Awesome Machine Learning
Section: Ruby · Ruby language bindings for LIBSVM which is a Library for Support Vector Machines.
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Ruby language bindings for LIBSVM. SVM is a machine learning and classification algorithm.
Section: Ruby · Ruby language bindings for LIBSVM which is a Library for Support Vector Machines.
Section: Machine Learning · Ruby language bindings for LIBSVM. SVM is a machine learning and classification algorithm.
Section: Kernel methods · Support Vector Machines with Ruby and the LIBSVM library. [dep: bundled]
Section: Machine Learning Libraries · Support Vector Machines with Ruby.
Transpile trained ML models into other languages. sklearn-porter - Transpile trained scikit-learn estimators to C, Java, JavaScript and others. mlflow - Manage the machine learning lifecycle, including experimentation, reproducibility and deployment. skll - Command-line utilities to make it easier…
A curated list of resources dedicated to Natural Language Processing and text processing for Ruby.
A Curated List of Ruby Machine Learning Links and Resources.
Text Retrieval and Annotation Toolkit, definitely the most comprehensive toolkit I’ve encountered so far for Ruby.
This repo is a collection of libraries and conformance tests to standardize parsing of tweet text. It synchronizes development, testing, creating issues, and pull requests for twitter-text's implementations and specification. License: Apache 2.
Machine Learninig toolkit in Ruby with wide range of implemented algorithms (SVM, Logistic Regression, Linear Regression, Random Forest etc.) and interfaces similar to Scikit-Learn in Python.
It Provides Snowball algorithm for stemming purposes.
Linear Algebra, Visualization and Scientific Computing for Ruby.