A machine learning / bayesian inference assigning attributes to objects.
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.
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.
A genomics processing engine and specialized file format built using Apache Avro, Apache Spark and Parquet. Apache 2 licensed.
A machine learning library by Airbnb designed from the ground up to be human friendly.
Open source C# framework for developers and researchers in the fields of Computer Vision and Artificial Intelligence. Development has now shifted to GitHub.
Regularization for semiparametric additive hazards regression. [Deprecated]
Several machine learning and artificial intelligence models are included in the namespace. For instance, you can find Naïve Bayes.
A toolbox of AI modules written in Swift: Graphs/Trees, Linear Regression, Support Vector Machines, Neural Networks, PCA, KMeans, Genetic Algorithms, MDP, Mixture of Gaussians.
А fast and framework agnostic image augmentation library that implements a diverse set of augmentation techniques. Supports classification, segmentation, detection out of the box. Was used to win a number of Deep Learning competitions at Kaggle, Topcoder and those that were a part of the CVPR workshops.
Abstract Algebra for Scala.
, implementation of Support Vector Machines with SVMLight under it. [Deprecated]
Code for Data Science at Olin College, Spring 2014.
Code for Allen Downey's book Think Complexity.
Text and supporting code for Think OS: A Brief Introduction to Operating Systems.
A Python to Vega translator.
There're also some great commercial libraries, like , anychart, plotly, and highchart.
A Java Toolbox for Scalable Probabilistic Machine Learning.