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.

Easy-to-use Jupyter Notebook for live object detection with YOLOv8 and OpenCV. Requires minimal setup.

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

PID 控制器的三種實作版本：基本模擬、加平滑處理、PyQt6 GUI，包括 Python 腳本與 Jupyter Notebook 兩種版本，為我嵌入式降噪論文的一部分。

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.