A nonogram/picross/griddler solver written in Python 3
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Updated
Jan 25, 2020 - Python
A nonogram/picross/griddler solver written in Python 3
A Interactive dashboard for COVID-19 prediction for Bangladesh
I develop this sunflower yeild prediction and analysis using classification with python, css3,html5,datasets . It is research based project in and around mysore which detect how much yeild is produced with diffrent soil, manures, phvalue and water is required.
USC CURVE Fall 2023-Spring 2024 — Suen Lab, Sanya Chandni Khattar
Developed a GUI tool for compiler designing purpose using Java Swing , Python lex and yacc , python for file handling and shell scripts for connectivity.
Neutralizing relay attacks on passive keyless vehicles.
A parser for Google Scholar, written in Python
Explore how websites are linked together using this interactive map:
A research📝, publication📚 and innovation💡 platfrom backend_API that houses and showcase a database of research papers, publications and innovations done by institutional staff and students
This project was requested for the Advanced Topics in Computer Science in Roma Tre University.
This Python Project utilizes the Pandas and Matplotlib Libraries, also a PrettyTable Module and this research project aims to provide a comprehensive overview of cancer cases and rates in the various states of the United States using various graphs and visualizations to better understand the trends and patterns over the years.
Research-oriented project to test and study the underlying patterns of a students aptitude
This is a WebAPP that simulates an LLM. It will be used in Georgia Tech's HumansLab Research lab
P4 Firewall from research in Columbia's Internet Real Time Lab
Lexical relations data extracted from AO-CHILDES
Applying GradCAM method with 3 kinds of CNN-based model for NLP classification task on french dataset.
This is the GitHub repository of the code employed in Section 5 of the Article "A cloud-native application for digital restoration of Cultural Heritage using nuclear imaging: the AIRES-CH project App", Alessandro Bombini, Fernando Garcìa Avello-Bofìas, Chiara Ruberto, Francesco Taccetti, submitted to MDPI/computers
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