Jupyter notebooks for threat hunting
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Updated
Mar 26, 2025 - Jupyter Notebook
Jupyter notebooks for threat hunting
Python notebooks for my graduate class on Detection, Estimation, and Learning. Intended for in-class demonstration. Notebooks illustrate a variety of concepts, from hypothesis testing to estimation to image denoising to Kalman filtering. Feel free to use or modify for your instruction or self-study.
A collection of Jupyter notebooks and a Python library for Machine Learning projects.
FULL Implementation of RCNN from scratch
Thesis, notebooks and scripts for my master thesis in Physics at ETH Zurich and University of Heidelberg.
Malaria detection notebook for computer vision beginners 🎓💻
Machine Learning project a case study focused on the interaction with digital characters, using a character called "Kaio", which, based on the automatic detection of facial expressions and classification of emotions, interacts with humans by classifying emotions and imitating expressions
Credit Card Fraud Detection Model with an accuracy of 91.24%.Uses AWS for training and tuning.
🪐🐍 Artificial Intelligence that detects peoples' faces\eyes and objects' motions. Try it out! I am sure that you will think: 'Yowzaaa!!!' 🪐🐍 (🔑 KeyWords: python, jupyter notebook, pandas, opencv, AI, Artificial Intelligence, webcam, detection, face detection, eye detection, motion detection 🔑)
Udacity lab for Object Detection experiments
Backup for kaggle.com notebooks
This repository contains some of my machine learning notebooks I created on Kaggle
Identification of brain tumour at a premature stage offers a opportunity of effective medical treatment. For this purpose, the present notebook is an application of deep learning and transfer learning for brain tumor detection using keras from Tensorflow framework.
Repository with python notebooks for training and testing YOLOV3 and YOLOV4 models for multiclass object detection
Notebooks from image and video analysis and processing classes. Optical flow, Faster-RC, SIFT, Image StitchingNN
The system is designed to detect the faces and to determine whether the person wears a face mask or not. Using the above data, we can decide whether the concerned person can be allowed inside public places such as the market, or a hospital. This project can be used in the hospital, market, bus terminals, restaurants, and other public gatherings …
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