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AI & Machine Learning · Awesome GitHub Repositories

3 repos

Awesome GitHub RepositoriesAI & Machine Learning

Core components, resources, and utilities supporting the development, deployment, and operation of machine learning models.

Explore 3 awesome GitHub repositories matching artificial intelligence & ml · AI & Machine Learning. Refine with filters or upvote what's useful.

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Awesome AI & Machine Learning GitHub Repositories

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  • AUTOMATIC1111/stable-diffusion-webui

    AUTOMATIC1111/stable-diffusion-webui

    160,701GitHubView on GitHub↗

    Stable Diffusion Web UI is a browser-based interface designed for managing text-to-image generation tasks. It provides a centralized dashboard for controlling generative processes, including native support for multi-stage model architectures to facilitate high-quality image refinement. The platform distinguishes itsel

    Pythonaiai-artdeep-learning
  • deepseek-ai/DeepSeek-V3

    deepseek-ai/DeepSeek-V3

    101,631GitHubView on GitHub↗

    DeepSeek-V3 is a large language model that provides comprehensive resources for model utilization, including technical specifications, pre-trained weights, and evaluation benchmarks. The project details the core transformer architecture, including parameter counts and multi-token prediction modules, while supporting na

    Python
  • infiniflow/ragflow

    infiniflow/ragflow

    73,425GitHubView on GitHub↗

    This project is a comprehensive retrieval-augmented generation platform designed for building, managing, and deploying knowledge-based AI applications. It provides a unified environment for organizing datasets, configuring conversational chat assistants, and developing autonomous agents that execute multi-step reasonin

    Pythonagentagenticagentic-ai

Explore sub-tags

  • Academic Citation GuidelinesFormal requirements for citing and attributing machine learning models in research.
  • Chat and API AccessInterfaces providing access to AI models through either interactive chat or programmatic API endpoints.
  • Deployment Guides1 sub-tagDocumentation for setting up and running models in local environments.
  • Document Knowledge Extraction
Processes unstructured data to extract structured knowledge for retrieval.
  • Graph-Based Knowledge IndexersSystems that index data into knowledge graphs for enhanced reasoning.
  • Hardware AcceleratorsSupport for specialized hardware for model inference.
  • Inference FrameworksSoftware libraries for deploying and serving machine learning models.
  • Licensing InformationLegal terms and usage rights for models.
  • Model WeightsAccess points for pre-trained model parameters.