Skip to content
View roberto1648's full-sized avatar
  • Princeton University

Block or report roberto1648

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don't include any personal information such as legal names or email addresses. Markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse

Pinned Loading

  1. adversarial-perturbations-on-images-and-videos adversarial-perturbations-on-images-and-videos Public

    Code and data from the paper "Targeted Nonlinear Adversarial Perturbations in Images and Videos".

    Jupyter Notebook 11 4

  2. deep-explanation-using-ai-for-explaining-the-results-of-ai deep-explanation-using-ai-for-explaining-the-results-of-ai Public

    A deep convolutional neural network is used to explain the results of another one (VGG19).

    Jupyter Notebook 2 1

  3. sampling-of-biased-physical-signals sampling-of-biased-physical-signals Public

    A method for sampling a balanced dataset from biased signals by leveraging statistical distributions derived from the data.

    Jupyter Notebook

  4. presidential-elections-from-a-data-science-perspective presidential-elections-from-a-data-science-perspective Public

    An exploration of historical data on US presidential elections

    Jupyter Notebook 8 5