Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

Synthetic data generators for tabular and time-series data

The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

Jupyter notebooks for h3-py, a hierarchical hexagonal geospatial indexing system

Vizro is a low-code toolkit for building high-quality data visualization apps.

LLM101n: Let's build a Storyteller

[UNMAINTAINED] Automated machine learning for analytics & production

💬 Language Identification with Support for More Than 2000 Labels -- EMNLP 2023

Repository with notebooks and libraries used in my blog and beyond

A C library for parsing/normalizing street addresses around the world. Powered by statistical NLP and open geo data.

Python bindings to libpostal for fast international address parsing/normalization

DSPy: The framework for programming—not prompting—language models

Probabilistic Entity Matching in Python

A retrieval augmented generation system to query the morning conferences of the mexican president.

name-suggestion-index collector scripts

Canonical common brand names, operators, transit and flags for OpenStreetMap.

Applied Geospatial Data Science with Python, published by Packt

Converts a polygon into a set of geohashes with arbitrary precision.

Repo for O'Reilly's Python Code Cleanup live training

An extension to the Apache Spark framework that allows easy and fast processing of very large geospatial datasets.

Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable,…

Deepparse is a state-of-the-art library for parsing multinational street addresses using deep learning

A next-generation curated knowledge sharing platform for data scientists and other technical professions.