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Pandey Shourya Prasad's Projects

cache icon cache

Implementation of cache using python. The size and structure of cache is customizable. The replacement policy implemented is Least Recently Used (LRU). The code has been successfully tested on five trace files of assembly language. Calculated hit accuracy for each file.

handwrittendigits icon handwrittendigits

I used the Handwritten digits dataset which had 60,000 training cases and 10,000 testing cases.Tools used: Tensorflow, NumPy, matplotlib and Keras(in Tensorflow) I basically made 5 models, each having a different activation function and losses function. Through this, I tried to figure out the model which had the highest accuracy during learning the training test. I have used adaptive movement estimation(adam) in all the models.(Initial rate was set to be remain as default) I have used the Dense layer in all the models.(Dense layer takes in use of all the neurons coming from previous layer/input) Test Dataset had 60,000 numbers which basically had an array of the intensity of each block of 28x28 grid. So, I had to flatten that data set into (28*28,1)= (784,1) for the first layer.

keep-notes icon keep-notes

This is a React based note-taking application. It allows users to create, view, and delete notes efficiently. The app features a user-friendly interface with a vibrant color scheme, making note-taking a pleasant experience!

machine-learning-basics icon machine-learning-basics

This repository contains problems to familiarize yourself with basics and some advance concepts of machine learning. Open for Hacktoberfest 2022 contributions.

simplehtr icon simplehtr

Handwritten Text Recognition (HTR) system implemented with TensorFlow.

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