Stars
A single CLAUDE.md file to improve Claude Code behavior, derived from Andrej Karpathy's observations on LLM coding pitfalls.
OmniCloudMask is a Python library for fast, accurate cloud and cloud shadow segmentation in satellite imagery.
A registry of publicly available datasets on AWS
Produce STAC catalogue files from cog files on s3
VDO.Ninja is a powerful tool that lets you bring remote video feeds into OBS or other studio software via WebRTC.
Repository with working examples using the Planet API for imagery, vegetation indices, and Planetary Variables (Soil Moisture, Biomass, etc.)
See all scikit-image methods for image creation & manipulation and their output at a glance.
An open-source toolkit for animal re-identification
uBlock Origin filter list to hide YouTube Shorts
a tiny ruby library for one-dimensional clustering methods.
K8sQuest — A local, hands-on Kubernetes learning game with real-world troubleshooting challenges. Practice Pods, Deployments, Services, networking, storage, and debugging using kubectl on a local c…
WildlifeDatasets: An open-source toolkit for animal re-identification
a collection of datasets for the re-identification of animal individuals
GDAL is an open source MIT licensed translator library for raster and vector geospatial data formats.
Collection of library stubs for Python, with static types
A Python package for smoothing and refining geometries derived from raster data classifications. Smoothify transforms jagged polygons and lines resulting from raster-to-vector conversion into smoot…
Python programs, usually short, of considerable difficulty, to perfect particular skills.
A concise, beginner-friendly introduction to the core ideas of linear algebra.
An open-source, wireless, split ergonomic keyboard designed to be productive, healthy, and enjoyable.
A technical report on convolution arithmetic in the context of deep learning
Learn OpenCV : C++ and Python Examples
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.
Notebooks and code for the book "Introduction to Machine Learning with Python"