estimate-online-covariance
Provides sklearn-style estimators for incrementally updating covariance, correlation, precision, and location matrices from streaming observations using constant work per observat…
Queries Open Library's public catalog for books, authors, works, editions, ISBNs, ratings, and cover URLs through a keyless Python CLI.
Query the Open Library catalog from the terminal: search books and authors, look up works, editions, and ISBNs, enumerate every edition of a work, read community ratings, and resolve cover-image URLs. Fully keyless public API. Includes the OL…M/W/A key-graph reference, ISBN 302-redirect resolution, search query syntax, covers-host rules, and worked pipelines. Do not use for library-IT administration (Koha/MARC/ILS migration), commercial book-data feeds, or managing your reading account on Open Library itself.
evals/evals.json
JSON
Other
README.md
Markdown
Reference
references/api-overview-and-key-graph.md
Markdown
Reference
references/books-isbn-and-covers.md
Markdown
Reference
references/recipes-and-gotchas.md
Markdown
Reference
references/search-api-guide.md
Markdown
Script
scripts/openlibrary
Script
scripts/test_openlibrary.py
Python
SKILL.md
SKILL.md
Markdown
Provides sklearn-style estimators for incrementally updating covariance, correlation, precision, and location matrices from streaming observations using constant work per observat…
Wraps positional online covariance estimators to process keyed observations whose named series can remain fixed or change dynamically over time.
Enables Python agents to update, assess, compare, and select online covariance, correlation, and precision estimators for streaming or dynamic-universe data.
Recommends covariance estimator classes for a 2-D dataset using dimension, conditioning, rank, correlation, and tail-behavior features, and exposes those features for inspection.
Guides an AI agent through end-to-end Kaggle competitions, including validation, modeling, OOF predictions, ensembling, remote notebook pipelines, artifact handoffs, submission sc…
Analyzes e-commerce reviews using 22-dimension AI tagging to extract customer profiles, pain points, VOC, product opportunities, anomaly signals, reports, dashboards, and optional…
Assesses, designs, and evolves data architectures through workload analysis, platform and modeling tradeoffs, governance, data products, data mesh, event-driven flows, and migrati…
Queries WeatherFlow Tempest station data through REST and local UDP broadcasts, including current conditions, forecasts, historical observations, and decoded real-time sensor mess…