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The Atmospheric Radiative Transfer Simulator - SVN mirror
High level interface for the Atmospheric Radiative Transfer Simulator (ARTS).
Interactive programming quiz
Python interface to the CAMELS dataset.
A public-domain ML dataset with cats and dogs.
A beamer theme adhering to the Chalmers style guide.
The Chalmers Multi-Satellite Precipitation Retrieval
CHIMP retrievals for SMHI.
Reader for CIP particle image files.
A-train cloud collocations.
Predicting cloud top pressure from MODIS observations using QRNNs.
A proof of concept for a day-1 precipitation (D1P) product.
Toolkit for reading, writing and conversion of various data formats.
Object oriented programming case study.
Deep learning operations reinvented (for pytorch, tensorflow, jax and others)
Package for visualizing and printing earth observation data and viewing geometries.
Typhon development.
Retrieving surface rain rates unsing QRNNs
Neural-network-based implementation of the Goddard Profiling Algorithm
The second exercise set for the PhD course in inverse theory given at the Department of Earth, Space and Environment at Chalmers University of Technology. Unfortunately math markup doesn't work on github, so please refer to document doc/exercise_b.pdf for details.
Bayesian Methods for Inverse Problems
Benchmark datasets for assessing satellite-based precipitation retrievals
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 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. 📊📈🎉
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 ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.