Games

Implementation of Conway’s game of life in python

Conway’s Game of Life An interactive simulator that implements the standard Conway Game of Life with a simple menu developed in Python + Pygame. Test and experience the different types of cell automaton patterns discovered and found in this game. đź’» Shortcuts to change program settings use ESC to exit / close the program. use A to play/pause execution. use S to switch between pencil / eraser. use Q to decrease block size. use W to increase block size. use […]

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Scripts

Receive notifications on the most recent disclosed CVE’s

Epimetheus Receive notifications/alerts on the most recent disclosed CVE’s. Be sure you are notified and up to date on the latest threats! How to use: pip install -r requirments.txt – Install the dependencies. python main.py initdb – Initialize the database. (Run this when first using ‘Epimetheus’). python main.py scan – Scan and alert for new vulnerabilities. python main.py search – Display the latest disclosed CVE’s. Search examples: python main.py search * 10 – Pull the latest 10 disclosed CVE’s. python […]

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RESTful API

A RESTful API made using Python and Flask

Project Heist Project Heist is a RESTful API made using Python and Flask. This API is inspired by the popular Spanish TV show Money Heist. Using this API, one can get the information of characters in the Money Heist TV show. How to use: Syntax: https://projectheist.herokuapp.com/characters/{id} where id is a unique number for every character. Character IDs available: 1 – Professor 2 – Berlin 3 – Tokyo 4 – Nairobi 5 – Lisbon 6 – Denver 7 – Rio 8 […]

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Deep Learning

Thermal Control of Laser Powder Bed Fusion using Deep Reinforcement Learning

ThermalControlLPBF-DRL Code implementation of the paper “Thermal Control of Laser Powder Bed Fusion using Deep Reinforcement Learning”. This repository is the implementation of the paper “Thermal Control of Laser Powder Bed Fusion Using Deep Reinforcement Learning”, linked here. The project makes use of the Deep Reinforcement Library stable-baselines3 to derive a control policy that maximizes melt pool depth consistency. Simulation Framework The Repeated Usage of Stored Line Solutions (RUSLS) method proposed by Wolfer et al. is used to simulate the […]

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Date and Time

An open-source & highly performing timer using only standard-libraries

Python Repeated Timer Python-Repeated-Timer is an open-source & highly performing timer using only standard-libraries. Users may change the interval and duration of the event as they wish. This code is GUI freezing issue won’t be happening, and performance of the timer won’t be affected by any event. Features: Python Repeated Timer is a open-source library based on Thread Timer, and this asynchronously triggers the event every N seconds. For this only uses python standard-library, no additional library is required. Easy […]

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Search

Instant Fuzzy File Search for Alfred with python

alfred-fzf Instant Fuzzy File Search for Alfred List all the files inside a folder using fd, and instantly fuzzy-search through all of them using fzf, all from inside Alfred with a single keyword: fzf. Screenshots Invoke with fzf Search through tens of thousands of files Fuzzy search shows most relevant results There’s a folder action too! Search even inside apps Manually create folder-specific keywords Alternative and comparison Fuzzy Folders is another fuzzy search workflow that is moreconfigurable and customizable. Instant […]

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Games

Recreation of HexGame in Pygame

Hex with Pygame Recreation of HexGame in Pygame. Whats is Hex ? Historical point of view Hex as been created in 1942 by a Danish mathematician named Piet Hein. The first commercialization of this game is in 1952. With time, some strategies to win have been seeking. Thus, techniques have been found to consistently win on a 7×7 and 9×9 Board. More recently, in 2019, Facebook succeeds in beating the best player of Hex on a 19×19 board. What Are […]

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Advanced, NLP, Project, Python, Text, Unstructured Data

Why and how to use BERT for NLP Text Classification?

This article was published as a part of the Data Science Blogathon Introduction NLP or Natural Language Processing is an exponentially growing field. In the “new normal” imposed by covid19, a significant proportion of educational material, news, discussions happen through digital media platforms. This provides more text data available to work upon! Originally, simple RNNS (Recurrent Neural Networks) were used for training text data. But in recent years there have been many new research publications that provide state-of-the-art results. One of […]

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