Python Love Resources

Imputing Out-of-Vocabulary Embeddings with LOVE Makes Language Models Robust with Little Cost LOVE is accpeted by ACL22 main conference as a long pape

Azimuth, an open-source dataset and error analysis tool for text classification, with love from ServiceNow. Overview Azimuth is an open source applica

This simple Python program calculates a love score based on your and your crush's full names in English. There is no logic or reason in the calculation behind the love score. The calculation could have been anything different from what's shown in this code.

Install Bahannya pip install selenium pip install pyfiglet==0.7.5 Cara Install dan Menjalankannya Git-clone this repo! Install selenium and pyfiglet u

duckari A Hikari command handler made with love by ducks. Currently Duckari is work in progress. Documentation is WIP. The wiki is no longer used as d

A Hikari command handler for people who love ducks.

Love-Calculator A GUI love Calculator which saves all the User Data in text file(sql based script will be uploaded soon). Interative GUI, even For Adm

Channel trought Google Drive Google Drive API In this case, "Google Drive App" is the program. To install everything you need(has some extra things),

Whatever you pipe into tull, will get a unique UUID and the data gets stored locally - accessible via a flask server with simple endpoints. You can use ngrok or localtunnel then to share it outside LAN as well. It won't break the console as it also redirects the stream transparently to stdout.

newsboat_video_downloader I sure love the mix of newsboat+mpv+youtube-dl to watch videos from my favourite creators directly from my command line. But

Python-Mp3Mp4-Downloader Music and video downloader, Made with love by Bryan Herrera Requirements CHOCOLATELY windows command If your system does not

Zᴇᴇ5 DL A ᴘᴏᴡᴇʀғᴜʟʟ Zᴇᴇ5 Dᴏᴡɴʟᴏᴀᴅᴇʀ Bᴏᴛ Wɪᴛʜ Pᴇʀᴍᴇɴᴇᴀɴᴛ Tʜᴜᴍʙɴᴀɪʟ Sᴜᴘᴘᴏʀᴛ 💯 Wɪᴛʜ Lᴏᴠᴇ Fʀᴏᴍ NᴇxᴏɴHᴇx Wʜᴀᴛ Cᴀɴ I Dᴏ ? • ɪ ᴄᴀɴ Uᴘʟᴏᴀᴅ ᴀs ғɪʟᴇ/ᴠɪᴅᴇᴏ ғʀᴏᴍ

This tutorial's purpose is to introduce Pythonistas to methods for scaling their data science and machine learning work to larger datasets and larger models, using the tools and APIs they know and love from the PyData stack (such as numpy, pandas, and scikit-learn).

For something in between a pytorch and a karpathy/micrograd This may not be the best deep learning framework, but it is a deep learning framework. Due