This project aims to build a simple real time face detector (video based) using two different approaches namely, Haar Cascades and face_recognition module in Python.
This project is a demonstration of building a CNN in Python to detect if cracks are present in the image. It uses Keras framework.
This packet is a simple offline dictionary in Python. It uses JSON data which is provided with the code.
The main aim of this project is to predict the insurance claim by each user that was billed by a health insurance company in Python using scikit-learn.
In this project, we do sentiment analysis on IMDB dataset available on keras using LSTM.
The packet allows us to search any company by name or address, then takes all the results from Zaubacorp.com and puts them in a excel file with all the necessary details about the company.
This packet is web file explorer with google drive like User Interface. With built in video player and image viewer and a terminal to execute command on a remote host.
In this Packet, i am going to build and train a Deep Convolutional GAN (DCGAN) with Keras to generate images of digits.I am going to use mnist dataset.
A simple automatic login tool built using Python, OpenCV, Selenium, BeautifulSoup & Tesseract enabling faster login to websites.
This project is demonstration of simple linear regression in Python using scikit-learn on real world problem of predicting car prices.
In this project, a movie recommendation system is created using RecommenderLab library in r.
This script is written in python3 and scraps proxy lists from various websites and sorts tham by time taken. these proxies can be directly used to for scraping or other tasks.