A latent text-to-image diffusion model

Learn how to design, develop, deploy and iterate on production-grade ML applications.

Data Engineering Zoomcamp is a free 9-week course on building production-ready data pipelines. The next cohort starts in January 2026. Join the course here 👇🏼

This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and cont…

The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…

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

Evidently is ​​an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.

The fastest way to create an HTML app

A better notebook for Scala (and more)

Bayesian optimization in PyTorch

Productivity Tools for Plotly + Pandas

Beaker Extensions for Jupyter Notebook

An open-source data logging library for machine learning models and data pipelines. 📚 Provides visibility into data quality & model performance over time. 🛡️ Supports privacy-preserving data collec…

Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.

Markdown <=> IPython Notebook

Pushdown compute from Snowflake to DuckDB running on your infrastructure

🎬 A reactive (or non-blocking, or asynchronous) JSON parser