awesome-repositories.com
المدونة
MCP
awesome-repositories.com

اكتشف أفضل مستودعات المصادر المفتوحة باستخدام بحث مدعوم بالذكاء الاصطناعي.

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

2 مستودعات

Awesome GitHub RepositoriesPlugin Model Managers

Systems for compiling and organizing modular neural network plugins.

Explore 2 awesome GitHub repositories matching artificial intelligence & ml · Plugin Model Managers. Refine with filters or upvote what's useful.

Awesome Plugin Model Managers GitHub Repositories

اعثر على أفضل المستودعات باستخدام الذكاء الاصطناعي.سنبحث عن أفضل المستودعات المطابقة باستخدام الذكاء الاصطناعي.
  • deepfakes/faceswapالصورة الرمزية لـ deepfakes

    deepfakes/faceswap

    55,289عرض على GitHub↗

    Faceswap is a comprehensive framework for automated media manipulation and neural face synthesis. It provides a modular pipeline that manages the entire lifecycle of facial feature extraction, deep learning model training, and image conversion. By coordinating complex computer vision workflows, the system enables users to map facial identities between source and destination datasets while maintaining structural alignment and lighting consistency across video frames. The project distinguishes itself through a highly extensible plugin-based architecture that handles hardware-accelerated process

    Compiles neural network architectures and performs utility tasks like module discovery or input array generation.

    Pythondeep-face-swapdeep-learningdeep-neural-networks
    عرض على GitHub↗55,289
  • stanfordnlp/stanzaالصورة الرمزية لـ stanfordnlp

    stanfordnlp/stanza

    7,809عرض على GitHub↗

    Stanza is a Python natural language processing library designed for tokenization, lemmatization, and dependency parsing across many human languages using neural models. It provides a neural processing pipeline that converts raw text into structured linguistic data objects, alongside a specialized analyzer for extracting medical insights from clinical and biomedical language. The project includes a wrapper that connects Python scripts to Java-based natural language processing tools and remote annotation servers. This enables a bridge for extracting linguistic annotations and analysis data from

    Retrieves and caches language-specific model binaries from remote repositories based on configuration.

    Pythonartificial-intelligencecorenlpdeep-learning
    عرض على GitHub↗7,809
  1. Home
  2. Artificial Intelligence & ML
  3. Machine Learning
  4. Infrastructure
  5. Model Management
  6. Plugin Model Managers