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OpenGeoHub Summer School: Mastering Machine Learning - Lecture and Training
A (very) short introduction to R
๐คน Shiny tips & tricks for improving your apps and solving common problems
Notebooks and documentation for AI-for-Earth-managed datasets on Azure
Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost
Applied mathematics problems with Open Source Software: Operational Research with Python and R.
Implementations for a family of attention mechanisms, suitable for all kinds of natural language processing tasks and compatible with TensorFlow 2.0 and Keras.
Pytorch implementation of Augmented Neural ODEs :sunflower:
Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Now updated with Dask to handle millions of rows.
Machine learning and process automation
This repo includes ChatGPT prompt curation to use ChatGPT better.
A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries.
A curated list of awesome tools, tutorials, code, helpful projects, links, stuff about Earth Observation and Geospatial stuff!
:globe_with_meridians: List of 500+ geospatial companies (GIS, Earth Observation, UAV, Satellite, Digital Farming, ..)
List of datasets, papers, and codes related to multimodal/multisource/multisensor remote sensing classification
Tutorials on statistical model fitting (optimization, Bayesian inference) for Day 2 of BAMB! 2022.
Machine Learning models using a Bayesian approach and often PyMC3
A small wrapper to do Beta Boosting with XgBoost
The package employs a combination of time series models: SARIMA and Prophet. Required installations to run the package: Stats models, Prophet.
Blender addons to make the bridge between Blender and geographic data
borb is a library for reading, creating and manipulating PDF files in python.
Conformal Time Series Forecasting Using State of Art Machine Learning Algorithms
R interface for working with the CAMELS dataset (Newman et al, 2014; Addor et al, 2017)
An R package for causal inference in time series
Groundwater Time Series Modeling Challenge
My cheatsheets
A declarative, efficient, and flexible JavaScript library for building user interfaces.
๐ Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. ๐๐๐
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google โค๏ธ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.