202 packages tagged with “Kernel”
Contains a matrix extension library, along with a suite of numerical matrix decomposition methods, numerical optimization algorithms for constrained and unconstrained problems, special functions and other tools for scientific applications. This package is part of the Accord.NET Framework.
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.
Contains probability distributions, statistical models and methods such as Linear and Logistic regression, Hidden Markov Models, (Hidden) Conditional Random Fields, Principal Component Analysis, Partial Least Squares, Discriminant Analysis, Kernel methods and functions and many other related techniques. Provides methods for computing variances, standard deviations, averages, and many other statistical measures. This package is part of the Accord.NET Framework.
Simulates our future-planned kernel, Nitrocid Kernel. This package contains Nitrocid API that you can use for your mods.
Naylah.Kernel
Kernel Memory is a Copilot/Semantic Kernel Plugin and Memory Web Service to index and query any data and documents, using LLM and natural language, tracking sources and showing citations. The package contains the interfaces and models shared by all Kernel Memory packages.
The package contains the core logic and abstractions of Kernel Memory, not including extensions.
Azure AI Search connector for Microsoft Kernel Memory, to store and search memory using Azure AI Search vector indexing and semantic features.
Clases del sub sistema principal
Simulates our future-planned kernel
Add Azure AI Document Intelligence to Kernel Memory to extract content from images and documents.
Qdrant connector for Microsoft Kernel Memory, to store and search memory using Qdrant vector indexing and Qdrant features.
Provide tokenizers to allow counting content tokens for text and embeddings
Provide access to OpenAI LLM models in Kernel Memory to generate embeddings and text
Postgres(with pgvector extension) connector for Microsoft Kernel Memory, to store and search memory using Postgres vector indexing and Postgres features.
Azure Queue Storage connector for Microsoft Kernel Memory, to run asynchronous pipelines via Azure Queue Storage queues.
Provide access to Azure OpenAI LLM models in Kernel Memory to generate embeddings and text
Kernel Memory Web Client allows to connect to Kernel Memory Web Service to index and query any data and documents, using LLM and natural language, tracking sources and showing citations.
RabbitMQ connector for Microsoft Kernel Memory, to run asynchronous pipelines via RabbitMQ queues.
Redis connector for Microsoft Kernel Memory, to store and search memory using Redis vector search and other Redis features.
Cpu Usage, the amount of time that the current thread/process has executed in kernel and user mode including async/await scenarios. Works everywhere: Linux, OSX and Windows. Does not require any special permissions. Targets everywhere: Net Framework 2.0-4.8, Net Standard 1.3-2.1, Net Core 1.0+ ...
An example shared kernel project/package for use with Ardalis.CleanArchitecture template. You should probably replace this with your own package!
Elasticsearch connector for Microsoft Kernel Memory, to store and search memory using Elasticsearch vector search and other Elasticsearch features.
Controladores y handlers de framework3
Provide access to OpenAI LLM models in Kernel Memory to generate text
MS SQLServer connector for Microsoft Kernel Memory, to store and search memory using MSSQL.
MongoDb Atlas connector for Microsoft Kernel Memory, to store and search memory records with embeddings, and files.
Collection of text chunkers.
Kernel Memory Plugin allows to use Kernel Memory Service as a Semantic Kernel plugin, to index and query any data and documents, using LLM and natural language, tracking sources and showing citations.
DaisyTech PreTool Kernel