313 packages returned for Tags:"deep-learning"

What you have been waiting for. Perform a deep compare of any two .NET objects using reflection. Shows the differences between the two objects.

Contains 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.

Microsoft Cognitive Toolkit Libraries, GPU Build

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

Small Library for fast deep or shallow cloning .NET objects. It allows to copy everything and has a lot of performance tricks for fast copying.

An extensible deep comparison library for .NET

Contains neural learning algorithms such as Levenberg-Marquardt, Parallel Resilient Backpropagation, initialization procedures such as Nguyen-Widrow and other neural network related methods. This package is part of the Accord.NET Framework.

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

Microsoft Cognitive Toolkit Libraries, UWP CPU-Only Build

Deep learning in C#

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

Deep learning library for F#. Provides symbolic model differentiation, automatic differentiation and compilation to CUDA GPUs. Includes optimizers and model blocks used in deep learning. Make sure to set the platform of your project to x64.

Deep learning in C#

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

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

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.

Provides learning algorithms and models for neural net regression and classification.

Deep learning in C#

Deep learning in C#