Credit Card Fraud Detection Model with an accuracy of 91.24%.Uses AWS for training and tuning.

Udacity lab for Object Detection experiments

Backup for kaggle.com notebooks

[python and jupyter notebooks] a project for training moth detectors and classifiers

This repository contains some of my machine learning notebooks I created on Kaggle

Small repository of code to perform vehicle detection

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 …

Traffic sign detection system using TensorFlow and OpenCV, trained on a custom dataset and deployed on Raspberry Pi 5 for real-time inference.

This repository contains a Jupyter Notebook that focuses on the identification and tracking of tropical cyclones using rainfall and sea level pressure data.

This repository contains a complete workflow for training and deploying a state-of-the-art YOLOv10 model for real-time face mask detection. The model accurately identifies 'with_mask' and 'unmasked' individuals in images and videos. Includes Google Colab notebooks for training and inference

For the Semester-Final Team Project, my friends and I have built a CNN model to classify chest X-ray images into Normal, COVID-19, and Pneumonia (Viral/Bacterial) cases.

Malaria detection notebook for computer vision beginners 🎓💻

Repository with python notebooks for training and testing YOLOV3 and YOLOV4 models for multiclass object detection

A helpful Jupyter notebook that uses the Moondream 2B model to detect faces and their gaze directions in videos. It processes videos frame by frame, visualizing face detections and gaze directions. Directly run on Colab

Using Mammography and Histopathology (ResNet for classification and UNet for detection)

A collection of Jupyter notebooks and a Python library for Machine Learning projects.

Thesis, notebooks and scripts for my master thesis in Physics at ETH Zurich and University of Heidelberg.

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.

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

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.