Yet another matstat course (ru)

Visualise netCDF wind and temp data on a web map using Leaflet-velocity

Python interactive dashboards for learning data science

A Python implementation of global optimization with gaussian processes.

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

Adding the Intel MKL to a Debian / Ubuntu system via one simple script

A collection of design patterns/idioms in Python

An embarassingly simple progress bar for C++ loops

N-D labeled arrays and datasets in Python

Structure for Unifying Multiple Modeling Alternatives:

An implementation of chunked, compressed, N-dimensional arrays for Python.

Python library to train neural networks with a strong focus on hydrological applications.

Deep Learning with Catalyst

Fiona reads and writes geographic data files

Notebooks about Bayesian methods for machine learning

A sidecar output widget for JupyterLab

Python code to create the Observational Large Ensemble.

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

Universal Regridder for Geospatial Data

Meteorology Simulator

HiPlot makes understanding high dimensional data easy

Coursera Machine Learning By Prof. Andrew Ng

Jupyter metapackage for installation and documentation

A framework for the development and application of hydrological models based on Python

Open data assimilation toolbox

WEB APP of Model HBV96

This notebook compares the performance of three large data set frameworks/libraries

Eigen convenience for catkin

A C++ header-only library of statistical distribution functions.