awesome-repositories.com
ब्लॉग
MCP
awesome-repositories.com

AI-संचालित खोज के साथ बेहतरीन ओपन-सोर्स रिपॉजिटरी खोजें।

एक्सप्लोर करेंक्यूरेटेड खोजेंओपन-सोर्स विकल्पसेल्फ-होस्टेड सॉफ्टवेयरब्लॉगसाइटमैप
प्रोजेक्टMCP सर्वरहमारे बारे मेंहम रैंकिंग कैसे करते हैंप्रेस
कानूनीगोपनीयताशर्तें
© 2026 Bringes Technology SRL·VAT RO45896025·hello@awesome-repositories.com
·

2 रिपॉजिटरी

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

AI के साथ बेहतरीन रिपॉजिटरी खोजें।हम AI का उपयोग करके सबसे सटीक रिपॉजिटरी खोजेंगे।
  • deepfakes/faceswapdeepfakes का अवतार

    deepfakes/faceswap

    55,289GitHub पर देखें↗

    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
    GitHub पर देखें↗55,289
  • stanfordnlp/stanzastanfordnlp का अवतार

    stanfordnlp/stanza

    7,809GitHub पर देखें↗

    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
    GitHub पर देखें↗7,809
  1. Home
  2. Artificial Intelligence & ML
  3. Machine Learning
  4. Infrastructure
  5. Model Management
  6. Plugin Model Managers