Name: Nisarg Mehta
Type: User
Company: Vishwakarma Institue Of Technology , Pune
Bio: I am an Enthusiastic Programmer, Having Interest in Solving Algorithms and Data Structures problems. And I am Deep Learning & Data Science Enthusiastic.
Location: Pune
Blog: https://leetcode.com/Nisarg1406/
Nisarg Mehta's Projects
:gem: A curated list of awesome Competitive Programming, Algorithm and Data Structure resources
A curated list of resources for text detection/recognition (optical character recognition ) with deep learning methods.
Working on Bank Marketing Datasets using Pyspark on Databricks
This will include all Computer Vision Features that will help Blind Person
Object detection, 3D detection, and pose estimation using center point detection:
Classification of different Audios
This repository consists of all the material required for cracking the coding rounds and technical interviews during placements.
The best library for implementation of all Data Structures and Algorithms - Trees + Graph Algorithms too!
Text recognition (optical character recognition) with deep learning methods.
To Detect the barcode on the image
To Detect the Barcode in a Video
Try out deep learning models online on Google Colab
Mainly Focusing on the LeetCode Coding Questions Solutions in C++
It will contain files of extra project.
This Repo is part of Git Basic Learning
To measure the distance from the Camera
An unofficial implementation of MemoPainter(Coloring With Limited Data: Few-shot Colorization via Memory Augmented Networks) using PyTorch framework.
Aim is to Detect the Monuments of India
On single image multiple rice types are being detected.
Video is taken as the input and location coordinates along with the obstacle is being detected on the output video
Object Detection Classifying Between Plant And Weed
This repository will contain basics of PostgreSQL Commands
Printed pages and short text is been read
Python and spark for Big Data
Important Basic Commands of Numpy and Pandas.
This repository contains code for YOLO v3 Object detection, and is capable of fast object detection. Input can be given through images, videos and webcam input feed.