Starred repositories
149
results
for source starred repositories
written in Jupyter Notebook
Clear filter
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
A collection of various deep learning architectures, models, and tips
Learn ML engineering for free in 4 months! Register here 👇🏼
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 Jupyter Notebooks behind my OReilly report, "A Whirlwind Tour of Python"
A collection of 360+ Jupyter Python notebook examples for using Google Earth Engine with interactive mapping
Well-documented Python demonstrations for spatial data analytics, geostatistical and machine learning to support my courses.
Global shoreline mapping tool from satellite imagery
Tutorials and content created by Earth Engine users, for Earth Engine users
DiffusionFastForward: a free course and experimental framework for diffusion-based generative models
Course materials for: Geospatial Data Science
Cursos completos de IA dictados por Humai
GeostatsPy Python package for spatial data analytics and geostatistics. Started as a reimplementation of GSLIB, Geostatistical Library (Deutsch and Journel, 1992) from Fortran to Python, Geostatist…
GeoTorchAI: A Framework for Training and Using Spatiotemporal Deep Learning Models at Scale
Learn the language basics in this 10-part course.
A clean book theme for scientific explanations and documentation with Sphinx
Code examples for the book titled Introduction to GIS Programming
Tutorial on geospatial data manipulation with Python
Patchwork for matplotlib: A subplot manager for intuitive layouts in matplotlib and seaborn.
Multiscale Geographically Weighted Regression (MGWR)
Various examples for Google Earth Engine in Python using Jupyter Notebook
Super-Resolution of Sentinel-2 Images: Learning a Globally Applicable Deep Neural Network
Geostatistical variogram estimation expansion in the scipy style
statistics and classes for exploratory spatial data analysis
Earth Engine and Geemap: Geospatial Data Science with Python
pyGIS is an online textbook covering all the core geospatial functionality available in Python. This includes handling vector and raster data, satellite remote sensing, machine learning and deep le…
Python for GIS and Geoscience - specialist course Doctoral schools of Ghent University
🛣 Building an end-to-end Promptable Semantic Segmentation (Computer Vision) project from training to inferencing a model on LandCover.ai data (Satellite Imagery).