mrugankray Goto Github PK

fashion_mnist

A.I. classifies cloths.

find-vaccine-slot

Search using pin or state and the results of available slots for vaccine

flask-blog

This a blog app which is made using flask and SQLite.

go-blog-backend

A backend for a blog app written in go and mux

hierarchical_clustering

written in python

hospital-management

Hospital management system developed using Django framework

image_uploading

k-means-_clustering

written in python

k_nearest_neighbours

Written in python

kernel_svm

written in python

knowledgebase

CRUD app with Authentication

learnopencv

Learn OpenCV : C++ and Python Examples

logistic_regression

Written in python

malicious_website_detection

Uses deep learning and machine learning techniques to detect and classify web pages as spam, malware and phishing

mean-chat-app

It's a chat app which is currently in developement stage and I'm using MEAN stack.

mindwave-brainwaves-reader

Some python scripts to get data about brain waves values from NeuroSky's Mindwave

multiple-linear-regression

multiple-linear-regression-in-r

Written in R

naive_bayes

written in python

natural_language_processing

written in python

neural-quote-generator

A lstm-char-rnn generator (neural network) made in TFLearn generating quotes.

neuro_quote_generator

Generate quotes using deep learning in pytorch

next_js_youtube

object-detection-with-deep-learning-and-sliding-window

Introduces an approach for object detection in an image with sliding window. The repository contains three files, make_data.py reads the image in gray scale and converts the image into a numpy array. The labels are also appended based on the file name. In this case, if the file name starts with "trn", then 1 is appended else 0. Finally, all the images and labels are saved into .npy file. The test-model-1.py file loads the images and converts the labels into two categories as we are doing binary classification of images. The model is built using keras with theano as backend. In this case, the best training accuracy was 80% since the data was just 500 images and the testing accuracy was 67%

object_tracking_using_colors

tracks the object by detecting it's color

opencv

Open Source Computer Vision Library

opencv_3_knn_character_recognition_python

php_login_system

Based on cisco iot hackathon

polynomial-linear-regression-written-in-python

Written in python

polynomial-linear-regression-written-in-r

Written in R