This Python library makes it easy to display images and videos in a notebook.

YOLO is a state-of-the-art, real-time object detection algorithm. In this notebook, I had applied the YOLO algorithm to detect objects in images ,videos and webcam

This project is to help students and researchers to learn the theory of medical image registration in a simple and practical way. I will try to explain the math using simple language and python code. The tutorials are python notebook based that you can run directly in Google colab. Your correction, feedback, and support are more than welcome!

This repository contains a Jupyter Notebook that implements Gaussian Mixture Model (GMM) for semantic segmentation and background extraction. GMM class is implemented from scratch without using any libraries like sklearn.

Image Merger, Image Resizer, Image Distortion, Business Card, Radio Interview, Recruiting, Sharer OG Image, MacBook, Notebook, Play Store, App Store, GitHub, App with Text, Slides for Videos, Wallpapers for Video Calls, LinkedIn Background Generator, LinkedIn Photo Profile Generator, Android and iPhone Banner Generator.

An image processing repository with Jupyter Notebooks

Notebook of PelajarHsinchu 6th position on NDSC ID 2020

The link to my image assets for the notebook's icon.

Our Docker image is based on Minimal Jupyter Notebook Stack. See https://github.com/jupyter/docker-stacks/tree/master/minimal-notebook for more details on the Docker command options.

This repository contains the jupyter notebook catering to demonstrating the image augmentation techniques using pytorch.

Collection of Jupyter Notebooks on image processing for microscopy. Based on Youtube channel "Python for Microscopists"

A repo containing my final Jupyter Notebook after participating in the Plant Pathology Competiton on Kaggle in May 2020.

年ごと、月ごと、日ごとのカレンダー付き日記アプリ

Master Decision Trees & Ensembles in Python with this ML notebook! Classification, Regression, Bagging, Boosting, & Tuning. Elevate your ML skills now! 🌲🚀

This Repository is all about the popular Digital Image Processing Lab concepts and their variations, which can be helpful to Machine learning. I have tried Digital Image Processing Lab for all problem solutions using Python Programming Language and the Jupyter Notebook program.

Python implementation of a simple image querying system demonstrated across two Jupyter notebooks. It is designed to allow users to search for images based on visual similarity.