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Title: GitHub - Sandy9641/tensor2tensor: Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

Open Graph Title: GitHub - Sandy9641/tensor2tensor: Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

X Title: GitHub - Sandy9641/tensor2tensor: Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

Description: Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research. - Sandy9641/tensor2tensor

Open Graph Description: Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research. - Sandy9641/tensor2tensor

X Description: Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research. - Sandy9641/tensor2tensor

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accelerate ML researchhttps://research.googleblog.com/2017/06/accelerating-deep-learning-research.html
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https://patch-diff.githubusercontent.com/Sandy9641/tensor2tensor#papers
this paperhttps://arxiv.org/abs/1803.07416
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Attention Is All You Needhttps://arxiv.org/abs/1706.03762
Depthwise Separable Convolutions for Neural Machine Translationhttps://arxiv.org/abs/1706.03059
One Model To Learn Them Allhttps://arxiv.org/abs/1706.05137
Discrete Autoencoders for Sequence Modelshttps://arxiv.org/abs/1801.09797
Generating Wikipedia by Summarizing Long Sequenceshttps://arxiv.org/abs/1801.10198
Image Transformerhttps://arxiv.org/abs/1802.05751
Training Tips for the Transformer Modelhttps://arxiv.org/abs/1804.00247
Self-Attention with Relative Position Representationshttps://arxiv.org/abs/1803.02155
Fast Decoding in Sequence Models using Discrete Latent Variableshttps://arxiv.org/abs/1803.03382
Adafactor: Adaptive Learning Rates with Sublinear Memory Costhttps://arxiv.org/abs/1804.04235
Universal Transformershttps://arxiv.org/abs/1807.03819
Attending to Mathematical Language with Transformershttps://arxiv.org/abs/1812.02825
The Evolved Transformerhttps://arxiv.org/abs/1901.11117
Model-Based Reinforcement Learning for Atarihttps://arxiv.org/abs/1903.00374
VideoFlow: A Flow-Based Generative Model for Videohttps://arxiv.org/abs/1903.01434
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