Apoorv Garg's Projects
The goal of the project was to develop a model that generates a caption that best describes the input image.This initiative can aid with Google Image search, self-driving automobiles, and providing assistance to the blind. Python is used to create the project. The project was built using the Keras (Tensor flow), numpy, matplotlib, and pandas libraries. Flask was utilised as the framework.
AI Tooling to bootstrap applications fast
Barcode generation,Barcode scanning,qrcode,qrcode generation,qrcode creator,flutter barcode,flutter qrcode,support android iOS web platform
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
Bash has two input modes - emacs and vi. This is vi input/editing mode keyboard shortcut cheat sheet.
The web-based visual programming editor.
Learn to build a Deep Neural Network from scratch!
Source Codes for: DeepSlicing: Deep Reinforcement Learning Assisted Resource Allocation for Network Slicing
Examples of how to use or integrate DeepSpeech
Learning how to deploy a static website on a static host
Deploying database
eGovernments Research and Development
Detecting face masks using Python, Keras, OpenCV on real video streams
Machine learning practice | guided project
Find common interests among your peers and build a healthy community š«š§āāļø
Repository containing source code for the tutorials made using Firebase with Flutter
š Generate GitHub profile README easily with the latest add-ons like visitors count, GitHub stats, etc using minimal UI.
Updated GUI for Team Garuda