Showing 4 open source projects for "aosp-project-mido"

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    MongoDB Atlas runs apps anywhere

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    Auth0 B2B Essentials: SSO, MFA, and RBAC Built In

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  • 1
    rust-bert

    rust-bert

    Rust native ready-to-use NLP pipelines and transformer-based models

    ...It also includes tokenization utilities, model architectures, and task-specific pipelines that simplify the development of NLP applications. Because Rust is known for its safety and performance, this project enables developers to deploy modern NLP models in production systems written in Rust.
    Downloads: 0 This Week
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  • 2
    shimmy

    shimmy

    Python-free Rust inference server

    The shimmy project is a lightweight local inference server designed to run large language models with minimal overhead. Written primarily in Rust, the tool provides a small standalone binary that exposes an API compatible with the OpenAI interface, allowing existing applications to interact with local models without significant code changes. This compatibility enables developers to replace remote AI services with locally hosted models while keeping their existing software architecture intact. ...
    Downloads: 2 This Week
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  • 3
    SIG Rust

    SIG Rust

    Rust language bindings for TensorFlow

    ...It includes setup instructions that explain how the crate can automatically download or compile the required TensorFlow shared libraries, which lowers the barrier to getting started. The project also supports environments where TensorFlow is already installed, giving developers more flexibility in how they configure their systems. Documentation, community discussion resources, and versioned releases indicate that the repository is maintained as a serious language binding.
    Downloads: 0 This Week
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  • 4
    hora

    hora

    Efficient approximate nearest neighbor search algorithm collections

    hora is an open-source high-performance vector similarity search library designed for large-scale machine learning and information retrieval systems. The project focuses on approximate nearest neighbor search, a fundamental technique used in modern AI applications such as recommendation systems, image search, and semantic search engines. Hora implements multiple efficient indexing algorithms that allow systems to rapidly search through high-dimensional vectors produced by machine learning models. ...
    Downloads: 0 This Week
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