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Machine Learning Runtimes · Awesome GitHub Repositories

3 repos

Awesome GitHub RepositoriesMachine Learning Runtimes

Execution environments that manage the loading and processing of machine learning models during inference.

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

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Awesome Machine Learning Runtimes GitHub Repositories

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  • vllm-project/vllm

    vllm-project/vllm

    70,745GitHubView on GitHub↗

    vLLM is a high-throughput inference engine designed for the efficient serving and execution of large language models. It functions as a production-ready distributed model server, providing standard API protocols for online serving while also supporting offline batch processing. The system is built to maximize token gen

    Pythonamdblackwellcuda
  • ultralytics/yolov5

    ultralytics/yolov5

    56,830GitHubView on GitHub↗

    YOLOv5 is a comprehensive computer vision framework designed for end-to-end deep learning, specializing in real-time object detection, image classification, and instance segmentation. It provides a unified toolkit that manages the entire lifecycle of a model, from initial dataset configuration and hyperparameter tuning

    Pythoncoremldeep-learningios
  • karpathy/nanoGPT

    karpathy/nanoGPT

    53,461GitHubView on GitHub↗

    nanoGPT is a lightweight engine for training and fine-tuning transformer-based language models from scratch. It provides a minimalist codebase designed for educational exploration and rapid experimentation with neural network architectures, utilizing self-attention and feed-forward layers to process sequences and predi

    Python

Explore sub-tags

  • Browser-based Inference EnginesTools and libraries that enable the execution of pre-trained machine learning models directly within web browsers.
  • Custom Model Execution EnginesSystems that support the execution of user-defined or custom model architectures via optimized backends.
  • Text Generation RuntimesCommand-line tools and engines for sampling sequences from neural networks with configurable generation parameters.