Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. 🐳Docker-friendly.⚡Always in sync with Sharepoint, Google Drive, S3, Kafka, PostgreSQL, real-time data APIs,…

Google Research

The fastai deep learning library

The fastai book, published as Jupyter Notebooks

The "Python Machine Learning (1st edition)" book code repository and info resource

Draw pretty maps from OpenStreetMap data! Built with osmnx +matplotlib + shapely

Foundational Models for State-of-the-Art Speech and Text Translation

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

Automatic extraction of relevant features from time series:

AI Observability & Evaluation

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K…

Developer APIs to Accelerate LLM Projects

Brushing and linking for big data

The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalML

Croissant is a high-level format for machine learning datasets that brings together four rich layers.

Practical Data Engineering: A Hands-On Real-Estate Project Guide

Python binding for Microsoft LightGBM

Explainer for black box models that predict molecule properties

Recipes for using Python's polars library

Python implementation of the R stargazer multiple regression model creation tool

Pushdown compute from Snowflake to DuckDB running on your infrastructure

Magic functions for using Jupyter Notebook with Apache Spark and a variety of SQL databases.

Rhythm Pattern music feature extractor by IFS @ TU-Vienna

Educational resources

Short Course - Applied Machine Learning for Security Informatics

Twitter sentiment analysis based on Apache Spark, MLlib, Scala and Akka.

XAI based human-in-the-loop framework for automatic rule-learning.

An example project for duckdb delta integration

Streaming machine learning using PyTorch, Flink, and ONNX