Dea María Léon

scikit-learn: machine learning in Python

Extremely lightweight compatibility layer between Polars, pandas, cuDF, and Modin. Work-in-progress

An AI assistant to answer questions about a book database

Sparse multi-dimensional arrays for the PyData ecosystem

Conbench adapter

Neural translation model

Pictures tool

Doctolib appointment availability

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Hosting the scikit-learn blog.

Kaggle Python docker image

Async Techniques and Examples in Python Course

Introduction to scikit-learn for the TRACES program

Prepping tables for machine learning

Pandas DataFrames as Interactive DataTables

Testing asv benchmarks

💻 Source code for Quansight Consulting and Labs websites

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The Contributor Experience Handbook

Extra blocks for scikit-learn pipelines.

Django first website

Language-independent Continuous Benchmarking (CB) Framework

Interactive examples conversion

This repository includes resources for prompt engineering.

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

Useful resources and materials for the EuroPython 2022 mentored sprint

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Repository with materials and instructions to setup your environment for the WiMLDS Paris' sprint

Classifies real house number pictures (SVHN dataset) with neural networks using Tensorflow2