authenticate-using-face-recognition

Face recognition, Eigenfaces, Local Binary Pattern Histogram, Fisherfaces, opencv, pyqt.

blackwidow2981

blublaaa

carfuelling

custom_maskrcnn

Custom Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

cyberbullying

demo

documentation

e-pradarshani

flutter-fittedbox

In this repo you will see how to use FittedBox Widget and a demo page which shows the difference of with and without Flutter FittedBox Widget.

frauddetection

gamebackup

hacktoberfest2020

A guide to help you contribute to Hacktoberfest 2020 and to get you started towards Open Source Contribution

hacktoberfest2020_

Use this repository to contribute quality code in languages you are comfortable with during the Hacktoberfest event. Do not make this repo act like a source of +1

heartdisease-kaggle

This database contains 76 attributes, but all published experiments refer to using a subset of 14 of them. In particular, the Cleveland database is the only one that has been used by ML researchers to this date. The "goal" field refers to the presence of heart disease in the patient. It is integer valued from 0 (no presence) to 4

hello_world

java

All Algorithms implemented in Java

mask_rcnn

Mask R-CNN modified to run on TensorFlow 2

maskissue

nomura-final

open-react-template

A free React landing page template designed to showcase open source projects, SaaS products, online services, and more. Made by

prince-shivaram

Don't just fork it :eyes: Star it :star:

reactive-resume

A one-of-a-kind resume builder that keeps your privacy in mind. Completely secure, customizable, portable, open-source and free forever. Try it out today!

sagar-viradiya

About me

sign-language

sign-language-to-text

A python based app which can convert the shown sign language using hand to text in real time

smart-traffic

A system and method for the prediction of vehicle traffic congestion on a given roadway within a region. In particular, the computer implemented method of the present disclosure utilize real time traffic images from traffic cameras for the input of data and utilizes computer processing and machine learning to model a predictive level of congestion within a category of low congestion, medium congestion, or high congestion. By implementing machine learning in the comparison of exemplary images and administrator review, the computer processing system and method steps can predict a more efficient real-time congestion prediction over time.

srm-iste-hackathon-runtime-coders

sudokujs

JavaScript step-by-step Sudoku solver and board generator

tifr