717 packages tagged with “machine”
Enrich Serilog log events with properties from System.Environment.
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 Graph RBAC management (Fluent) capabilities for Microsoft Azure. This package is in low maintenance mode and being phased out. To use the latest Azure SDK for resource management, please see https://aka.ms/azsdk/dotnet/mgmt
ML.NET is a cross-platform open-source machine learning framework which makes machine learning accessible to .NET developers.
Microsoft.ML.CpuMath contains optimized math routines for ML.NET.
This package contains ONNX Runtime for .Net platforms
This package contains native shared library artifacts for all supported platforms of ONNX Runtime.
ML.NET component for LightGBM
Microsoft.ML.Tokenizers contains the implmentation of the tokenization used in the NLP transforms.
ML.NET component for FastTree
The core of the Accord.NET Framework. Contains basic classes such as general exceptions and extensions used by other framework libraries.
Workflow Core is a light weight workflow engine targeting .NET Standard.
Microsoft.ML.Mkl.Redist contains the MKL library redistributed as a NuGet package.
This package contains easy-to-use and high-performance libraries for data analysis and transformation.
Microsoft.ML.TimeSeries contains ML.NET Time Series prediction algorithms. Uses Intel Mkl.
Enrich Serilog log events with Dynamic properties
Microsoft.ML.TensorFlow contains ML.NET integration of TensorFlow.
ML.NET component for Image support
ML.NET component for Microsoft.ML.OnnxRuntime.Managed library
Google's TensorFlow full binding in .NET Standard. Building, training and infering deep learning models. https://tensorflownet.readthedocs.io
Library to manage docker-machine, docker-compose, and docker containers for windows / mac or native linux using netcore or full framework.
The Microsoft.ML.Tokenizers.Data.O200kBase includes the Tiktoken tokenizer data file o200k_base.tiktoken, which is utilized by models such as gpt-4o.
LIBMF, the core computation library for matrix factorization in ML.NET
ML.NET additional learners making use of Intel Mkl.
Microsoft.ML.Vision contains high level APIs for vision tasks like image classification.
Chocolatey is a package manager for Windows (like apt-get but for Windows). It was designed to be a decentralized framework for quickly installing applications and tools that you need. It is built on the NuGet infrastructure currently using PowerShell as its focus for delivering packages from the distros to your door, err computer. Chocolatey is brought to you by the work and inspiration of the community, the work and thankless nights of the [Chocolatey Team](https://github.com/orgs/chocolatey/people), with Rob heading up the direction. You can host your own sources and add them to Chocolatey, you can extend Chocolatey's capabilities, and folks, it's only going to get better. ### Information - [Chocolatey Website and Community Package Repository](https://community.chocolatey.org) - [Mailing List](http://groups.google.com/group/chocolatey) / [Release Announcements Only Mailing List](https://groups.google.com/group/chocolatey-announce) / [Build Status Mailing List](http://groups.google.com/group/chocolatey-build-status) - [Twitter](https://twitter.com/chocolateynuget) / [Facebook](https://www.facebook.com/ChocolateySoftware) / [GitHub](https://github.com/chocolatey) - [Blog](https://blog.chocolatey.org/) / [Newsletter](https://chocolatey.us8.list-manage1.com/subscribe?u=86a6d80146a0da7f2223712e4&id=73b018498d) - [Documentation](https://docs.chocolatey.org/en-us/) / [Support](https://chocolatey.org/support) ### Commands There are quite a few commands you can call - you should check out the [command reference](https://docs.chocolatey.org/en-us/choco/commands). Here are the most common: - Help - choco --help or choco command --help - Search - choco search something - List - choco list - Config - choco config list - Install - choco install baretail - Pin - choco pin windirstat - Outdated - choco outdated - Upgrade - choco upgrade baretail - Uninstall - choco uninstall baretail #### Alternative installation sources: - Install ruby gem - choco install compass -source ruby - Install python egg - choco install sphynx -source python - Install windows feature - choco install IIS -source windowsfeatures #### More For more advanced commands and switches, use `choco --help` or `choco command --help`. You can also look at the [command reference](https://docs.chocolatey.org/en-us/choco/commands), including how you can force a package to install the x86 version of a package. ### Create Packages? We have some great guidance on how to do that. Where? I'll give you a hint, it rhymes with socks! [Docs!](https://docs.chocolatey.org/en-us/create/create-packages) In that mess there is a link to the [PowerShell Chocolatey module reference](https://docs.chocolatey.org/en-us/create/functions).
ML.NET AutoML: Optimizes an ML pipeline for your dataset, by automatically locating the best feature engineering, model, and hyperparameters
The Microsoft.ML.Tokenizers.Data.Cl100kBase class includes the Tiktoken tokenizer data file cl100k_base.tiktoken, which is utilized by models such as GPT-4.
An integration package for ML.NET models on scalable web apps and services.