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The Teacher Toolbox is a resource hub for educators and administrators to get started with GitHub.
Library Carpentry: Introduction to Working with Data (Regular Expressions)
This repository contains a Python script that allows users to download the audio from a YouTube video, transcribe it into text, detect the language and save the transcription in txt file automatica…
An open-source RAG-based tool for chatting with your documents.
Buckaroo - The data table UI for Notebooks. Quickly explore dataframes, scroll through dataframes, search, sort, view summary stats and histograms. Works with Pandas, Polars, Jupyter, Marimo, VSCod…
📚 Freely available programming books
A huge list of alternatives to Google products. Privacy tips, tricks, and links.
Scrape Facebook public pages without an API key
An AI-powered data science team of agents to help you perform common data science tasks 10X faster.
convert zeeschuimer ndjson to csv in browser
Aria is Your AI Research Assistant Powered by GPT Large Language Models
An R wrapper for Conversation AI's Perspective API
This repository contains all the code used to created tosr package
DMI Service Manager: server to run services on request
DMI implementation of Whisper audio transcription tool
Making Reddit data accessible to researchers, moderators and everyone else. Interact with the data through large dumps, an API or web interface.
The 4CAT Capture and Analysis Toolkit provides modular data capture & analysis for a variety of social media platforms.
Facepager was made for fetching public available data from YouTube, Twitter and other websites on the basis of APIs and webscraping.
¡Camino a una educación autodidacta en Ciencia de Datos!
Grateful Data isn't programming code, but an online tutorial about data acquisition, cleaning and enriching, using publicly accessible data on the band the Grateful Dead as examples. Read the Wiki …
Tools for interactive visual exploration of semantic embeddings.
Blazing fast topic modelling for short texts.
Zero/few shot learning components for scikit-learn pipelines with LLMs and transformers.
Leveraging BERT and c-TF-IDF to create easily interpretable topics.