The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

Best Practices, code samples, and documentation for Computer Vision.

Build animated charts in Jupyter Notebook and similar environments with a simple Python syntax.

Context geo-tiles in Python

Code for Implement DNS in a Weekend

Course over intermediate Python

A tool to visualize high dimensionality sensitivity analysis data

Repo for Vizzu workshop materials.

attempt at swag design for scipy 2022

Community blog posts on scientific-python.org

Poisson disc sampling in arbitrary dimensions using Bridson's algorithm

Taking the original authors' TD3, converting items to notebooks, and modifying from there.