tarun's Projects
Make sense out of alphabet stew
Scrape daijob.com for suitable jobs and apply with an already uploaded resume.
Six Degrees of Wikipedia
A google chrome extension to set random dog pictures as a new tab background.
Synthetic traffic sign detectron
Using machine learning to analyze healthy sandwich truck prospects in silicon valley cities
Looking at the changing frequencies of different size analogies in Google Books ngram data.
Chrome extension that automatically draws images in pictionary game, skribbl.io.
The objective of this project is to analyze the socio-economic in Chicago.
Are Pop Lyrics Getting More Repetitive?
SQL data analysis & visualization projects using MySQL, PostgreSQL, SQLite, Tableau, Apache Spark and pySpark.
In this repository, you are going to learn the fundamentals of SQL: how to create a SQL database from scratch, how to use SQL commands, how to fetch data from the database, write data to the database, edit data in the database as well as how to delete data from the database.
Coursework and personal projects using SQL.
Compilation of SQL projects and challenges where I practiced new skills.
In this repository you will find SQL queries of multi-difficulty levels that can applied on to large datasets for various business requirements.
Beautiful responsive Hugo blog theme focused on simplicity and elegance, with many extra features including presentations, math typesetting, music notation, and search.
Game to depict social distancing in testing times of COVID-19 made with p5js.
A tutorial showing how to train, convert, and run TensorFlow Lite object detection models on Android devices, the Raspberry Pi, and more!
How to train a TensorFlow Object Detection Classifier for multiple object detection on Windows
YOLOv4, YOLOv4-tiny, YOLOv3, YOLOv3-tiny Implemented in Tensorflow 2.0, Android. Convert YOLO v4 .weights tensorflow, tensorrt and tflite
Profile your Tensorflow Lite model on-device
Tic-tac-toe, with a multiplayer twist
Code for WF-IoT paper 'TinyML Benchmark: Executing Fully Connected Neural Networks on Commodity Microcontrollers'
A Hugo theme for personal portfolio
Traffic Sign Detection. Code for the paper entitled "Evaluation of deep neural networks for traffic sign detection systems".
Using synthetic data in combination with Deep Learning, to determine if a system can be made that will be able to recognise and classify correctly real traffic signs.
Train a state-of-the-art yolov3 object detector from scratch!