alrikf Goto Github PK

3d-meshes

Implemented a paper performing loop subdivison and simplification using error quadratic metrics on 3D meshes

android-animations

Animations in Android

blescanner

compost2

covid19

data-science-statistical-modelling-projects

A collection of multiple projects involving tasks such as classification, time series forecasting , regression etc. on a number of datasets using different machine learning algorithms such as random forest, SVM, Naive Bayes, Ensemble, perceptron etc in addition to data cleaning and preparation.

data-streaming-project

dna-sequence-alignment

Implementation Of sequence alignment problem using Dynamic programming and A more memory efficient divide and conquer approach

driver-recognition-and-analysis-system

Driver recognition and Analysis System, that consists of: active learning module for reduction of annotated images required and training time, a motion blur detection module for identification and localization of blur to retake an image in case of blurry images, and an open set recognition module to reduce false positives and increase accuracy.

drug-information-webscraper

Webscraping medical information

gans

indoor-navigation-app

Indoor navigation app using Android and Bluetooth low energy Beacons to correctly locate and track a user and help the user navigate in the lowest time possible. We utilize RSSI for trilateration

indoor-positioning-navigation-system

lane-detection

CNN models

mask-rcnn-bottle-training

nerf

project-review-system

Project review portal for reviewing final year projects. Designed for students, mentors, coordinators and project guides, for scheduling reviews and to accurately track milestones and deadlines

project-review-system-

A project review system for colleges for final year project

retinal-anomaly-detection-using-oct-b-scans

Detection of Anomalies in the Retina from OCT B scan images. Utilized a combination of Attention Modules to weight feature maps and Convolutional Neural Networks

structure-from-motion

text-summarization-from-speech

This model performs automation speech recognition to convert audio signals to text and then the text is further fed to a transformer that summarizes the text. This is an end to end pipeline that involves ingestion of data including text and audio, validation, transformation ,training, evaluation and deployment

text2image

Text to Image Generation with Semantic-Spatial Aware GAN

textdetection

Text detection from images by utilizing pytesseract

wastedata-mask_rcnn-multiple-classes

predicting more than 2 classes from publicly available image data, for annotation we are using VGG annotator latest version

yolov3