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Awesome GitHub RepositoriesParallelism

Techniques for distributing computational tasks across multiple processors to accelerate machine learning workloads.

Explore 1 awesome GitHub repository matching artificial intelligence & ml · Parallelism. Refine with filters or upvote what's useful.

Awesome Parallelism GitHub Repositories

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  • huggingface/transformershuggingface 的头像

    huggingface/transformers

    161,630在 GitHub 上查看↗

    Transformers is a comprehensive library for machine learning that provides a unified interface for training, fine-tuning, and deploying transformer-based models. It supports a wide range of tasks, including text classification, language modeling, question answering, and sequence-to-sequence translation, while offering specialized architectures for both text and vision processing. The framework includes tools for managing the entire model lifecycle, from data preprocessing and tokenization to distributed training and inference. The library features extensive support for model optimization and

    Coordinates data, pipeline, and tensor parallelism to scale large-scale model training across multi-node clusters.

    Pythonaudiodeep-learningdeepseek
    在 GitHub 上查看↗161,630
  1. Home
  2. Artificial Intelligence & ML
  3. Machine Learning
  4. Infrastructure
  5. Optimization & Inference
  6. Parallelism

探索子标签

  • DataStrategies for distributing data across multiple compute nodes.
  • HybridApproaches combining data, pipeline, and tensor parallelism for large-scale model training.