Top 20 NuGet learning Packages
C# bindings for NumPy on Win64 - a fundamental library for scientific computing, machine learning and AI. Does require Python 3.7 with NumPy 1.16 installed!
This package contains native shared library artifacts for all supported platforms of ONNX Runtime.
DotNet Core Libraries for Docker Kubernetes development including Machine Learning ML.NET.
Provides Machine Learning WebServices management capabilities for Microsoft Azure.
Language Learning web application with Html5 and Javascript solutions.
The package licensed under Mozilla Pulic License(MPL).
Language Learning demo web application with Html5 and Javascript solutions.
The package licensed under Mozilla Pulic License(MPL).
Terrarium provides a great way for developers to learn about the .NET programming model and language as they develop creatures and introduce them into a peer-to-peer ecosystem.
An easy to use C# implementation of an N-state Markov model.
Leaning.NET is a machine learning framework.
A lightweight, linq-friendly inference library for .NET
Component for creating interactive tours for WPF applications
The core code of the Owl framework
Creating a package for testing
SimpleML provides implementations of basic machine learning algorithms.
Uses N-Grams to categorise text and other data. Useful for processing human-written content.
Extreme Optimization Numerical Libraries for .NET Single-Precision P/Invoke MKL Provider for Linux.
Extreme Optimization Numerical Libraries for .NET P/Invoke MKL Provider for Linux.
Text Analytics and Sentiment Analysis API - allows to perform following: Sentiment analysis, Document classification, Entity extraction, Themes discovery, Keyword analysis, Citation detection, Slang detection..
DyNet is a neural network library developed by Carnegie Mellon University and many others. It is written in C++ (with bindings in Python and C#) and is designed to be efficient when run on either CPU or GPU, and to work well with networks that have dynamic structures that change for every training i...