Showing 9 open source projects for "python-ldap"

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  • MongoDB 8.0 on Atlas | Run anywhere Icon
    MongoDB 8.0 on Atlas | Run anywhere

    Now available in even more cloud regions across AWS, Azure, and Google Cloud.

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  • 1
    Qdrant

    Qdrant

    Vector Database for the next generation of AI applications

    Qdrant is a vector similarity engine & vector database. It deploys as an API service providing search for the nearest high-dimensional vectors. With Qdrant, embeddings or neural network encoders can be turned into full-fledged applications for matching, searching, recommending, and much more! Provides the OpenAPI v3 specification to generate a client library in almost any programming language. Alternatively, utilize ready-made client for Python or other programming languages with additional...
    Downloads: 15 This Week
    Last Update:
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  • 2
    Daft

    Daft

    Distributed DataFrame for Python designed for the cloud

    Daft is a framework for ETL, analytics and ML/AI at scale. Its familiar Python Dataframe API is built to outperform Spark in performance and ease of use. Daft plugs directly into your ML/AI stack through efficient zero-copy integrations with essential Python libraries such as Pytorch and Ray. It also allows requesting GPUs as a resource for running models. Daft runs locally with a lightweight multithreaded backend. When your local machine is no longer sufficient, it scales seamlessly to run out...
    Downloads: 4 This Week
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  • 3
    Tabby

    Tabby

    Self-hosted AI coding assistant

    Tabby is a self-hosted AI coding assistant, offering an open-source and on-premises alternative to GitHub Copilot.
    Downloads: 2 This Week
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  • 4
    Chidori

    Chidori

    A reactive runtime for building durable AI agents

    A reactive runtime for building durable AI agents. Chidori is an open-source orchestrator, runtime, and IDE for building software in symbiosis with modern AI tools. When using Chidori, you author code with python or javascript, we provide a layer for interfacing with the complexities of AI models in long-running workflows. We have avoided the need for declaring a new language or SDK in order to provide these capabilities so that you can leverage software patterns that you are already familiar with.
    Downloads: 0 This Week
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  • Powering the best of the internet | Fastly Icon
    Powering the best of the internet | Fastly

    Fastly's edge cloud platform delivers faster, safer, and more scalable sites and apps to customers.

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  • 5
    llm-chain

    llm-chain

    Rust crate for building chains in large language models

    ... language understanding and generation tasks with Facebook's research models. Incorporates support for Stanford's Alpaca models, expanding the range of available language models for advanced AI applications. Enhance your AI agents' capabilities by giving them access to various tools, such as running Bash commands, executing Python scripts, or performing web searches.
    Downloads: 0 This Week
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  • 6
    Shinkai: Local AI Agents

    Shinkai: Local AI Agents

    Shinkai allows you to create advanced AI (local) agents effortlessly

    Shinkai is a free, open-source AI platform that lets anyone create powerful AI agents without coding. These agents can collaborate with each other, handle complex tasks, and operate in decentralized crypto environments. Key Features: - No-Code Agent Creation - Build specialized agents (trading bots, sentiment trackers, etc.) with simple descriptions - Multi-Agent Collaboration - Agents work together to solve complex problems - Crypto Integration - Built-in support for decentralized...
    Downloads: 8 This Week
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  • 7
    pipeless

    pipeless

    A computer vision framework to create and deploy apps in minutes

    Pipeless is an open-source computer vision framework to create and deploy applications without the complexity of building and maintaining multimedia pipelines. It ships everything you need to create and deploy efficient computer vision applications that work in real-time in just minutes. Pipeless is inspired by modern serverless technologies. It provides the development experience of serverless frameworks applied to computer vision. You provide some functions that are executed for new...
    Downloads: 0 This Week
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  • 8
    ModelFox

    ModelFox

    ModelFox makes it easy to train, deploy, and monitor ML models

    ModelFox makes it easy to train, deploy, and monitor machine learning models. Train a model from a CSV file on the command line. Make predictions from Elixir, Go, JavaScript, PHP, Python, Ruby, or Rust. Learn about your models and monitor them in production from your browser. ModelFox makes it easy to train, deploy, and monitor machine learning models. You can install the modelfox CLI by either downloading the binary from the latest GitHub release or by building from source. Train a machine...
    Downloads: 0 This Week
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  • 9

    Savant

    Python Computer Vision & Video Analytics Framework With Batteries Incl

    Savant is an open-source, high-level framework for building real-time, streaming, highly efficient multimedia AI applications on the Nvidia stack. It helps to develop dynamic, fault-tolerant inference pipelines that utilize the best Nvidia approaches for data center and edge accelerators. Savant is built on DeepStream and provides a high-level abstraction layer for building inference pipelines. It is designed to be easy to use, flexible, and scalable. It is a great choice for building...
    Downloads: 0 This Week
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