Stars
Slides for my talk at EuroSciPy 2024, titled 'The Array API Standard in SciPy'
PyCodeHash is a generic data and code hashing library that facilitates downstream caching.
Bootstrap Kubernetes the hard way. No scripts.
Python library for GraphBLAS: high-performance sparse linear algebra for scalable graph analytics
Course Material for the Tutorial on Privacy Enhancing Technologies and PPML
skops is a Python library helping you share your scikit-learn based models and put them in production
Advanced Privacy-Preserving Federated Learning framework
Concrete ML: Privacy Preserving ML framework using Fully Homomorphic Encryption (FHE), built on top of Concrete, with bindings to traditional ML frameworks.
PyGWalker: Turn your pandas dataframe into an interactive UI for visual analysis
GrAIdient is a deep learning framework that aims at challenging the way we train and run models.
Dockerfile linter, validate inline bash, written in Haskell
Merlion: A Machine Learning Framework for Time Series Intelligence
just a bunch of useful embeddings for scikit-learn pipelines
🧙 Build, run, and manage data pipelines for integrating and transforming data.
Référentiel d'évaluation data science responsable et de confiance
A Python package to assess and improve fairness of machine learning models.
Monitor the stability of a Pandas or Spark dataframe ⚙︎
Introduction to Machine Learning with Time Series at PyData Festival Amsterdam 2020
Anonymization of legal cases (Fr) based on Flair embeddings
An elaborate and exhaustive paper list for Named Entity Recognition (NER)
💥 Fast State-of-the-Art Tokenizers optimized for Research and Production
Extra blocks for scikit-learn pipelines.
PRML algorithms implemented in Python
The fastai book, published as Jupyter Notebooks