Machine Learning for .NET

  •        62

Machine Learning Library for .NET. Initial inclusions will be binary and multi-class classification as well as standard clustering algorithms.

http://machine.codeplex.com/

Tags
Implementation
License
Platform

   




Related Projects

sparse - Sparse matrix formats for linear algebra supporting scientific and machine learning applications


Implementations of selected sparse matrix formats for linear algebra supporting scientific and machine learning applications.Machine learning applications typically model entities as vectors of numerical features so that they may be compared and analysed quantitively. Typically the majority of the elements in these vectors are zeros. In the case of text mining applications, each document within a corpus is represented as a vector and its features represent the vocabulary of unique words. A corpus of several thousand documents might utilise a vocabulary of hundreds of thousands (or perhaps even millions) of unique words but each document will typically only contain a couple of hundred unique words. This means the number of non-zero values in the matrix might only be around 1%.

Dclib - Portable C++ library


dlib is a library for developing portable applications dealing with networking, threads, graphical interfaces, data structures, linear algebra, machine learning, XML and text parsing, numerical optimization, Bayesian nets, data compression routines, linked lists, binary search trees, linear algebra and matrix utilities, machine learning algorithms, and many other general utilities.

Accord.NET - Machine learning, Computer vision, Statistics and general scientific computing for .NET


The Accord.NET project provides machine learning, statistics, artificial intelligence, computer vision and image processing methods to .NET. It can be used on Microsoft Windows, Xamarin, Unity3D, Windows Store applications, Linux or mobile.

smile - Statistical Machine Intelligence & Learning Engine


Smile (Statistical Machine Intelligence and Learning Engine) is a fast and comprehensive machine learning, NLP, linear algebra, graph, interpolation, and visualization system in Java and Scala. With advanced data structures and algorithms, Smile delivers state-of-art performance.Smile covers every aspect of machine learning, including classification, regression, clustering, association rule mining, feature selection, manifold learning, multidimensional scaling, genetic algorithms, missing value imputation, efficient nearest neighbor search, etc.

cerebro - Linear algebra library for machine learning


Linear algebra library for machine learning



ai-ml-classes - Stanford Online Classes - Artificial Intelligence and Machine Learning


Stanford Online Classes - Artificial Intelligence and Machine Learning

PacMan-AI - PacMan Machine Learning Artificial Intelligence Project


PacMan Machine Learning Artificial Intelligence Project

H2O - Fast Scalable Machine Learning API For Smarter Applications


H2O is for data scientists and application developers who need fast, in-memory scalable machine learning for smarter applications. H2O is an open source parallel processing engine for machine learning. Unlike traditional analytics tools, H2O provides a combination of extraordinary math, a high performance parallel architecture, and unrivaled ease of use.

gorgonia - Gorgonia is a library that helps facilitate machine learning in Go.


Gorgonia is a library that helps facilitate machine learning in Go. Write and evaluate mathematical equations involving multidimensional arrays easily. If this sounds like Theano or TensorFlow, it's because the idea is quite similar. Specifically, the library is pretty low-level, like Theano, but has higher goals like Tensorflow.The main reason to use Gorgonia is developer comfort. If you're using a Go stack extensively, now you have access to the ability to create production-ready machine learning systems in an environment that you are already familiar and comfortable with.

DeepDetect - Deep Learning Server


DeepDetect is an Instant Machine Learning for your Applications. It can classify images, text and numerical data from your application or the command line by series of simple calls to the deep learning server. A simple yet powerful and generic API for use of Machine Learning.

MACE1.1 - Mathematical program for linear algebra, number theory and algebra. Easy to use.


Mathematical program for linear algebra, number theory and algebra. Easy to use.

Perfect-TensorFlow - TensorFlow C API Class Wrapper in Server Side Swift.


This project is an experimental wrapper of TensorFlow C API which enables Machine Learning in Server Side Swift.This package builds with Swift Package Manager and is part of the Perfect project but can also be used as an independent module.

ai-ml - various ai/machine learning techniques and notes


various ai/machine learning techniques and notes

sbhx-ai - AI and Machine Learning programs from SBHX users


AI and Machine Learning programs from SBHX users

mlcheatsheet - Machine Learning cheat sheet for linear classifiers and clustering algorithms


Machine Learning cheat sheet for linear classifiers and clustering algorithms

Sensorbee - Lightweight stream processing engine for IoT


Sensorbee is designed for low-latency processing of streaming data at the edge of the network. IoT devices frequently generate large volumes of unstructured streaming data, such as video and audio streams. Even if the data streams are structured, they may be meaningless if their temporal characteristics are not considered. Cloud-based services are generally not good at processing these kinds of data. Preprocessing data streams before they are sent to the cloud makes large scale data processing in the cloud more efficient and reduces the usage of network bandwidth.

PredictionIO - Machine Learning Server


PredictionIO is an open source machine learning server for software developers to create predictive features, such as personalization, recommendation and content discovery. It helps to predict user behaviors.

vscode-tools-for-ai - VS Code Tools for AI is an extension to build, test, and deploy Deep Learning / AI solutions


Visual Studio Code Tools for AI is an extension to build, test, and deploy Deep Learning / AI solutions. It seamlessly integrates with Azure Machine Learning for robust experimentation capabilities, including but not limited to submitting data preparation and model training jobs transparently to different compute targets. Additionally, it provides support for custom metrics and run history tracking, enabling data science reproducibility and auditing. Enterprise ready collaboration, allow to securely work on project with other people.Get started with deep learning using Microsoft Cognitive Toolkit (CNTK), Google TensorFlow, or other deep-learning frameworks today.

Aran, an XNA-compliant .NET automated planning framework


Aran is an XNA-compliant .NET automated planning framework developed as its author Bachelor Thesis at Carlos III University of Madrid, under the supervision of the Planning and Learning Group.