Skip to content
Pro
Block or report user

Report or block harsh306

Hide content and notifications from this user.

Learn more about blocking users

Contact Support about this user’s behavior.

Learn more about reporting abuse

Report abuse
Block or report user

Report or block harsh306

Hide content and notifications from this user.

Learn more about blocking users

Contact Support about this user’s behavior.

Learn more about reporting abuse

Report abuse

Pinned

  1. Awesome list for Neural Network Optimization methods.

    3

  2. Forked from brade31919/SRGAN-tensorflow

    Tensorflow implementation of the SRGAN algorithm for single image super-resolution

    Jupyter Notebook 2 1

  3. Implementation of "Parameter Continuation Methods for the Optimization of Deep Neural Networks" accepted at ICMLA 19

    Jupyter Notebook

  4. Fast parallel preprocessing text or images. Let's use all the CPUs. But yeah after you think you have done your best at optimizing your code on 1 processor.

    Python

  5. Machine Learning case-studies at WPI. Projects covers the following data science topics such as NLP, Pre-processing, Analytics, visualization, dimension reduction, classification and regression.

    Jupyter Notebook 1

130 contributions in the last year

Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec Jan Mon Wed Fri
Activity overview
Contributed to harsh306/ML_Notes, harsh306/awesome-nn-optimization, harsh306/Notes-MLE and 5 other repositories
Loading

Contribution activity

Seeing something unexpected? Take a look at the GitHub profile guide.

You can’t perform that action at this time.