• tags: kubernetes, machine-learning
• source code

---

TensorFlow k8s

^{https://github.com/tensorflow/k8s}

Tools for ML/Tensorflow on Kubernetes. Contribute to kubeflow/tf-operator development by creating an account on GitHub.

• tags: kubernetes, machine-learning
• source code

---

bayesian

^{https://github.com/jbrukh/bayesian}

Naive Bayesian Classification for Golang.

• tags: go, machine-learning
• source code

---

CloudForest

^{https://github.com/ryanbressler/CloudForest}

Fast, flexible, multi-threaded ensembles of decision trees for machine learning in pure Go.

• tags: go, machine-learning
• source code

---

eaopt

^{https://github.com/MaxHalford/eaopt}

An evolutionary optimization library.

• tags: go, machine-learning
• source code

---

evoli

^{https://github.com/khezen/evoli}

Genetic Algorithm and Particle Swarm Optimization library.

• tags: go, machine-learning
• source code

---

fonet

^{https://github.com/Fontinalis/fonet}

A Deep Neural Network library written in Go.

• tags: go, machine-learning
• source code

---

go-cluster

^{https://github.com/e-XpertSolutions/go-cluster}

Go implementation of the k-modes and k-prototypes clustering algorithms.

• tags: go, machine-learning
• source code

---

go-deep

^{https://github.com/patrikeh/go-deep}

A feature-rich neural network library in Go.

• tags: go, machine-learning
• source code

---

go-fann

^{https://github.com/white-pony/go-fann}

Go bindings for Fast Artificial Neural Networks(FANN) library.

• tags: go, machine-learning
• source code

---

go-galib

^{https://github.com/thoj/go-galib}

Genetic Algorithms library written in Go / golang.

• tags: go, machine-learning
• source code

---

go-pr

^{https://github.com/daviddengcn/go-pr}

Pattern recognition package in Go lang.

• tags: go, machine-learning
• source code

---

gobrain

^{https://github.com/goml/gobrain}

Neural Networks written in go.

• tags: go, machine-learning
• source code

---

godist

^{https://github.com/e-dard/godist}

Various probability distributions, and associated methods.

• tags: go, machine-learning
• source code

---

goga

^{https://github.com/tomcraven/goga}

Genetic algorithm library for Go.

• tags: go, machine-learning
• source code

---

GoLearn

^{https://github.com/sjwhitworth/golearn}

General Machine Learning library for Go.

• tags: go, machine-learning
• source code

---

golinear

^{https://github.com/danieldk/golinear}

liblinear bindings for Go.

• tags: go, machine-learning
• source code

---

GoMind

^{https://github.com/surenderthakran/gomind}

A simplistic Neural Network Library in Go.

• tags: go, machine-learning
• source code

---

goml

^{https://github.com/cdipaolo/goml}

On-line Machine Learning in Go.

• tags: go, machine-learning
• source code

---

goRecommend

^{https://github.com/timkaye11/goRecommend}

Recommendation Algorithms library written in Go.

• tags: go, machine-learning
• source code

---

gorgonia

^{https://github.com/chewxy/gorgonia}

graph-based computational library like Theano for Go that provides primitives for building various machine learning and neural network algorithms.

• tags: go, machine-learning
• source code

---

gorse

^{https://github.com/zhenghaoz/gorse}

A High Performance Recommender System Package based on Collaborative Filtering for Go.

• tags: go, machine-learning
• source code

---

goscore

^{https://github.com/asafschers/goscore}

Go Scoring API for PMML.

• tags: go, machine-learning
• source code

---

gosseract

^{https://github.com/otiai10/gosseract}

Go package for OCR (Optical Character Recognition), by using Tesseract C++ library.

• tags: go, machine-learning
• source code

---

libsvm

^{https://github.com/datastream/libsvm}

libsvm golang version derived work based on LIBSVM 3.14.

• tags: go, machine-learning
• source code

---

mlgo

^{https://github.com/NullHypothesis/mlgo}

This project aims to provide minimalistic machine learning algorithms in Go.

• tags: go, machine-learning
• source code

---

neat

^{https://github.com/jinyeom/neat}

Plug-and-play, parallel Go framework for NeuroEvolution of Augmenting Topologies (NEAT).

• tags: go, machine-learning
• source code

---

neural-go

^{https://github.com/schuyler/neural-go}

Multilayer perceptron network implemented in Go, with training via backpropagation.

• tags: go, machine-learning
• source code

---

ocrserver

^{https://github.com/otiai10/ocrserver}

A simple OCR API server, seriously easy to be deployed by Docker and Heroku.

• tags: go, machine-learning
• source code

---

onnx-go

^{https://github.com/owulveryck/onnx-go}

Go Interface to Open Neural Network Exchange (ONNX).

• tags: go, machine-learning
• source code

---

probab

^{https://github.com/ThePaw/probab}

Probability distribution functions. Bayesian inference. Written in pure Go.

• tags: go, machine-learning
• source code

---

regommend

^{https://github.com/muesli/regommend}

Recommendation & collaborative filtering engine.

• tags: go, machine-learning
• source code

---

shield

^{https://github.com/eaigner/shield}

Bayesian text classifier with flexible tokenizers and storage backends for Go.

• tags: go, machine-learning
• source code

---

tfgo

^{https://github.com/galeone/tfgo}

Easy to use Tensorflow bindings: simplifies the usage of the official Tensorflow Go bindings. Define computational graphs in Go, load and execute models trained in Python.

• tags: go, machine-learning
• source code

---

Varis

^{https://github.com/Xamber/Varis}

Golang Neural Network.

• tags: go, machine-learning
• source code

---

AI4R

^{https://github.com/sergiofierens/ai4r}

Algorithms covering several Artificial intelligence fields.

• tags: ruby, machine-learning
• source code

---

Awesome Machine Learning with Ruby

^{https://github.com/arbox/machine-learning-with-ruby}

A Curated List of Ruby Machine Learning Links and Resources.

• tags: ruby, machine-learning
• source code

---

PredictionIO Ruby SDK

^{https://github.com/PredictionIO/PredictionIO-Ruby-SDK}

The PredictionIO Ruby SDK provides a convenient API to quickly record your users' behavior and retrieve personalized predictions for them.

• tags: ruby, machine-learning
• source code

---

rb-libsvm

^{https://github.com/febeling/rb-libsvm}

Ruby language bindings for LIBSVM. SVM is a machine learning and classification algorithm.

• tags: ruby, machine-learning
• source code

---

ruby-fann

^{https://github.com/tangledpath/ruby-fann}

Ruby library for interfacing with FANN (Fast Artificial Neural Network).

• tags: ruby, machine-learning
• source code

---

rumale

^{https://github.com/yoshoku/rumale}

A machine learninig library with interfaces similar to Scikit-Learn.

• tags: ruby, machine-learning
• source code

---

weka

^{https://github.com/paulgoetze/weka-jruby}

Machine learning and data mining algorithms for JRuby.

• tags: ruby, machine-learning
• source code

---

H2O

^{https://github.com/h2oai/h2o-3}

Open Source Fast Scalable Machine Learning Platform.

• tags: python, machine-learning
• source code

---

Metrics

^{https://github.com/benhamner/Metrics}

Machine learning evaluation metrics.

• tags: python, machine-learning
• source code

---

NuPIC

^{https://github.com/numenta/nupic}

Numenta Platform for Intelligent Computing.

• tags: python, machine-learning
• source code

---

scikit-learn

^{http://scikit-learn.org/}

The most popular Python library for Machine Learning.

• tags: python, machine-learning

---

Spark ML

^{http://spark.apache.org/docs/latest/ml-guide.html}

Apache Spark's scalable Machine Learning library.

• tags: python, machine-learning

---

vowpal_porpoise

^{https://github.com/josephreisinger/vowpal_porpoise}

A lightweight Python wrapper for Vowpal Wabbit.

• tags: python, machine-learning
• source code

---

xgboost

^{https://github.com/dmlc/xgboost}

A scalable, portable, and distributed gradient boosting library.

• tags: python, machine-learning
• source code

---

ConvNetJS

^{https://github.com/karpathy/convnetjs}

Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser.

• tags: javascript, machine-learning
• source code

---

DN2A

^{https://github.com/dn2a/dn2a-javascript}

Digital Neural Networks Architecture.

• tags: javascript, machine-learning
• source code

---

Brain.js

^{https://github.com/harthur/brain}

Neural networks in JavaScript.

• tags: javascript, machine-learning
• source code

---

Mind.js

^{https://github.com/stevenmiller888/mind}

A flexible neural network library.

• tags: javascript, machine-learning
• source code

---

Synaptic.js

^{https://github.com/cazala/synaptic}

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

• tags: javascript, machine-learning
• source code

---

TensorFlow.js

^{https://js.tensorflow.org}

A JavaScript library for training and deploying ML models in the browser and on Node.js.

• tags: javascript, machine-learning

---

ml5.js

^{https://ml5js.org}

Friendly Machine Learning for the Web.

• tags: javascript, machine-learning

---

Apache Flink

^{https://flink.apache.org}

Fast, reliable, large-scale data processing engine.

• tags: java, machine-learning

---

Apache Mahout

^{https://mahout.apache.org}

Scalable algorithms focused on collaborative filtering, clustering and classification.

• tags: java, machine-learning

---

Apache Spark

^{https://spark.apache.org}

Data analytics cluster-computing framework.

• tags: java, machine-learning

---

DatumBox

^{http://www.datumbox.com}

Provides several algorithms and pre-trained models for natural language processing.

• tags: java, machine-learning

---

DeepDive

^{http://deepdive.stanford.edu}

Creates structured information from unstructured data and integrates it into an existing database.

• tags: java, machine-learning

---

Deeplearning4j

^{https://deeplearning4j.org}

Distributed and multi-threaded deep learning library.

• tags: java, machine-learning

---

H2O

^{https://www.h2o.ai}

Analytics engine for statistics over big data.

• tags: java, machine-learning

---

JSAT

^{https://github.com/EdwardRaff/JSAT}

Algorithms for pre-processing, classification, regression, and clustering with support for multi-threaded execution.

• tags: java, machine-learning
• source code

---

Oryx 2

^{https://github.com/OryxProject/oryx}

Framework for building real-time, large-scale machine learning applications. Includes end-to-end applications for collaborative filtering, classification, regression, and clustering.

• tags: java, machine-learning
• source code

---

Smile

^{https://haifengl.github.io/smile}

The Statistical Machine Intelligence and Learning Engine provides a set of machine learning algorithms and a visualization library.

• tags: java, machine-learning

---

Weka

^{https://www.cs.waikato.ac.nz/ml/weka}

Collection of algorithms for data mining tasks ranging from pre-processing to visualization.

• tags: java, machine-learning

---

awesome-machine-learning

^{https://github.com/josephmisiti/awesome-machine-learning#readme}

A curated list of awesome Machine Learning frameworks, libraries and software. - josephmisiti/awesome-machine-learning

• tags: awesome-list, computer-science, machine-learning
• source code

---

awesome-Machine-Learning-Tutorials

^{https://github.com/ujjwalkarn/Machine-Learning-Tutorials#readme}

machine learning and deep learning tutorials, articles and other resources - ujjwalkarn/Machine-Learning-Tutorials

• tags: awesome-list, computer-science, machine-learning
• source code

---

awesome-machine-learning-with-ruby

^{https://github.com/arbox/machine-learning-with-ruby#readme}

Curated list: Resources for machine learning in Ruby - arbox/machine-learning-with-ruby

• tags: awesome-list, computer-science, machine-learning, ruby
• source code

---

awesome-Awesome-CoreML-Models

^{https://github.com/likedan/Awesome-CoreML-Models#readme}

Largest list of models for Core ML (for iOS 11+). Contribute to likedan/Awesome-CoreML-Models development by creating an account on GitHub.

• tags: awesome-list, computer-science, machine-learning, coreml
• source code

---

awesome-h2o

^{https://github.com/h2oai/awesome-h2o#readme}

A curated list of research, applications and projects built using H2O Machine Learning - h2oai/awesome-h2o

• tags: awesome-list, computer-science, machine-learning, h2o
• source code

---

awesome-dive-into-machine-learning

^{https://github.com/hangtwenty/dive-into-machine-learning#readme}

Dive into Machine Learning with Python Jupyter notebook and scikit-learn! - hangtwenty/dive-into-machine-learning

• tags: awesome-list, machine-learning
• source code

---

Machine Learning From Scratch: The Perceptron Model - YouTube

^{https://www.youtube.com/watch?v=iumlHzoVlJM}

Learn how to build a perceptron model from scratch with Javascript!

• 📆 published on: 2018-02-25
• tags: javascript, machine-learning
• source code

---

機械学習 はじめよう

^{http://gihyo.jp/dev/serial/01/machine-learning}

中谷秀洋，恩田伊織

• tags: free-programming-books-ja, free-programming-books, machine-learning, speech

---

Mahoutで体感する機械学習の実践

^{http://gihyo.jp/dev/serial/01/mahout}

やまかつ

• tags: free-programming-books-ja, free-programming-books, machine-learning, speech

---

Jubatus : オンライン機械学習向け分散処理フレームワーク

^{http://jubat.us/ja/index.html#table-of-contents}

• tags: free-programming-books-ja, free-programming-books, machine-learning, speech

---

The Python Game Book

^{http://thepythongamebook.com/en%3Astart}

• tags: machine-learning, free-programming-books

---

The LION Way: Machine Learning plus Intelligent Optimization

^{http://www.e-booksdirectory.com/details.php?ebook=9575}

• tags: machine-learning, free-programming-books

---

The Elements of Statistical Learning

^{http://www-stat.stanford.edu/~tibs/ElemStatLearn/}

Trevor Hastie, Robert Tibshirani, and Jerome Friedman

• tags: machine-learning, free-programming-books

---

Reinforcement Learning: An Introduction

^{http://webdocs.cs.ualberta.ca/~sutton/book/ebook/the-book.html}

• tags: machine-learning, free-programming-books

---

Probabilistic Models in the Study of Language

^{http://idiom.ucsd.edu/~rlevy/pmsl_textbook/text.html}

(Draft, with R code)

• tags: machine-learning, free-programming-books

---

Neural Networks and Deep Learning

^{http://neuralnetworksanddeeplearning.com}

• tags: machine-learning, free-programming-books

---

Machine Learning, Neural and Statistical Classification

^{http://www1.maths.leeds.ac.uk/~charles/statlog/}

• tags: machine-learning, free-programming-books

---

Machine Learning

^{http://www.intechopen.com/books/machine_learning}

• tags: machine-learning, free-programming-books

---

Learning Deep Architectures for AI

^{http://www.iro.umontreal.ca/~bengioy/papers/ftml_book.pdf}

(PDF)

• tags: machine-learning, free-programming-books

---

Learn Tensorflow

^{https://bitbucket.org/hrojas/learn-tensorflow}

Jupyter Notebooks

• tags: machine-learning, free-programming-books

---

Introduction to Machine Learning

^{http://arxiv.org/abs/0904.3664v1}

Amnon Shashua

• tags: machine-learning, free-programming-books

---

Information Theory, Inference, and Learning Algorithms

^{http://www.inference.phy.cam.ac.uk/itila/}

• tags: machine-learning, free-programming-books

---

Gaussian Processes for Machine Learning

^{http://www.gaussianprocess.org/gpml/}

• tags: machine-learning, free-programming-books

---

Deep Learning

^{http://www.deeplearningbook.org}

Ian Goodfellow, Yoshua Bengio and Aaron Courville

• tags: machine-learning, free-programming-books

---

Bayesian Reasoning and Machine Learning

^{http://web4.cs.ucl.ac.uk/staff/D.Barber/pmwiki/pmwiki.php?n=Brml.HomePage}

• tags: machine-learning, free-programming-books

---

An Introduction to Statistical Learning

^{http://www-bcf.usc.edu/~gareth/ISL/}

Gareth James, Daniela Witten, Trevor Hastie and Robert Tibshirani

• tags: machine-learning, free-programming-books

---

A First Encounter with Machine Learning

^{https://www.ics.uci.edu/~welling/teaching/ICS273Afall11/IntroMLBook.pdf}

(PDF)

• tags: machine-learning, free-programming-books

---

A Course in Machine Learning

^{http://ciml.info/dl/v0_9/ciml-v0_9-all.pdf}

(PDF)

• tags: machine-learning, free-programming-books

---

A Brief Introduction to Neural Networks

^{http://www.dkriesel.com/en/science/neural_networks}

• tags: machine-learning, free-programming-books

---