Applied Machine Learning project for Data Science master degree
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Updated
Jun 19, 2021 - HTML
Applied Machine Learning project for Data Science master degree
Image classification benchmarking 🧑🏽⚖️ Hopefield Networks vs CNN across different augmentations 🧬
Random augmentation for machine learning experiments.
Doggo Breed Detector Chatbot
Classification of images between two classes cat and dog using CNN with image augmentation as available data for training is is limited
Augment maps of cities with images from monuments
There are methods to augment images and increase number of image datas in this notebook.
Using over 5,800 images of chest radiographs, I utilized machine learning and neural networks to predict when pneumonia is present. The best model was able to predict over 80% accuracy on the test data with a false negative rate that was less than 3%.
Deep Learning Course Project at ITI
Data Augmentation with PyTorch, Tensorflow, Imgaug and Albumentations. It also involves bounding box augmentation.
An Android Application developed using Unity 3D and Google ARCore to help visualize 2D images using 3D objects and animations
Links and description to ARCore samples written in Kotlin
COVID-CT19-Challenge
ARCore addon for openframeworks (Point cloud, Augmented Images, Hit testing, Planes)
This script is used to augment image data created using LabelMe-MIT.
Self-adversarial Multi-scale Contrastive Learning for Semantic Segmentation of Thermal Facial Images
An Android Application showcasing the use of Augmented Reality in the Furniture and Education Industry (-ARCore-)
Demo of Augmented Images in ArCore using Sceneform
My AR experiments collections
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