234 packages returned for Tags:"learning"

F# extensions to simplify CNTK usage

Full TensorFlow 1.10 API binding for .NET. Comparison with TensorFlowSharp: https://github.com/losttech/Gradient/#why-not-tensorflowsharp Comparison with TensorFlow.NET: https://github.com/losttech/Gradient/#why-not-tensorflow-net Allows building arbitrary machine learning models, training them,... More information

C# library for easy Deep Learning. It is wrapper over C# CNTK API. Has implementation of layers (LSTM, Convolution etc.), optimizers, losses, shortcut-connections, sequential model etc. Contains helpers for work with dataset (split, statistics, SMOTE etc). Allows train, evaluate and inference deep... More information

The core of the Accord.NET Framework. Contains basic classes such as general exceptions and extensions used by other framework libraries.

Microsoft Cognitive Toolkit Libraries, GPU Build

ML.NET is a cross-platform open-source machine learning framework which makes machine learning accessible to .NET developers.

Official Vowpal Wabbit library including C# interface

A fast, distributed, high performance gradient boosting framework

Microsoft.ML.CpuMath contains optimized math routines for ML.NET.

This is a lightweight package which is able to run neural networks with weights from different sources like Keras models.

Microsoft Cognitive Toolkit Libraries, CPU-Only Build

.NET Bindings for TensorFlow

Microsoft.ML.TensorFlow.Redist contains the TensorFlow C library version 1.13.1 redistributed as a NuGet package.

This package contains ONNX Runtime for .Net platforms

Library for implementing Tin Can API (Experience API)

This package contains libraries of the Accord.NET Framework that are NOT available under the LGPL. It currently includes Accord.MachineLearning.GPL, which contains GPL code and thus can only be used inside GPL-compliant applications. Please take extra care before including this library in your... More information

Contains the IDataView system which is a set of interfaces and components that provide efficient, compositional processing of schematized data for machine learning and advanced analytics applications.

FsLab is a combination package that supports doing data science with F#. FsLab includes literate scripting converted to HTML and PDF, and by default references Deedle (a data frame library), FSharp.Data (for data access) and XPlot (for visualization). You can optionally add any other nuget... More information

Microsoft Machine Learning Scoring library for deep learning model inference. Current version of the library supports inferencing on ONNX v1.3 and TensorFlow v1.10.0 models. The library supports CPU execution with MKL/MKLDNN acceleration. Also supports CUDA GPU devices. For CPU execution of ONNX... More information

Provides Machine Learning WebServices management capabilities for Microsoft Azure.