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deepseek-ai/EPLB

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1,388 星标·203 分支·Python·MIT·5 次浏览

EPLB

Expert Parallelism Load Balancer

Features

  • Attention Optimization - Load balancing for expert-parallel model architectures.
  • Distributed Training Tools - Load balancing tool for expert-parallelism in large-scale model training.

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EPLB 的开源替代方案

相似的开源项目,按与 EPLB 的功能重合度排序。
  • deepseek-ai/dualpipedeepseek-ai 的头像

    deepseek-ai/DualPipe

    2,967在 GitHub 上查看↗

    A bidirectional pipeline parallelism algorithm for computation-communication overlap in DeepSeek V3/R1 training.

    Python
    在 GitHub 上查看↗2,967
  • deepseek-ai/deepepdeepseek-ai 的头像

    deepseek-ai/DeepEP

    9,736在 GitHub 上查看↗

    DeepEP is a distributed model accelerator and expert-parallel communication library designed to optimize the training and inference of large-scale neural networks. It provides specialized GPU communication kernels and a remote GPU memory interface to facilitate high-throughput data exchange between hardware nodes. The system utilizes dynamic kernel generation to compile optimized GPU kernels during execution, removing the need for separate installation compilation steps. It implements virtual-lane traffic isolation to prevent interference between different data streams and employs routing met

    Cuda
    在 GitHub 上查看↗9,736
  • open-mmlab/openpcdetopen-mmlab 的头像

    open-mmlab/OpenPCDet

    5,621在 GitHub 上查看↗

    OpenPCDet is a PyTorch deep learning library and toolbox for LiDAR 3D object detection. It functions as a point cloud processing framework designed to develop, train, and evaluate machine learning models that identify and locate objects in three dimensional space. The project includes a GPU-accelerated geometry engine for high-performance implementation of 3D intersection over union and rotated non-maximum suppression. It also provides a distributed model training tool to scale the training and testing of detection models across multiple GPUs and computing nodes. The framework covers point c

    Python
    在 GitHub 上查看↗5,621
  • stability-ai/stablelmStability-AI 的头像

    Stability-AI/StableLM

    15,699在 GitHub 上查看↗

    StableLM is a pre-trained transformer-based large language model designed for natural language generation and zero-shot inference. It functions as a causal language model that predicts the next token in a sequence to produce human-like text for conversational and creative writing tasks. The model is built as a fine-tunable base, allowing the adaptation of pre-trained weights to specific tasks or styles through custom dataset training and weight regularization. It utilizes rotary positional embeddings and flash-attention to optimize memory usage and processing efficiency during deployment on G

    Jupyter Notebook
    在 GitHub 上查看↗15,699
查看 EPLB 的所有 30 个替代方案→

常见问题解答

deepseek-ai/eplb 是做什么的?

Expert Parallelism Load Balancer

deepseek-ai/eplb 的主要功能有哪些?

deepseek-ai/eplb 的主要功能包括:Attention Optimization, Distributed Training Tools。

deepseek-ai/eplb 有哪些开源替代品?

deepseek-ai/eplb 的开源替代品包括: deepseek-ai/dualpipe — A bidirectional pipeline parallelism algorithm for computation-communication overlap in DeepSeek V3/R1 training. deepseek-ai/deepep — DeepEP is a distributed model accelerator and expert-parallel communication library designed to optimize the training… open-mmlab/openpcdet — OpenPCDet is a PyTorch deep learning library and toolbox for LiDAR 3D object detection. It functions as a point cloud… stability-ai/stablelm — StableLM is a pre-trained transformer-based large language model designed for natural language generation and… deepseek-ai/deepgemm — DeepGEMM is a suite of specialized GPU kernels and a just-in-time compiler designed for low-precision matrix… dao-ailab/flash-attention — FlashAttention is an attention mechanism optimization library and machine learning acceleration framework designed to…