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JiahuiYu / slimmable_networks

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reproducing CIFAR10 results for AutoSlim

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RudyChin
RudyChin commented Jun 25, 2020

Hi Jiahui,

Thanks for the great work. I'm trying to reproduce AutoSlim for CIFAR-10 (Table 2).
Could you please provide a detailed hyperparameter you used for it?

I'm able to train the baseline MobileNetV2 1.0x to 7.9 Top-1 error using the following hyperparameters:

  • 0.1 initial learning rate
  • linear learning rate decay
  • 128 batch size
  • 300 epochs of training
  • 5e-4 weight decay
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good first issue

aptx1231 / Traffic-Prediction-Open-Code-Summary

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Summary of open source code for deep learning models in the field of traffic prediction

open-source deep-learning traffic on-demand on-demand-service spatio-temporal graph-convolutional-networks traffic-prediction trajectory-prediction time-series-prediction spatio-temporal-prediction traffic-flow-prediction graph-neural-networks paper-list estimated-time-of-arrival traffic-accident-prediction open-code traffic-speed-prediction travel-time-prediction
  • Updated Nov 8, 2021

anseki / eager-image-loader

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The eager-loading for image files on the web page that loads the files according to your plan. This differs from the lazy-loading, for example, this can be used to avoid that the user waits for the loading.

fast image ui serial lazy-load button file cycle scroll css-selector html-element eager-load load usability on-demand document-order pre-load background src img backgroundimage htmlcollection event-handlers eagerimageloader-loads nodelist user-scrolls
  • Updated Mar 2, 2018
  • JavaScript

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