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22arxiv-st-moe-pytorch icon 22arxiv-st-moe-pytorch

Implementation of ST-Moe, the latest incarnation of MoE after years of research at Brain, in Pytorch

22arxiv-xformers icon 22arxiv-xformers

Hackable and optimized Transformers building blocks, supporting a composable construction.

22icml-tspipe icon 22icml-tspipe

Official Repository for the paper "TSPipe: Learn from Teacher Faster with Pipelines"

22nsdi-clusterdata icon 22nsdi-clusterdata

cluster data collected from production clusters in Alibaba for cluster management research

23arxiv-saturn icon 23arxiv-saturn

Saturn accelerates the training of large-scale deep learning models with a novel joint optimization approach.

23arxiv-sparsegpt icon 23arxiv-sparsegpt

Code for the ICML 2023 paper "SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot".

23eurosys-espresso icon 23eurosys-espresso

Hi-Speed DNN Training with Espresso: Unleashing the Full Potential of Gradient Compression with Near-Optimal Usage Strategies (EuroSys '23)

23fast-shade icon 23fast-shade

SHADE: Enable Fundamental Cacheability for Distributed Deep Learning Training

23iccv-dit icon 23iccv-dit

Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"

23icdcs-acpsgd icon 23icdcs-acpsgd

[ICDCS 2023] Evaluation and Optimization of Gradient Compression for Distributed Deep Learning

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