A curated list of applied machine learning and data science notebooks and libraries across different industries.

SOFT-CSRNET : Counting people in drone video footage

Determines whether a specific user is wearing a face mask or not using a 2-factor approach written in Python with TensorFlow and OpenCV modules. Includes a Google Colab notebook tutorial and code for real-time detection using OpenCV.

This repository contains the steps to install Apache Spark, and run an application that consumes the twitter's real-time stream, performs transformations on the data and displays them on a real-time dashboard in Jupyter Notebook.

this repo contains python/colab/jupiter notebooks for trading bots with different strategy and with deep learning and machine learning implementation

YOLO is a state-of-the-art, real-time object detection algorithm. In this notebook, I've applied the YOLO algorithm to detect objects in images. darknet prints out the objects it detected, its confidence, and how long it took to find them. We didn't compile Darknet with OpenCV so it can't display the detections directly.