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Title: GitHub - rpengms/DeepSpeed: DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective. · GitHub

Open Graph Title: GitHub - rpengms/DeepSpeed: DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.

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Description: DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective. - rpengms/DeepSpeed

Open Graph Description: DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective. - rpengms/DeepSpeed

X Description: DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective. - rpengms/DeepSpeed

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https://dev.azure.com/DeepSpeedMSFT/DeepSpeed/_build/latest?definitionId=1&branchName=master
https://deepspeed.readthedocs.io/en/latest/?badge=latest
https://github.com/Microsoft/DeepSpeed/blob/master/LICENSE
https://hub.docker.com/r/deepspeed/deepspeed
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Turing-NLGhttps://www.microsoft.com/en-us/research/blog/turing-nlg-a-17-billion-parameter-language-model-by-microsoft
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https://github.com/rpengms/DeepSpeed#news
DeepSpeed: Extreme-scale model training for everyonehttps://www.microsoft.com/en-us/research/blog/deepspeed-extreme-scale-model-training-for-everyone/
Powering 10x longer sequences and 6x faster execution through DeepSpeed Sparse Attentionhttps://www.deepspeed.ai/news/2020/09/08/sparse-attention-news.html
Training a trillion parameters with pipeline parallelismhttps://www.deepspeed.ai/news/2020/09/08/pipeline-parallelism.html
Up to 5x less communication and 3.4x faster training through 1-bit Adamhttps://www.deepspeed.ai/news/2020/09/08/onebit-adam-news.html
10x bigger model training on a single GPU with ZeRO-Offloadhttps://www.deepspeed.ai/news/2020/09/08/ZeRO-Offload.html
DeepSpeed Microsoft Research Webinarhttps://note.microsoft.com/MSR-Webinar-DeepSpeed-Registration-On-Demand.html
DeepSpeed Microsoft Research Webinarhttps://note.microsoft.com/MSR-Webinar-DeepSpeed-Registration-On-Demand.html
https://note.microsoft.com/MSR-Webinar-DeepSpeed-Registration-Live.html
ZeRO-2 & DeepSpeed: Shattering Barriers of Deep Learning Speed & Scalehttps://www.microsoft.com/en-us/research/blog/zero-2-deepspeed-shattering-barriers-of-deep-learning-speed-scale/
An Order-of-Magnitude Larger and Faster Training with ZeRO-2https://www.deepspeed.ai/news/2020/05/18/zero-stage2.html
The Fastest and Most Efficient BERT Training through Optimized Transformer Kernelshttps://www.deepspeed.ai/news/2020/05/18/bert-record.html
Turing-NLG: A 17-billion-parameter language model by Microsofthttps://www.microsoft.com/en-us/research/blog/turing-nlg-a-17-billion-parameter-language-model-by-microsoft/
ZeRO & DeepSpeed: New system optimizations enable training models with over 100 billion parametershttps://www.microsoft.com/en-us/research/blog/zero-deepspeed-new-system-optimizations-enable-training-models-with-over-100-billion-parameters/
https://github.com/rpengms/DeepSpeed#table-of-contents
Why DeepSpeed?https://github.com/rpengms/DeepSpeed#why-deepspeed
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Distributed Training with Mixed Precisionhttps://www.deepspeed.ai/features/#distributed-training-with-mixed-precision
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deepspeed.aihttps://www.deepspeed.ai/
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DeepSpeed JSON Configurationhttps://www.deepspeed.ai/docs/config-json/
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Learning Rate Range Test Tutorialhttps://www.deepspeed.ai/tutorials/lrrt/
1Cycle Tutorialhttps://www.deepspeed.ai/tutorials/1Cycle/
https://github.com/rpengms/DeepSpeed#contributing
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Microsoft Open Source Code of Conducthttps://opensource.microsoft.com/codeofconduct/
Code of Conduct FAQhttps://opensource.microsoft.com/codeofconduct/faq/
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ArXiv:1910.02054https://arxiv.org/abs/1910.02054
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