Bishal Timalsina's Projects
Successfully developed a machine learning model for accurately classifying handwritten digits from the MNIST dataset. The goal was to train a model that could learn the patterns and features in the images and make accurate predictions.
The Notepad Project is a simple and user-friendly application designed to provide a digital notepad experience for users. It offers essential features such as creating, editing, and saving text documents, providing a convenient and efficient platform for note-taking and organizing information.
Source website for openrefine.org
Open Source: What it is and How to Contribute
Dr. Jan Pearce's website
My Portfolio - Personal Website. HTML, CSS and JS.
Meu portfรณlio, feito apenas com html, css e js.
A New Monorepo structure for Runestone
This repo is for demonstration purposes only.
The Stock Market Analysis Project is a comprehensive tool that enables users to track S&P 500 stock prices and returns, identify top and lowest performing stocks, and stay informed with the latest market news, providing valuable insights for investors and financial analysts.
The Student Management Project is a comprehensive system designed to facilitate efficient management of student information in educational institutions. It offers features such as student registration, attendance tracking, grade management, and report generation.
API Backend for the Talawa Mobile App. Click on the link below to see our documentation
Unbeatable Tic-Tac-Toe AI is a project dedicated to creating an AI player that utilizes advanced algorithms and game theory principles to make flawless and unbeatable moves, providing a challenging experience for players.
This project aims to explore the application of Vision Transformers, a recent breakthrough in computer vision, for image classification tasks. By leveraging the attention mechanism and transformer architecture, the project seeks to demonstrate the effectiveness of Vision Transformers in capturing global and local features from images and achieving
N-D labeled arrays and datasets in Python