Contributors: Jesper Dramsch
Name: Jesper Dramsch
Login: JesperDramsch
Email: jesper@dramsch.net
Description: Scientist for Machine Learning. 🦾
Parselmouth. 🐍
You miss 99% of the benchmarks you don't overfit on.
Website: dramsch.net
Location: Bonn
Company: @ECMWF
Repositories count: 96
Last synced at: 2023-05-19T13:39:01.753Z
OST Projects: 3
Languages: , Jupyter Notebook, Python
Categories: Atmosphere, Sustainable Development
Sub Categories: Atmospheric Composition and Dynamics, Curated Lists, Education
Topics: cheatsheet, geochemistry, geology, geophysics, geostatistics, groundwater, modflow, open-science, reservoir-modeling, seismic, subsurface, jupyter-book, ml4science, reproducibility, software-sustainability, swung-t20, complex, complex-numbers, container, madagascar, seismic-analysis, seismic-processing, seismicunix, seisunix, unix, interpretation, malenov, resnet-50, transfer-learning, vgg16, reservoir-engineering, data-management, data-mining, petroleum, petrophysics, swung-stack, seismology, data-center, earthquakes, lgplv3, observatories, signal-processing, waveforms, web-services, formation-pressure, geomechancis, geopressure, pore-pressure-prediction, convolutional-neural-network, convolutional-neural-networks, deep-neural-networks, deeplearning, distributed, python-framework, python-tensorflow, tensorflow2, tf-module, alignment, flexible, anemoi
Contributed Projects
Awesome Open Geoscience
Curated from repositories that make our lives as geoscientists, hackers and data wranglers easier or just more awesome.
awesome awesome-list cheatsheet geochemistry geology geophysics geoscience geosciences geospatial geostatistics groundwater modflow open-data open-science open-source python reservoir-modeling seismic simulation subsurface
Sustainable Development - Curated Lists - Last synced: 31 May 2026 - Ranking: 12.0
MOOC Machine Learning in Weather & Climate
Explore the application of Machine Learning across the main stages of numerical weather and climate prediction.
Sustainable Development - Education - Last synced: 31 May 2026 - Ranking: 8.1
ANEMOI
An open-source, Python-based framework developed collaboratively by ECMWF and several European national meteorological services. It is designed to facilitate the development, training, and deployment of machine learning (ML) models for weather forecasting. As an 'end to end' framework, it provides a comprehensive toolkit that spans data preparation, model training, and inference, enabling meteorological organizations to leverage their own data for ML-based weather prediction.
Atmosphere - Atmospheric Composition and Dynamics - Last synced: 31 May 2026 - Ranking: 7.3
