Stars
Model Context Protocol Servers
GeoAI: Artificial Intelligence for Geospatial Data
🚀 Generate GitHub profile README easily with the latest add-ons like visitors count, GitHub stats, etc using minimal UI.
😎 A curated list of awesome GitHub Profile which updates in real time
The open source repository for Electricity Maps App and data parsers that enables a real-time visualisation of the CO2 emissions of electricity consumption
Real Time Energy and Carbon Standards for Cloud Providers
R package that helps create and export ggplot2 charts in the style used by the BBC News data team
A Python software stack for retrieving hydroclimate data from web services.
A beautiful, simple, clean, and responsive Jekyll theme for academics
Climate integration meta-repository for conducting integrated experiments
🎨🎨🎨 Collection of most color palettes in a single R package
Code Repository for Machine Learning with PyTorch and Scikit-Learn
A directory and analysis of the open source ecosystem in the areas of climate change, sustainable energy, biodiversity and natural resources. https://docs.getgrist.com/gSscJkc5Rb1R/OpenSustaintech
Set up your GitHub Actions workflow with conda via miniconda
TODOr - RStudio add-in for finding TODO, FIXME, CHANGED etc. comments in your code.
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06
Worldwide building footprints derived from satellite imagery
A Python package for interactive geospatial analysis and visualization with Google Earth Engine.
A simple, fast and user-friendly alternative to 'find'
Python library to train neural networks with a strong focus on hydrological applications.
Interactive 2D scatter plot widget for Jupyter Lab and Notebook. Scales to millions of points!
ggplot extension: options for tailored facets, multiple colourscales and miscellaneous
The official repository for the Weather Research and Forecasting (WRF) model
🎄Visualization and annotation of phylogenetic trees
Enhancing {ggplot2} plots with statistical analysis 📊📣