Render

Render LaTeX markup and equations to compact, self-aligning, scalable SVG (Python3 & commandline)

Python wrapper and CLI utility to render LaTeX markup and equations as SVG usingdvisvgm and svgo. Based on the original work by Tino Wagner, this version has enhanced features. The design goals are: Auto vertical alignment without any further styling. by adding a style=”vertical-align:” to the SVG attributes Auto scaling on font size/zoom change. by using em units for width, height and style Unique IDs so multiple SVGs on one page won’t corrupt each other. by generating random 4-character ID […]

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Facebook

Fb cloning tool made faster

Facebook cloning command=>>⚠️FLASH ONE⚠️ termux-setup-storage pkg update && upgrade pkg install python2 pkg install request pkg install mechanize pkg install git pkg install futures pkg install lolcat git clone https://github.com/CyberDemon404/FLASH-ONE python2 Flash-1.py USERNAME: PASSWORD:    

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Detection

Earthquake detection on fiber-optic data using machine learning

Getting started Update the submodules After cloning the repository, run the following commands to initialize andupdate the submodules. git submodule init git submodule update Requirements You can run the project from an interactive bash session within the providedDocker container: docker run –gpus all -it fantine/ml_framework:latest bash If you do not have root permissions to run Docker, Singularity might be a good alternative for you. Refer tocontainers/README.md for more details. Folder structure bin: Scripts to run machine learning jobs. catalog: Earthquake […]

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Scripts

Set of scripts & tools for converting between numbers and major system encoded words

Set of scripts & tools for converting between numbers and major system encoded words. Uses phonetics instead of letters to convert, sorts by word frequency and indicates part of speech. For an explanation of the major system, check out the wikipedia page To learn the major system, check out my anki deck. (Github repository) msc.go CLI client for looking up words for a given number. Compile using go build, run using ./msc. Example: ./msc -d assets/major_system_lookup_250k.csv Results Resulting words are […]

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tensorflow

Mostly revolving around the Danbooru20xx dataset

Repo for my Tensorflow/Keras CV experiments. Mostly revolving around the Danbooru20xx dataset Framework: TF/Keras 2.7 Training SQLite DB built using fire-egg’s tools: https://github.com/fire-eggs/Danbooru2019 Currently training on Danbooru2021, 512px SFW subset (sans the rating:q images that had been included in the 2022-01-21 release of the dataset) Reference: Anonymous, The Danbooru Community, & Gwern Branwen; “Danbooru2021: A Large-Scale Crowdsourced and Tagged Anime Illustration Dataset”, 2022-01-21. Web. Accessed 2022-01-28 https://www.gwern.net/Danbooru2021 Journal 06/02/2022: great news crew! TRC allowed me to use a bunch of […]

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Tracker

Nubank expense tracker for python

This is an independent project to track Nubank expenses. To fetch Nubank data we are going to use an unofficial Nubank API, that is going to be explained later. This data will be kept in a database container to be used and analyzed later. The main goal of this project is to put in practice technologies such as containers, docker-compose, python, network between containers and so on. This project is under development… How to set things up To set up […]

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YOLO

The backbone CSPDarkNet of YOLOX

The backbone CSPDarkNet of YOLOX. In this project, you can enjoy: CSPDarkNet-S CSPDarkNet-M CSPDarkNet-L CSPDarkNet-X CSPDarkNet-Tiny CSPDarkNet-Nano As far as I know, it is difficult for many researchers to train YOLOv5 or YOLOX from scratch because they, including me, do not have sufficient computing resources. Therefore, a pre-trained backbone is still important. In addition, since YOLOv5 and YOLOX are excellent object detectors, their backbones theoretically perform better than imagenet pretrained weights. Therefore, based on the above two reasons, I deliberately […]

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Document

Various technical documentation, in electronically parseable format

Various technical documentation, in electronically parseable format. You will need Python 3 to run the scripts and programs in this project. The parseable format commonly used in this project is JSON. Books are referenced by the name of the .json file in books/*.json. Each *.json file describes the book in more detail. Node that while the json does list parts, chapters, sections, etc. only the chapters actually referenced by the documentation are listed, at least initially.    

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Function

A stack-based systems language that supports structures, functions, expressions, and user-defined operator behaviour

A stack-based systems language that supports structures, functions, expressions, and user-defined operator behaviour. Currently compiles to URCL with plans to add additional formats in the future. Why Python? The initial implementation of this compiler is written in Python. This allowed for flexibility during development and guaranteed portability across major platforms. This compiler may be ported to other languages in the future should the need arise. Invoking the Compiler python gb.py -o MyProgram.urcl MyProgram.gb Argument Description gb.py This is the main […]

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