Sarjak Thakkar's repositories
DownloadRedditImages
Easily download all the images from any subreddit (also select sort_type if you want hot/top/new/controversial, and also sort_time day/week/month/year/all). Randomly select downloaded images and set as wallpaper, updating every 30 mins (or whenever you want duh)!
Simulate-Correct-ColorBlindness
This Script simulates images based on how people with colorblindness would perceive it naturally. You can also vary the degree of colorblindness for simulating. This script can also be used to correct images, making differenciation of certain colors in an image easier for people with colorblindness.
ColorBlindness-Processing-Library
This library simulates and corrects images to ease differentiation of colors for colorblind people
ReColorLib
This is python toolkit to simulate images as perceived by people with colorblindness, as well as correct the images for Protanopia and Deuteranopia colorblindbess.
ButtonAndLEDforRaspberryPi
Use this Python Script to connect a 4 pin button and light an LED accordingly. Connect upto five buttons and five LEDS using this code.
color-blindness-imageprocessing
Processing Library Template for Eclipse
colorblindness-gsoc-source-files
This contains the source files for the colorblindness library built for processing foundation at Google Summer Of Code 2017
colorblindness-processing
This is a library to simulate and correct images for Processing Org
Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Environment-Description-Image-Captioning
Using VGG16 as the base neural network, and adding three layers of GRU on top of it, this is an Image Captioning model trained on MS-COCO dataset.
mnist-basic-neural-net
Basic neural network (Fully connected) with three hidden layers using tensorflow for python for classifying digits from MNIST data sets with 95% accuracy.
pyfingerprint
Python library for ZFM-20 fingerprint sensor
sentiment-classification-fully-connected-neural-net
Training neural network with 10,000 words of positive and negative phrases and classifying the sentiments on unseen phrases.