kshitij-bajpai Goto Github PK

berkeley-stat-157

Homepage for STAT 157 at UC Berkeley

building-extraction

Extracting Buildings from Aerial Images

codopen.github.io

Official GitHub repository for Mozzila Tech Club at Galgotias College of Engineering and Technology

cosmos

| Contribute toward Hacktoberfest and enjoy 🌱 | Algorithms that run our universe | Your personal library of every algorithm and data structure code that you will ever encounter | Ask us anything at our forum |

coursera_capstone_project

crawler

Crawling links on given page

data-structures-algorithms-hacktoberfest-2k19

collection of data structures and algorithms in different languages - created by the community during Hacktoberfest 2019

datacamp-community-tutorials

Tutorials for DataCamp (www.datacamp.com)

deep-learning-based-semantic-segmentation-using-keras

Pixel-wise image segmentation is a well-studied problem in computer vision. The task of semantic image segmentation is to classify each pixel in the image. In this post, we will discuss how to use deep convolutional neural networks to do image segmentation. We will also dive into the implementation of the pipeline – from preparing the data to building the models.

deep_learning

django1

face-detection-using-opencv

ga_in_python

hacktoberfest-19

A repository promoting contributions to help people complete hacktoberfest challange.

hacktoberfest-20

This repository will help beginners to make their 1st PR.

ibm-datascience-capstone

Capstone project for IBM Professional Data Science course offered along with Coursera.

image-segementation

interview-techdev-guide

This repository contains curated technical interview guide by fnplus community!

java-projects

js-projects

library-mangement-system

media_player

node-express-course

nodejsapp

notepad

planahead-app

Practise Js,Node Js, Express Js project

react-projects

satellite-image-deep-learning

Resources for deep learning with satellite & aerial imagery

satellite-image-detection

Employ a Fully Convolutional Neural Network to locate buildings from aerial satellite imagery

thinkstats2

Text and supporting code for Think Stats, 2nd Edition