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Dhruv Sheth's Projects

machine-learning-in-healthcare icon machine-learning-in-healthcare

Project files created while working through the Udemy course titled, Applied Machine Learning for Healthcare. There are 5 python programming projects in this course: Breast Cancer Detection, Diabetes Onset Prediction, DNA Classification, Heart Disease Prediction, and Autism Screening

medstack icon medstack

MedStack is a group of tools based on the web which allow doctors to perform various types of analysis only through an image.

minneapple icon minneapple

A Benchmark Dataset for Apple Detection and Segmentation

mkrwan icon mkrwan

An Arduino library for sending and receiving data using LoRaWAN protocol and LoRa® radios.

ml-resources icon ml-resources

A collection of free resources specially curated for getting started with Machine Learning easily. Prerequisites are Mathematics concepts for Machine Learning.

monodepth icon monodepth

Unsupervised single image depth prediction with CNNs

monodepth2 icon monodepth2

[ICCV 2019] Monocular depth estimation from a single image

oakmower icon oakmower

OpenCV Spatial AI Competition 3rd prize winner project "Automatic Lawn Mower Navigation"

oculaspectum icon oculaspectum

Code and Data for the research paper titled, "Exploring gaze behavior through object detection for walking pedestrians with Homonymous Hemianopia"

open_model_zoo icon open_model_zoo

Pre-trained Deep Learning models and demos (high quality and extremely fast)

openvino-for-colab icon openvino-for-colab

This is a sample colab python notebook where an environment for OpenVino variables is created, weights are converted to pb and later to IR, through colab utilising the efficiency of OpenVino software

openvino-yolov3 icon openvino-yolov3

YoloV3/tiny-YoloV3+RaspberryPi3/Ubuntu LaptopPC+NCS/NCS2+USB Camera+Python+OpenVINO

openvino-yolov4 icon openvino-yolov4

This is implementation of YOLOV4,YOLOV4-relu,YOLOV4-tiny in OpenVINO2020R4 .

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