Skip to content
#

pylab

Here are 47 public repositories matching this topic...

The binary classification problem focused on first IEEE Image forensics challenge-phase 1, to predict the given image is pristine or manipulated/edited/fake. Comparing CNN & Transfer Learning models for the problem and boosting the performance by feature extraction

  • Updated Aug 10, 2019
  • Jupyter Notebook

Image segmentation, feature description and object tracking form the foundation of many successful applications of computer vision. The objective of this task is for you to become familiar with these techniques and their implementation in OpenCV.

  • Updated Oct 23, 2017
  • Jupyter Notebook

The University of California, San Diego, course DSE210x "Probability and Statistics in Data Science using Python" (Winter 2018): Using Python, learn statistical and probabilistic approaches to understand and gain insights from data. Part 2 of »Data Science« MicroMasters® on edX, Instructors: Alon Orlitsky and Yoav Freund, Professors of CS and En…

  • Updated Mar 20, 2020
  • Jupyter Notebook

Improve this page

Add a description, image, and links to the pylab topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the pylab topic, visit your repo's landing page and select "manage topics."

Learn more