Cogito Ergo Sum's Projects
why-did-you-render by Welldone Software monkey patches React to notify you about potentially avoidable re-renders. (Works with React Native as well.)
A simple function, why, which gives randomly generated answers (please note that not all answers might be helpful).
In this article I try to explain why Haskell keeps being such an important language by presenting some of its most important and distinguishing features and detailing them with working code examples. The presentation aims to be self-contained and does not require any previous knowledge of the language.
PDF generator (from HTML) plugin for Ruby on Rails
🌈 一款基于 Web 的 Go 语言 IDE,随时随地玩 golang。
A Julia package for computing Wigner symbols and related quantities
Wiki for Talon beta
WikiChat stops the hallucination of large language models by retrieving data from Wikipedia.
Code to model Comment-Edit associations in Wikipedia revision histories, based on Zhang et al. (EMNLP 2019)
Wiki Education Foundation's Wikipedia course dashboard system
A tool for extracting plain text from Wikipedia dumps
A paper list of research conducted based on wikiHow
A Pythonic wrapper for the Wikipedia API
Wikipedia
Python wrapper for Wikipedia
This dataset gathers 728,321 biographies from wikipedia. It aims at evaluating text generation algorithms. For each article, we provide the first paragraph and the infobox (both tokenized).
Ruby client for the Wikipedia API
Working with and analyzing Wikipedia Data
This is a mirror of the script by Giuseppe Attardi, and contains history before the official repo started: https://github.com/attardi/wikiextractor --- Extracts and cleans text from Wikipedia database dump and stores output in a number of files of similar size in a given directory.
REPL bot that answers questions by querying Wikipedia and summarizing answers with GPT-3
Frontend to read Wikipedia IPA out loud
A web app for visualizing the connections between Wikipedia pages.
Gather modern English word frequencies from all enwiki articles.
A tool for learning vector representations of words and entities from Wikipedia
Train Word2vec Model based on Wikipedia
Wikipedia API Client Framework for Swift on macOS, iOS, watchOS, and tvOS
An open source toolkit for mining Wikipedia
Wildbook Data Management Layer