davanstrien

machine-learning-librarians-archivists

Introduction to Machine Learning for Librarians & Archivists

datasets

🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools

flyswot-models

flyswot models

hmd_newspaper_dl-1

Bulk download British Library Heritage Made Digital Newspapers 📰

Hub

🔌 A central repository collecting pre-trained adapter modules

IIIF-ML-experiments

piffle

python library for generating and parsing IIIF Image API URLs

sphinx-book-theme

A clean book theme for scientific explanations and documentation with Sphinx

awesome-jupyter

A curated list of awesome Jupyter projects, libraries and resources

BL-datasets-pandas-profile-reports

blog-1

Public repo for HF blog posts

cookiecutter-hypermodern-python

Hypermodern Python Cookiecutter

digitised-books-ocr-and-metadata

British Library Digitised Books c. 1510 - c. 1900: JSONL (OCR derived text & metadata)

doom-emacs

An Emacs framework for the stubborn martian hacker

explore

Community-curated topic and collection pages on GitHub

fastai

The fastai deep learning library, plus lessons and tutorials

flyswot-gym

🦾 training flyswot models (fairly) easily

historical_texts

BigScience working group on language models for historical texts

hypermodern-python

Hypermodern Python

jupyter-book

Build interactive, publication-quality documents from Jupyter Notebooks

kedro

A Python framework for creating reproducible, maintainable and modular data science code.

knockknock

🚪✊Knock Knock: Get notified when your training ends with only two additional lines of code

lam

Libraries, Archives and Museums (LAM)

learn-onnx

meta

A community dedicated to supporting tools for technical and scientific communication and interactive computing

metadata-working-group

A collection of Jupyter notebooks used for interactive learning sessions in the AI4LAM Metadata working group meetings. Jupyter Book available at https://ai4lam.github.io/metadata-working-group/

mypy

Optional static typing for Python 3 and 2 (PEP 484)

nnanno

Sample, annotate and apply computer vision to the Newspaper Navigator dataset

Programming-Historian-Computer-Vision-Lessons-submission

Materials for Programming Historian Lessons on Computer Vision

xyzservices

Source of XYZ tiles providers