An AI Hedge Fund Team

[WIP] Resources for AI engineers. Also contains supporting materials for the book AI Engineering (Chip Huyen, 2025)

On-device intelligence.

📚 Process PDFs, Word documents and more with spaCy

PyMuPDF is a high performance Python library for data extraction, analysis, conversion & manipulation of PDF (and other) documents.

Plumb a PDF for detailed information about each char, rectangle, line, et cetera — and easily extract text and tables.

Convert PDF to markdown + JSON quickly with high accuracy

A lightweight, low-dependency, unified API to use all common reranking and cross-encoder models.

Code for "Is There a Replication Crisis in Finance" by Jensen, Kelly and Pedersen (2023)

Retrieve, Read and LinK: Fast and Accurate Entity Linking and Relation Extraction on an Academic Budget (ACL 2024)

Open-source web platform used to create live reporting dashboards from APIs, MongoDB, Firestore, MySQL, PostgreSQL, and more 📈📊

Blazing-fast Data-Wrangling toolkit

Maestro: Netflix’s Workflow Orchestrator

ETL, Analytics, Versioning for Unstructured Data

CLI tool to extract (meta)data from PDF and manipulate PDF files

Leveraging BERT and c-TF-IDF to create easily interpretable topics.

Top2Vec learns jointly embedded topic, document and word vectors.

Text preprocessing, representation and visualization from zero to hero.

A textual TUI for Prodigy

A complete daily plan for studying to become a machine learning engineer.

100 Days of ML Coding

Data science interview questions and answers

TheBloke's Dockerfiles

AICI: Prompts as (Wasm) Programs

Distributed data engine for Python/SQL designed for the cloud, powered by Rust

Draw datasets from within Jupyter.

Source for book "Feature Engineering A-Z"