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Merge pull request #630 from tqtg/master
Move Cornac from C++ to Python category
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Joseph Misiti
GitHub
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1 changed files with 120 additions and 99 deletions
219
README.md
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README.md
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@ -23,104 +23,125 @@ Further resources:
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### Frameworks and Libraries
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<!-- MarkdownTOC depth=4 -->
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- [APL](#apl)
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- [General-Purpose Machine Learning](#apl-general-purpose)
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- [C](#c)
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- [General-Purpose Machine Learning](#c-general-purpose)
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- [Computer Vision](#c-cv)
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- [C++](#cpp)
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- [Computer Vision](#cpp-cv)
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- [General-Purpose Machine Learning](#cpp-general-purpose)
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- [Natural Language Processing](#cpp-nlp)
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- [Speech Recognition](#cpp-speech-recognition)
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- [Sequence Analysis](#cpp-sequence)
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- [Gesture Recognition](#cpp-gestures)
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- [Common Lisp](#common-lisp)
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- [General-Purpose Machine Learning](#common-lisp-general-purpose)
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- [Clojure](#clojure)
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- [Natural Language Processing](#clojure-nlp)
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- [General-Purpose Machine Learning](#clojure-general-purpose)
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- [Data Analysis / Data Visualization](#clojure-data-analysis)
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- [Crystal](#crystal)
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- [General-Purpose Machine Learning](#crystal-general-purpose)
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- [Elixir](#elixir)
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- [General-Purpose Machine Learning](#elixir-general-purpose)
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- [Natural Language Processing](#elixir-nlp)
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- [Erlang](#erlang)
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- [General-Purpose Machine Learning](#erlang-general-purpose)
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- [Go](#go)
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- [Natural Language Processing](#go-nlp)
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- [General-Purpose Machine Learning](#go-general-purpose)
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- [Data Analysis / Data Visualization](#go-data-analysis)
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- [Geometry / Spatial Analysis](#go-spatial-analysis)
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- [Computer Vision](#go-computer-vision)
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- [Haskell](#haskell)
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- [General-Purpose Machine Learning](#haskell-general-purpose)
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- [Java](#java)
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- [Natural Language Processing](#java-nlp)
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- [General-Purpose Machine Learning](#java-general-purpose)
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- [Speech Recognition](#java-speech-recognition)
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- [Data Analysis / Data Visualization](#java-data-analysis)
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- [Deep Learning](#java-deep-learning)
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- [Javascript](#javascript)
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- [Natural Language Processing](#javascript-nlp)
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- [Data Analysis / Data Visualization](#javascript-data-analysis)
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- [General-Purpose Machine Learning](#javascript-general-purpose)
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- [Misc](#javascript-misc)
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- [Demos and Scripts](#javascript-demos)
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- [Julia](#julia)
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- [General-Purpose Machine Learning](#julia-general-purpose)
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- [Natural Language Processing](#julia-nlp)
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- [Data Analysis / Data Visualization](#julia-data-analysis)
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- [Misc Stuff / Presentations](#julia-misc)
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- [Lua](#lua)
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- [General-Purpose Machine Learning](#lua-general-purpose)
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- [Demos and Scripts](#lua-demos)
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- [Matlab](#matlab)
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- [Computer Vision](#matlab-cv)
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- [Natural Language Processing](#matlab-nlp)
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- [General-Purpose Machine Learning](#matlab-general-purpose)
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- [Data Analysis / Data Visualization](#matlab-data-analysis)
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- [.NET](#net)
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- [Microsoft ML.NET](https://dotnet.microsoft.com/apps/machinelearning-ai/ml-dotnet)
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- [Computer Vision](#net-cv)
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- [Natural Language Processing](#net-nlp)
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- [General-Purpose Machine Learning](#net-general-purpose)
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- [Data Analysis / Data Visualization](#net-data-analysis)
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- [Objective C](#objectivec)
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- [General-Purpose Machine Learning](#objectivec-general-purpose)
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- [OCaml](#ocaml)
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- [General-Purpose Machine Learning](#ocaml-general-purpose)
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- [Perl](#perl)
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- [Data Analysis / Data Visualization](#perl-data)
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- [General-Purpose Machine Learning](#perl-ml)
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- [Perl 6](#perl6)
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- [PHP](#php)
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- [Natural Language Processing](#php-nlp)
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- [General-Purpose Machine Learning](#php-general-purpose)
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- [Python](#python)
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- [Computer Vision](#python-cv)
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- [Natural Language Processing](#python-nlp)
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- [General-Purpose Machine Learning](#python-general-purpose)
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- [Data Analysis / Data Visualization](#python-data-analysis)
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- [Misc Scripts / iPython Notebooks / Codebases](#python-misc)
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- [Kaggle Competition Source Code](#python-kaggle)
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- [Neural Networks](#python-neural-networks)
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- [Reinforcement Learning](#python-reinforcement-learning)
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- [Ruby](#ruby)
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- [Natural Language Processing](#ruby-nlp)
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- [General-Purpose Machine Learning](#ruby-general-purpose)
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- [Data Analysis / Data Visualization](#ruby-data-analysis)
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- [Misc](#ruby-misc)
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- [Rust](#rust)
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- [General-Purpose Machine Learning](#rust-general-purpose)
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- [R](#r)
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- [General-Purpose Machine Learning](#r-general-purpose)
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- [Data Analysis / Data Visualization](#r-data-analysis)
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- [SAS](#sas)
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- [General-Purpose Machine Learning](#sas-general-purpose)
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- [Data Analysis / Data Visualization](#sas-data-analysis)
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- [Natural Language Processing](#sas-nlp)
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- [Awesome Machine Learning ](#awesome-machine-learning-awesomehttpsgithubcomsindresorhusawesome)
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- [Table of Contents](#table-of-contents)
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- [Frameworks and Libraries](#frameworks-and-libraries)
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- [Tools](#tools)
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- [APL](#apl)
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- [General-Purpose Machine Learning](#general-purpose-machine-learning)
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- [C](#c)
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- [General-Purpose Machine Learning](#general-purpose-machine-learning-1)
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- [Computer Vision](#computer-vision)
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- [C++](#c)
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- [Computer Vision](#computer-vision-1)
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- [General-Purpose Machine Learning](#general-purpose-machine-learning-2)
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- [Natural Language Processing](#natural-language-processing)
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- [Speech Recognition](#speech-recognition)
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- [Sequence Analysis](#sequence-analysis)
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- [Gesture Detection](#gesture-detection)
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- [Common Lisp](#common-lisp)
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- [General-Purpose Machine Learning](#general-purpose-machine-learning-3)
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- [Clojure](#clojure)
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- [Natural Language Processing](#natural-language-processing-1)
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- [General-Purpose Machine Learning](#general-purpose-machine-learning-4)
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- [Data Analysis / Data Visualization](#data-analysis--data-visualization)
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- [Crystal](#crystal)
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- [General-Purpose Machine Learning](#general-purpose-machine-learning-5)
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- [Elixir](#elixir)
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- [General-Purpose Machine Learning](#general-purpose-machine-learning-6)
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- [Natural Language Processing](#natural-language-processing-2)
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- [Erlang](#erlang)
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- [General-Purpose Machine Learning](#general-purpose-machine-learning-7)
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- [Go](#go)
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- [Natural Language Processing](#natural-language-processing-3)
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- [General-Purpose Machine Learning](#general-purpose-machine-learning-8)
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- [Spatial analysis and geometry](#spatial-analysis-and-geometry)
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- [Data Analysis / Data Visualization](#data-analysis--data-visualization-1)
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- [Computer vision](#computer-vision)
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- [Haskell](#haskell)
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- [General-Purpose Machine Learning](#general-purpose-machine-learning-9)
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- [Java](#java)
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- [Natural Language Processing](#natural-language-processing-4)
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- [General-Purpose Machine Learning](#general-purpose-machine-learning-10)
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- [Speech Recognition](#speech-recognition-1)
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- [Data Analysis / Data Visualization](#data-analysis--data-visualization-2)
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- [Deep Learning](#deep-learning)
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- [Javascript](#javascript)
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- [Natural Language Processing](#natural-language-processing-5)
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- [Data Analysis / Data Visualization](#data-analysis--data-visualization-3)
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- [General-Purpose Machine Learning](#general-purpose-machine-learning-11)
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- [Misc](#misc)
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- [Demos and Scripts](#demos-and-scripts)
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- [Julia](#julia)
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- [General-Purpose Machine Learning](#general-purpose-machine-learning-12)
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- [Natural Language Processing](#natural-language-processing-6)
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- [Data Analysis / Data Visualization](#data-analysis--data-visualization-4)
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- [Misc Stuff / Presentations](#misc-stuff--presentations)
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- [Lua](#lua)
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- [General-Purpose Machine Learning](#general-purpose-machine-learning-13)
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- [Demos and Scripts](#demos-and-scripts-1)
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- [Matlab](#matlab)
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- [Computer Vision](#computer-vision-2)
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- [Natural Language Processing](#natural-language-processing-7)
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- [General-Purpose Machine Learning](#general-purpose-machine-learning-14)
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- [Data Analysis / Data Visualization](#data-analysis--data-visualization-5)
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- [.NET](#net)
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- [Computer Vision](#computer-vision-3)
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- [Natural Language Processing](#natural-language-processing-8)
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- [General-Purpose Machine Learning](#general-purpose-machine-learning-15)
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- [Data Analysis / Data Visualization](#data-analysis--data-visualization-6)
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- [Objective C](#objective-c)
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- [General-Purpose Machine Learning](#general-purpose-machine-learning-16)
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- [OCaml](#ocaml)
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- [General-Purpose Machine Learning](#general-purpose-machine-learning-17)
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- [Perl](#perl)
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- [Data Analysis / Data Visualization](#data-analysis--data-visualization-7)
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- [General-Purpose Machine Learning](#general-purpose-machine-learning-18)
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- [Perl 6](#perl-6)
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- [Data Analysis / Data Visualization](#data-analysis--data-visualization-8)
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- [General-Purpose Machine Learning](#general-purpose-machine-learning-19)
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- [PHP](#php)
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- [Natural Language Processing](#natural-language-processing-9)
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- [General-Purpose Machine Learning](#general-purpose-machine-learning-20)
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- [Python](#python)
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- [Computer Vision](#computer-vision-4)
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- [Natural Language Processing](#natural-language-processing-10)
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- [General-Purpose Machine Learning](#general-purpose-machine-learning-21)
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- [Data Analysis / Data Visualization](#data-analysis--data-visualization-9)
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- [Misc Scripts / iPython Notebooks / Codebases](#misc-scripts--ipython-notebooks--codebases)
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- [Neural Networks](#neural-networks)
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- [* Neuron - 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.](#neuron---neuron-is-simple-class-for-time-series-predictions-its-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%e2%80%93marquardt-algorithm)
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- [Kaggle Competition Source Code](#kaggle-competition-source-code)
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- [Reinforcement Learning](#reinforcement-learning)
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- [Ruby](#ruby)
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- [Natural Language Processing](#natural-language-processing-11)
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- [General-Purpose Machine Learning](#general-purpose-machine-learning-22)
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- [Data Analysis / Data Visualization](#data-analysis--data-visualization-10)
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- [Misc](#misc-1)
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- [Rust](#rust)
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- [General-Purpose Machine Learning](#general-purpose-machine-learning-23)
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- [R](#r)
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- [General-Purpose Machine Learning](#general-purpose-machine-learning-24)
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- [Data Analysis / Data Visualization](#data-analysis--data-visualization-11)
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- [SAS](#sas)
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- [General-Purpose Machine Learning](#general-purpose-machine-learning-25)
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- [Data Analysis / Data Visualization](#data-analysis--data-visualization-12)
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- [Natural Language Processing](#natural-language-processing-12)
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- [Demos and Scripts](#demos-and-scripts-2)
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- [Scala](#scala)
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- [Natural Language Processing](#natural-language-processing-13)
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- [Data Analysis / Data Visualization](#data-analysis--data-visualization-13)
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- [General-Purpose Machine Learning](#general-purpose-machine-learning-26)
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- [Scheme](#scheme)
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- [Neural Networks](#neural-networks-1)
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- [Swift](#swift)
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- [General-Purpose Machine Learning](#general-purpose-machine-learning-27)
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- [TensorFlow](#tensorflow)
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- [General-Purpose Machine Learning](#general-purpose-machine-learning-28)
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- [Tools](#tools-1)
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- [Neural Networks](#neural-networks-2)
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- [Misc](#misc-2)
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- [Credits](#credits)
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写个脚本把它们爬下来 - [Demos and Scripts](#sas-demos)
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- [Scala](#scala)
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- [Natural Language Processing](#scala-nlp)
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@ -217,7 +238,6 @@ Further resources:
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* [skynet](https://github.com/Tyill/skynet) - A library for learning neural network, has C-interface, net set in JSON. Written in C++ with bindings in Python, C++ and C#.
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* [Feast](https://github.com/gojek/feast) - A feature store for the management, discovery, and access of machine learning features. Feast provides a consistent view of feature data for both model training and model serving.
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* [Polyaxon](https://github.com/polyaxon/polyaxon) - A platform for reproducible and scalable machine learning and deep learning.
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* [Cornac](https://github.com/PreferredAI/cornac) - A comparative framework for multimodal recommender systems with a focus on models leveraging auxiliary data.
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<a name="cpp-nlp"></a>
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#### Natural Language Processing
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* [numpy-ML](https://github.com/ddbourgin/numpy-ml): Reference implementations of ML models written in numpy
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* [creme](https://github.com/creme-ml/creme): A framework for online machine learning.
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* [Neuraxle](https://github.com/Neuraxio/Neuraxle): A framework providing the right abstractions to ease research, development, and deployment of your ML pipelines.
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* [Cornac](https://github.com/PreferredAI/cornac) - A comparative framework for multimodal recommender systems with a focus on models leveraging auxiliary data.
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<a name="python-data-analysis"></a>
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#### Data Analysis / Data Visualization
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