Deep Learning

An original implementation of “MetaICL Learning to Learn In Context”

This includes an original implementation of “MetaICL: Learning to Learn In Context” by Sewon Min, Mike Lewis, Luke Zettlemoyer and Hannaneh Hajishirzi. ✨ Check out our demo at qa.cs.washington.edu:2021! ✨ This README is mainly for how to reproduce MetaICL and Channel MetaICL in the paper, but also describe how to reproduce our baselines, including Multi-task zero-shot and various raw LM methods.All methods used in the paper are available in this repo (please see the below table). For any questions about […]

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Django

Django CacheMiddleware has a multi-threading issue with pylibmc

Django CacheMiddleware has a multi-threading issue with pylibmc. CacheMiddleware shares a thread-unsafe cache object with many threads. It worksin most cache backends have Python implementations, but pylibmc is Cwith Python bindings. This is a simple Django project, with only django and pylibmc installed. Juststart it ./manage.py runserver with a localhost memcached and run lots ofconcurrent requests: ab -n100 -c10 http://localhost:8000/ This will trigger some exceptions like:

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App

Application to list countries in order of travel from the United States

API Root: https://countrylist.brodenwanner.com API Docs: https://countrylist.brodenwanner.com/redoc Documentation: https://countrylist.brodenwanner.com/dev/docs/ This project is an application that receives a three-letter code for a North American Country and returns a list ofall countries a driver must travel through to go from the United State of America to the destination. Weuse a simplified map of North America: CAN – Canada borders the United States USA – The United States borders Canada and Mexico MEX – Mexico borders the United States, Guatemala, and Belize BLZ – […]

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BERT

Multi-Level Counterfactual Contrast for Visual Commonsense Reasoning

wget https://repo.anaconda.com/archive/Anaconda3-5.2.0-Linux-x86_64.sh conda update -n base -c defaults conda conda create –name MCC python=3.6 source activate MCC conda install numpy pyyaml setuptools cmake cffi tqdm pyyaml scipy ipython mkl mkl-include cython typing h5py pandas nltk spacy numpydoc scikit-learn jpeg conda install pytorch==1.7.1 torchvision==0.8.2 cudatoolkit=11.0 -c pytorch    

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Twitch

Based on 125GB of data leaked from Twitch, you can see their monthly revenues from 2019-2021

Bu script’i kullanarak istediğiniz yayıncıların, Twitch’den sızdırılan 125 GB’lik veriye dayanarak, 2019-2021 arası aylık gelirlerini görebilirsiniz. Kullanmak için yapılması gerekenler: Bilgisayarınızda Python kurulu olduğuna emin olun. Kurulu değil ise buradan indirebilirsiniz. Twitch’ten sızan datayı indirmeniz gerekmektedir. 2019/2020/2021 ve onların içerisindeki 06/07 gibi isimlendirilmiş klasörlerdeki .rar dosyalarını çıkartmanız gerekmektedir. Yukarıdaki dosyaları indirin ve Twitch datası içerisinde twitch-payouts/all_revenues klasörüne atın. install dosyasını çalıştırın program dosyasına çift tıklayarak programı çalıştırın. Twitch ID bulmak için bu siteye gidebilirsiniz. GitHub View Github    

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Download

Aline file downloader automator

Aline is used for donwloading files with google dorking , dowloading specified links such as dorks. Dependences: python3 installed pip install argparse pip install google How to use: To dork and download filetype files: Reading files and downloading contents: Dorking: This project is for educational porposes only! I do not support any illegal activities!. If any error in the program, talk to me immediatlyOBS: This tool works for linux only. GitHub View Github    

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Attack

Usage of frwk_51pwn for attacking targets without prior mutual consent is illegal

Legal Disclaimer Usage of frwk_51pwn for attacking targets without prior mutual consent is illegal.frwk_51pwn is for security testing purposes only 法律免责声明 未经事先双方同意，使用 frwk_51pwn 攻击目标是非法的。frwk_51pwn 仅用于安全测试目的 Overview frwk_51pwn is an open-sourced remote vulnerability testing and proof-of-concept development framework developed by the 51pwn Team.It comes with a powerful proof-of-concept engine, many powerful features for the ultimate penetration testers and security researchers. Features PoC scripts can running with attack,verify, shell mode in different way Plugin ecosystem Dynamic loading PoC script from any where […]

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Neural Machine Translation (NMT), NMT Leave a comment

Machine Translation Weekly 92: Multilingual Machine Translation with Plug-and-Play Embeddings

Deep learning models are prone to so-called catastrophic forgetting when finetuned on slightly different data than they were originally trained on. Often, they also badly generalize when confronted with data that do not exactly look like those they were trained on. On the other hand, there are more and more tricks on how to just reuse a part of a model that was trained for something else and it just works. I could hardly believe when Tom Kocmi and Ondřej […]

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Natural Language Processing, NLP, Python

The NLP Cypher | 10.31.21

The Localization Problem (LP) is a glaring dark cloud hanging over the state of affairs in applied deep learning. And acknowledging this problem, I believe, will enable us to make better use of applied AI and expand our knowledge in how the business market will form. Defining LP: There is a limit to how much large centralized language models can generalize at scale given: 1) that different users inherently have varying definitions of ground-truths due to inter-dependencies to their unique […]

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