Command-line Tools

All the knowledge of the astrophysics data system and the speed of the command line

An unofficial command line interface for the SAO/NASA Astrophysics Data System. Make queries from the command line as in the webbrowser: $ ads -q “author:^livingston year:2010-2022” Common query elements are implemented as short-hands such as -y|–year,-fa|–first-author, -a|–author: $ ads -fa jenkins -y 2020 Then fuzzy-search the results based on year, author, and title and open the selected article as PDF: Note that entries without open-access PDFs available are dimmed.See ads –help more information. A command-line fuzzy-finder: fzf, version 0.27 or […]

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Automation

Automatically email Macfolk their pending updates

Notifier is a Python Script to send emails to Mac users with pending updates (according to Jamf patchmanagement) using the Jamf API and SMTP! How it works Grab API username and password the JAMFREPORTUSER and JAMFREPORTPASS environment variables. Get a bearer token from the Jamf server. This is used for all further authentication. Gets a list of all Patch Management titles on the Jamf server For each Patch Management title, get a list of every version Record the first version […]

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Tool

Decompilation as a Service. Explore multiple decompilers and compare their output with minimal effort

Explore multiple decompilers and compare their output with minimal effort. Upload binary, get decompilation. Supported Decompilers angr Ghidra IDA Binary Ninja Note: For IDA and Binary Ninja, you must provide license and binaries. angr and Ghidra will be downloaded automatically. Components Each decompiler is a service that runs in its own container A frontend web service proxies requests to backend service Install You’ll need to add your proprietary packages in backend/*/private. Then just: COMPOSE_DOCKER_CLI_BUILD=1 DOCKER_BUILDKIT=1 docker compose build Run Point […]

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Data Visualization

A repository used to provide an introduction to dataviz in Python

This repository contains an introduction to dataviz in Python with a focus on browser based, interactive dataviz. Installation git clone https://github.com/MarcSkovMadsen/dataviz-in-python.git python -m venv .venv source .venv/Scripts/activate pip install -e .[all] Serve the presentation panel serve src/dataviz_in_python/presentation/*.py You can view the presentation at http://localhost:5006/introduction. GitHub View Github    

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Detection

Using YOLOv5 as detection on VIBE

VIBE is a classic 3D pose esitmation methods. But the original version is very slow no matter on detction tracking or rendering. In this branch new version, I make it re-born. The promote are: using YOLOv5 and DeepSort as tracking module, it’s faster and accurator; using realrender for rending, discard old and stupid pyrender; results: a video link: CPU实时的检测跟踪，同时跑3D姿态检测 – 金天的视频 – 知乎https://www.zhihu.com/zvideo/1483234969724538880 Check our YouTube videos below for more details. Paper Video Qualitative Results

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Tool

Tools for checking ACL paper submissions

ACL pubcheck is a Python tool that automatically detects author formatting errors, margin violations as well as many other common formatting errors in papers that are using the LaTeX sty file associated with ACL venues. The script can be used to check your papers before you submit to a conference. (We highly recommend running ACL pubcheck on your papers pre-submission—a well formatted paper helps keep the reviewers focused on the scientific content.) However, its main purpose is to ensure your […]

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PyTorch

A basic and simple training framework for pytorch. Easy to expand for multi network interaction

[TOC] Introduction A basic and simple training framework for pytorch, easy for extension. Dependence torch==1.7.0+cu110 torchvision==0.8.0 easydict==1.9 tensorboard==2.7 tensorboardX==2.4 PyYAML==5.3.1 Features Any module can be easily customized Not abstract, easy to learn, develop and debug With a lot of repetitive work reduction, it can be more easily control the training process in development and research Friendly to multi-network interactive training, such as GAN, transfer learning, knowledge distillation, etc. Train python main.py –model resnet18 –save_dir cifar100_resnet18 –config_path ./configs/cifar100.yml Results CIFAR100 All […]

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