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Code to Learn + Learn to Code.
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Code to Learn + Learn to Code.

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  1. MotionSense Dataset for Human Activity and Attribute Recognition ( time-series data generated by smartphone's sensors: accelerometer and gyroscope)

    Jupyter Notebook 114 46

  2. Dimension-Adaptive Neural Architecture (DANA)

    Jupyter Notebook 4 2

  3. Codes and Data for Reproducing the Results of "Privacy-Preserving Bandits"

    Jupyter Notebook 12 1

  4. Keras Implementation of the Paper "Replacement AutoEncoder: A Privacy-Preserving Algorithm for Sensory Data Analysis".

    Python 15 6

  5. Jupyter Notebook 1

  6. This python package helps to splits a sensor dataset (in Pandas DataFrame format) into train and test sets.

    Python 1 1

209 contributions in the last year

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Contribution activity

September 2020

Created an issue in pytorch/opacus that received 1 comment

A bug in the tutorial building_image_classifier.ipynb

According to the description of the virtual_step(self) method in the following line opacus/opacus/privacy_engine.py Line 335 in d68b2bd t…

1 comment

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