476 packages tagged with “Intelligence”
SimMetrics is a Similarity Metric Library, e.g. from edit distance's (Levenshtein, Gotoh, Jaro etc) to other metrics, (e.g Soundex, Chapman).
Semantic Kernel interfaces and abstractions. This package is automatically installed by Semantic Kernel packages if needed.
Semantic Kernel core orchestration, runtime and functions. This package is automatically installed by 'Microsoft.SemanticKernel' package with other useful packages. Install this package manually only if you are selecting individual Semantic Kernel components.
Semantic Kernel connectors for OpenAI. Contains clients for chat completion, embedding and DALL-E text to image.
Semantic Kernel common package collection, including SK Core, OpenAI, Azure OpenAI, DALL-E 2. Empowers app owners to integrate cutting-edge LLM technology quickly and easily into their apps.
Semantic Kernel connectors for Azure OpenAI. Contains clients for chat completion, embedding and DALL-E text to image.
This is the Microsoft Azure Cognitive Services Form Recognizer client library
Semantic Kernel Agents abstractions. This package is automatically installed by Semantic Kernel Agents packages if needed.
Defines core set of concrete Agent and AgentChat classes, based on the Agent Abstractions.
Semantic Kernel Handlebars Prompt Template Engine
This is the Azure.AI.DocumentIntelligence client library for developing .NET applications with rich experience.
Semantic Kernel Yaml Functions
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.
Semantic Kernel OpenAPI Plugins
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.
Catalyst is a Natural Language Processing library built from scratch for speed. Inspired by spaCy's design, it brings pre-trained models, out-of-the box support for training word and document embeddings, and flexible entity recognition models. You can install language-specific models with the model packages Catalyst.Models.[Language], like: Catalyst.Models.English.
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.
Shared .NET library for Aerospace, Intelligence, and Cyber solutions.
Semantic Kernel Liquid Prompt Template Engine
`NuPIC Core` contains core algorithms for NuPIC (the Numenta Platform for Intelligent Computing), implemented in C++. The source of this project is available at https://github.com/numenta/nupic For more information, see http://numenta.org or the https://github.com/numenta/nupic/wiki For information specific to `NuPIC Core`, please refer to: https://github.com/numenta/nupic.core https://github.com/numenta/nupic/wiki/NuPIC-Architecture
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 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.
Provide tokenizers to allow counting content tokens for text and embeddings
Provide access to Azure OpenAI LLM models in Kernel Memory to generate embeddings and text