awesome-repositories.com
المدونة
awesome-repositories.com

اكتشف أفضل مستودعات المصادر المفتوحة باستخدام بحث مدعوم بالذكاء الاصطناعي.

استكشفعمليات بحث منسقةبدائل مفتوحة المصدربرمجيات ذاتية الاستضافةالمدونةخريطة الموقع
المشروعحولكيفية ترتيب النتائجالصحافةخادم MCP
قانونيالخصوصيةالشروط
© 2026 Bringes Technology SRL·VAT RO45896025·hello@awesome-repositories.com
·

3 مستودعات

Awesome GitHub RepositoriesModel Serving Platforms

Infrastructure for deploying, scaling, and managing machine learning model inference services.

Distinguishing note: Focuses on the operational deployment and scaling of models, distinct from the model development process.

Explore 3 awesome GitHub repositories matching devops & infrastructure · Model Serving Platforms. Refine with filters or upvote what's useful.

Awesome Model Serving Platforms GitHub Repositories

اعثر على أفضل المستودعات باستخدام الذكاء الاصطناعي.سنبحث عن أفضل المستودعات المطابقة باستخدام الذكاء الاصطناعي.
  • tabbyml/tabbyالصورة الرمزية لـ TabbyML

    TabbyML/tabby

    33,605عرض على GitHub↗

    Tabby is a self-hosted AI coding assistant designed to provide real-time code completion and interactive chat capabilities within development environments. By functioning as a private server application, it allows teams to maintain control over their infrastructure and data while integrating intelligent code generation directly into their existing workflows. The platform distinguishes itself through its repository-aware knowledge retrieval and multi-model orchestration. It indexes local and remote source code repositories and technical documentation into a searchable vector-based knowledge gr

    Manages service replicas and hardware-accelerated infrastructure to handle high-demand coding assistance tasks.

    Rustaicodegencoding-assistant
    عرض على GitHub↗33,605
  • openvinotoolkit/openvinoالصورة الرمزية لـ openvinotoolkit

    openvinotoolkit/openvino

    10,414عرض على GitHub↗

    OpenVINO is an AI inference engine and model serving platform designed to execute optimized deep learning models across CPUs, GPUs, and NPUs through a unified API. It includes a model optimization toolkit for converting, quantizing, and compressing models from various frameworks, alongside a specialized generative AI runtime for large language models. The project distinguishes itself through a plugin-based hardware acceleration layer that maps neural network operations to vendor-specific drivers. It features advanced execution mechanisms such as continuous batching, speculative decoding, and

    Provides a high-performance server to host and expose deep learning and generative AI models via REST and gRPC.

    C++aicomputer-visiondeep-learning
    عرض على GitHub↗10,414
  • lyft/flyteالصورة الرمزية لـ lyft

    lyft/flyte

    7,095عرض على GitHub↗

    Flyte is a distributed machine learning pipeline manager and MLOps workflow engine. It functions as a Kubernetes-native orchestrator used to coordinate data, models, and compute resources for executing machine learning pipelines and autonomous agents at scale. The platform provides specialized infrastructure for the full machine learning lifecycle, including a dedicated model serving platform to deploy trained models as scalable production-ready inference services. It also enables the coordination and state management of autonomous AI agents. The system manages scalable pipeline execution th

    Provides scalable infrastructure for deploying and managing trained machine learning model inference services.

    Go
    عرض على GitHub↗7,095
  1. Home
  2. DevOps & Infrastructure
  3. Model Serving Platforms