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  1. Python implementation of Neural Network class, fully vectorized and makes use on numpy's matrix multiplication for better performance.

    Python 1

  2. This repository helps to train ResNet and dump the trained model - which can then be modified and reloaded to the network for retraining.

    Python 2

  3. This is an efficient subprocess pipe based module to extract all the frames of a video to frames as a numpy array.

    Python 1

  4. Implement a script to take in weights of a convolutional layer and reduce the number of unique weights

    Python 1

  5. This repository is a collection of useful functions related to Dense/Sparse Tensor algebra.


17 contributions in the last year

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Contribution activity

October 2020

karthik-hegde has no activity yet for this period.

September 2020

4 contributions in private repositories Sep 16 – Sep 23

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