Automation

AWS EC2 S3 Automated With python

This programme is a Python3 script that utilizes Boto3 to automate the process of creating an AWS EC2 instance with an Apache web server installed on it and a S3 bucket configured for static web hosting. This script is designed for use in a Linux based operating system. This script only requires one other file to run successfully; the pre-built index.html page included in this repository. Upon completetion, the script will have launched the Apache web sebver, which will be […]

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Wrapper

Plazmix API wrapper for Python

An optimised, easy to use Plazmix API wrapper written in Python Features: Async and sync wrappers Using ujson instead of json for performance Regular updates Completely covers the Plazmix API Users Modes Online Metrics Moderator alerts News …and other more! Installing Important: Python 3.9 or higher is required To install the library you can just run the following command: Linux: # Linux/MacOS pip3 install plazmixapi Windows: python -m pip install plazmixapi OR pip install plazmixapi    

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Heatmap

Sky attention heatmap of submissions to astrometry.net

Installation Requires Python 3.6+, Tested with Python 3.9.5 Install library dependencies pip install -r requirements.txt The program requires the following .csv file to be extracted into this folder: http://broiler.astrometry.net/~dstn/temp/wcs.csv.gz Usage python main.py The plot is saved to the current directory as .png and shown in a matplotlib window. GitHub View Github    

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Scripts

A query extract python package

Made with Python3 (C) @FayasNoushad Copyright permission under MIT License License -> https://github.com/FayasNoushad/Query-Extract/blob/main/LICENSE Installation pip install Query-Extract Usage import query_extract link = “https://github-readme-stats.vercel.app/api?username=FayasNoushad&theme=tokyonight” print(query_extract.extract(link)) # returns :- “”” { “username”: “FayasNoushad”, “theme”: “tokyonight” } “”” data = { “username”: “FayasNoushad”, “theme”: “tokyonight” } print(query_extract.stringify(data)) # => username=FayasNoushad&theme=tokyonight GitHub – FayasNoushad/Query-Extract at pythonawesome.com A query extract python package. Contribute to FayasNoushad/Query-Extract development by creating an account on GitHub. GitHubFayasNoushad    

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OpenCV

A hobby project which includes a hand-gesture based virtual piano using a mobile phone camera and OpenCV library functions

This is a hobby project which includes a hand-gesture controlled virtual piano using an android phone camera and some OpenCV library. My motivation to initiate this project is two fold. I always felt the urge to be able to play piano since my childhood but huge instrumental costs barred my way. This is true for most of the musical instruments which are often very costly. I thought of putting my recently acquired computer vision skills to practice and make virtual […]

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Security

Gives criticality score for an open source project

This project is maintained by members of theSecuring Critical Projects WG. Goals Generate a criticality score for every open source project. Create a list of critical projects that the open source community depends on. Use this data to proactively improve the security posture of these critical projects. Criticality Score A project’s criticality score defines the influence and importance of a project.It is a number between0 (least-critical) and 1 (most-critical). It is based on the followingalgorithmby Rob Pike: We use the […]

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Detection

Two-stage object detectors that use class-agnostic one-stage detectors as the proposal network

Two-stage object detectors that use class-agnostic one-stage detectors as the proposal network. Probabilistic two-stage detection,Xingyi Zhou, Vladlen Koltun, Philipp Krähenbühl,arXiv technical report (arXiv 2103.07461) Contact: [email protected]. Any questions or discussions are welcomed! Abstract We develop a probabilistic interpretation of two-stage object detection. We show that this probabilistic interpretation motivates a number of common empirical training practices. It also suggests changes to two-stage detection pipelines. Specifically, the first stage should infer proper object-vs-background likelihoods, which should then inform the overall score […]

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