Stars
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
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,…
Streamlit — A faster way to build and share data apps.
💥 Fast State-of-the-Art Tokenizers optimized for Research and Production
A game theoretic approach to explain the output of any machine learning model.
Python utility for visualizing growth data from a newborn's first year, such as feeding, diapering, sleep, and growth, recorded in the Glow Baby app.
50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.
Easy to use Python library of customized functions for cleaning and analyzing data.
🎨 Diagram as Code for prototyping cloud system architectures
Rich is a Python library for rich text and beautiful formatting in the terminal.
Turns Data and AI algorithms into production-ready web applications in no time.
OCR model that handles complex tables, forms, handwriting with full layout.
Python package to accelerate the sparse matrix multiplication and top-n similarity selection
DESC Core Cosmology Library: cosmology routines with validated numerical accuracy
Collection of Snowflake Notebook demos, tutorials, and examples
Data science interview questions and answers
This is a repo with links to everything you'd ever want to learn about data engineering
📖 HonKit is building beautiful books using Markdown - Fork of GitBook
🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models
Visualisations of data are at the core of every publication of scientific research results. They have to be as clear as possible to facilitate the communication of research. As data can have differ…