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Interpreting geophysical data for Dam Safety
Notebooks to learn data science - Videos https://www.edyoda.com/course/1416
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
Code material for a data science tutorial
IPython notebooks with demo code intended as a companion to the book "Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control" by J. Nathan Kutz and Steven L. Brunton
A collection of tools to collect and download various data.
Direct inversion of Rayleigh wave dispersion data for 3-D azimuthal anisotropy based on ray tracing
Repository for Digital Earth Australia Jupyter Notebooks: tools and workflows for geospatial analysis with Open Data Cube and xarray
Notes on the Deep Learning book from Ian Goodfellow, Yoshua Bengio and Aaron Courville (2016)
Python framework for geophysical inverse problems
Download and merge DEM tiles for processing interferograms with ISCE2
Jupyter notebooks on differential equations and how to solve them using Python.
Course material for the lecture "Differential equations in the earth system" (WS 2019/2020) @ CAU Kiel
SJTU CS386 Digital Image Processing
Lecture notes for a masters course on Digital Signal Processing
Numba-accelerated computation of surface wave dispersion
Python Jupyter notebooks for visualizing dislocation related stresses, strains and forces
Tool for exploring probability distributions.
additional documents like presentations, posters and workshop material
Baysien statistics
Repository for data science book
Direct inversion of surface dispersion data based on ray tracing
This introductory course provides core scientific programming skills required to efficiently work with a suite of earth systems data in the Python programming language.
A course that teaches students how to work with different types of data using the R programming language.
A collection of 300+ Jupyter Python notebook examples for using Google Earth Engine with interactive mapping
A site dedicated to tutorials, course and other learning materials and resources developed by the Earth Lab team
A package built to support working with spatial data using open source python
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.