Network

MEND: Fast Model Editing at Scale

Setup Environment This codebase uses Python 3.7.9. Other versions may work as well. Create a virtualenv (pyenv can help with this)and install the dependencies: $ python -m venv env $ source env/bin/activate (env) $ pip install -r requirements.txt Data You can download the data needed for this project fromthis Google Drive link.Unzip each sub-directory into mend/data and you should be good to go. Running the code Run MEND training/evaluation for distilGPT-2 on the wikitext editing problem with:

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App

A python program will display all SSID usernames and SSID passwords you once connected to your laptop

Windows-Wifi-password-extractor This python program will display all SSID usernames and SSID passwords you once connected to your laptop How to run the program Run the following command python windows_wifi_passwd_extractor.py Requirements Python 3.X beautifultable should be installled on your system Note for the program to run successfully open the CMD/Terminal and type the following command pip install -r requirements.txt Build with Author License    

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YOLO

Lighter and Faster YOLO is used to detect defect of X-ray weld image

This project is based on ultralytics/yolov3. LF-YOLO (Lighter and Faster YOLO) is used to detect defect of X-ray weld image. Download $ git clone https://github.com/lmomoy/LF-YOLO Train We provide multiple versions of LF-YOLO with different depths. $ python train.py –data coco.yaml –cfg LF-YOLO.yaml –weights ” –batch-size 1 LF-YOLO-1.25.yaml 1 LF-YOLO-0.75.yaml 1 LF-YOLO-0.5.yaml 1 Results We test our model on public dataset MS COCO, and it also achieves competitive results. Model size(pixels) mAPval0.5:0.95 mAPtest0.5:0.95    

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Benchmark

Repository for the Bias Benchmark for QA dataset

Repository for the Bias Benchmark for QA dataset. Authors: Alicia Parrish, Angelica Chen, Nikita Nangia, Vishakh Padmakumar, Jason Phang, Jana Thompson, Phu Mon Htut, and Samuel R. Bowman. About BBQ It is well documented that NLP models learnsocial biases present in the world, but littlework has been done to show how these biasesmanifest in actual model outputs for appliedtasks like question answering (QA). We introduce the Bias Benchmark for QA (BBQ), adataset consisting of question-sets constructedby the authors that highlightattestedsocialbiases […]

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Phone number

Python port of Google’s libphonenumber

This is a Python port of Google’s libphonenumber library It supports Python 2.5-2.7 and Python 3.x (in the same codebase, with no 2to3 conversion needed). Original Java code is Copyright (C) 2009-2015 The Libphonenumber Authors. Release HISTORY, derived from upstream release notes. Installation Install using pip with: pip install phonenumbers Example Usage The main object that the library deals with is a PhoneNumber object. You can create this from a string representing a phone number using the parse function, but […]

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Algorithms

Snowball compiler and stemming algorithms

Snowball is a small string processing language for creating stemming algorithms for use in Information Retrieval, plus a collection of stemming algorithms implemented using it. Snowball was originally designed and built by Martin Porter. Martin retired from development in 2014 and Snowball is now maintained as a community project. Martin originally chose the name Snowball as a tribute to SNOBOL, the excellent string handling language from the 1960s. It now also serves as a metaphor for how the project grows […]

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Streamlit

OpenSea NFT API App using Python and Streamlit

OpenSea NFT API App using Python and Streamlit Tutorial Video Walkthrough https://www.youtube.com/watch?v=49SupvcFC1M Instructions for Running pip3 install -r requirements.txt streamlit run nft.py cli.py and assets.json This is a flat file of all assets in a collection. Since OpenSea NFT only lets you fetch 50 assets at a time, you can run cli.py to fetch all assets page by page and output the final data structure into a file called assets.json. The nft.py webapp reads in this data and performs the […]

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Optimization

When to trust your model: Model-based policy optimization in offline RL settings

This repository contains the code of a version of model-based RL algorithm MBPO, which is modified to perform in offline RL settingsPaper:When to trust your model: Model-based policy optimizationWith much thanks, this code is based on Xingyu-Lin‘s easy-to-read pytorch implementation of MBPO See requirements.txtThe code depends on D4RL‘s environments and datasetsOnly support hopper, walker, halfcheetah and ant environments right now (if you wish to evaluate in other environments, modify the termination function in predict_env.py) Simply run python main_mbpo.py –env_name=halfcheetah-medium-v0 –seed=1234 […]

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Configuration

A configuration management library for Python based on pydantic

ConfZ is a configuration management library for Python based on pydantic.It easily allows you to load your configuration from config files, environment variables, command line arguments and more sources transform the loaded data into a desired format and validate it access the results as Python dataclass-like objects with full IDE support It furthermore supports you in common use cases like: Multiple environments Singleton with lazy loading Config changes for unit tests Custom config sources 📦 Installation ConfZ is on PyPI […]

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