Date and Time

Whole-day timezone comparison with python

Timezone Converter Compare a full day of your local timezone with a foreign one. $ timezone-converter tijuana $ timezone-converter tijuana –zone Motivation When working with people that are not in your local timezone, the availableresources are the usual webpages that only show one hour at a time, whichis pretty inconvenient. With this script you can quickly compare a full day of your timezone againsta foreign one. Installation pip install -U timezone-converter Usage timezone-converter Available timezones $ timezone-converter –list GitHub https://github.com/ibLeDy/timezone-converter […]

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Email

Scrapes Every Email Address of Every Society in Every University

society-email-scrape Scrapes Every Email Address of Every Society in Every University. How to automatically generate new data Go to unis.yml Add your uni Create a Pull Request GitHub Actions bot will automatically update as per your PR When I approve the PR your Uni will automatically be loaded into the website https://kcsoc.github.io/society-email-scrape/ How to run yourself Add any URLs to unis.yml PS: Don’t forget to leave a trailing newline at the end of the file git clone https://github.com/kcsoc/society-email-scrape.git cd society-email-scrape […]

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Games

A very simple 3D maze game with ray tracing

PytracingMaze Simple ray tracing game in Python, based on my ray casting project. As you may have guessed, things started to get a bit heavy for Python, so i had to resort to the Numba library, improving performance by 100x. Intro Rays The basic approach is to trace rays of light in the reverse direction, starting from the camera and interacting with the environment, with three basic types of rays: Vision rays – Initial rays that shoots from the camera […]

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Data Visualization

Yet another serialization library on top of dataclasses

pyserde Yet another serialization library on top of dataclasses. TL;DR Put additional @serialize and @deserialize decorator in your ordinary dataclass. @deserialize @serialize @dataclass class Foo: i: int s: str f: float b: bool Now you can convert an object to JSON, >>> to_json(Foo(i=10, s=’foo’, f=100.0, b=True)) {“i”: 10, “s”: “foo”, “f”: 100.0, “b”: true} Converted back from JSON to the object quite easily! >>> from_json(Foo, ‘{“i”: 10, “s”: “foo”, “f”: 100.0, “b”: true}’) Foo(i=10, s=’foo’, f=100.0, b=True) pyserde supports other […]

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Download

A console application which takes an Anime name or URL and downloads the specified range of episodes

super-anime-downloader A console application written in Python3.x (GUI will be added soon) which takes a Anime Name/URL as input and downloads the range of episodes you specify. Supported Platforms: Instructions for Android: pkg update termux-setup-storage pkg install python git aria2 pip install requests bs4 cd /sdcard ls git clone https://www.github.com/ali-sajjad-rizavi/super-anime-downloader Everytime you need to download Anime episodes, you must open Termux and run these commands: cd /sdcard/super-anime-downloader python cli_downloader.py Enter anime name or URL and set the episode range. Anime […]

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Python

How to (not) use Docker to share your password with hackers

Do you use Docker images to run your software? Does running or building your image involve a password or other credential that you really (don’t) want to share with hackers? Well, you’re in luck, because Docker makes it really easy to share your passwords, cloud credentials, and SSH private keys with the world. Whether it’s runtime secrets, build secrets, or just some random unrelated credentials you had lying around in the wrong place, Docker’s got you covered when it comes […]

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Natural Language Processing

Identify the emotion of multiple speakers in an Audio Segment

MevonAI-Speech-Emotion-Recognition Identify the emotion of multiple speakers in a Audio Segment Getting Started Follow the Below Instructions for setting the project up on your local Machine. Installation Create a python virtual environment sudo apt install python3-venv mkdir mevonAI cd mevonAI python3 -m venv mevon-env source mevon-env/bin/activate Clone the repo git clone https://github.com/SuyashMore/MevonAI-Speech-Emotion-Recognition.git Install Dependencies cd MevonAI-Speech-Emotion-Recognition/ cd src/ sudo chmod +x setup.sh ./setup.sh Running the Application Add audio files in .wav format for analysis in src/input/ folder Run Speech Emotion […]

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Web Crawling & Web Scraping

Scrape all the media from an OnlyFans account with python

OnlyFans DataScraper (Python 3.9.X) Scrape all the media from an OnlyFans account – Updated regularly. Running the app via docker Build and run the image, mounting the appropriate directories: docker build -t only-fans . && docker run -it –rm –name onlyfans -v ${PWD}/.settings:/usr/src/app/.settings -v ${PWD}/.profiles:/usr/src/app/.profiles -v ${PWD}/.sites:/usr/src/app/.sites only-fans Running on Linux https://github.com/DIGITALCRIMINAL/OnlyFans/discussions/889 Running the app locally From the project folder open CMD/Terminal and run the command below: pip install -r requirements.txt Start: python start_ofd.py or double click start_ofd.py Open and […]

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Machine Learning

A sketch extractor for illustration, anime art, manga

Anime2Sketch Anime2Sketch: A sketch extractor for illustration, anime art, manga By Xiaoyu Xiang Introduction The repository contains the testing codes and pretrained weights for Anime2Sketch. Anime2Sketch is a sketch extractor that works well on illustration, anime art, and manga. It is an application based on the paper “Adversarial Open Domain Adaption for Sketch-to-Photo Synthesis”. Prerequisites Get Started Installation Install the required packages: pip install -r requirements.txt Download Pretrained Weights Please download the weights from GoogleDrive, and put it into the […]

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Machine Learning

A Python library that makes it extremely easy to experiment with state-of-the-art

QuickAI QuickAI is a Python library that makes it extremely easy to experiment with state-of-the-art Machine Learning models. Motivation When I started to get into more advanced Machine Learning, I started to see how these famous neural networkarchitectures(such as EfficientNet), were doing amazing things. However, when I tried to implement these architecturesto problems that I wanted to solve, I realized that it was not super easy to implement and quickly experiment with thesearchitectures. That is where QuickAI came in. It […]

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