Loading repository data…
ECCO-GROUP / repository
This repository contains a several tutorials for using the ECCO Central Production Version 4 ocean and sea-ice state estimate. Individiual lessons are provided as both Juypter notebooks (Tutorials_as_Jupyter_Notebooks/ ) and Python file (Tutorials_as_Python_Files/).
Content:
This repository contains a Python tutorial for using the ECCO Central Production version 4 ocean and sea-ice state estimate. Directories within the repository include the (tutorial documentation) and individiual lessons from the tutorial as Juypter notebooks ([model settings (Tutorials_as_Jupyter_Notebooks/ and Tutorials_as_Python_Files/).
As of May, 2023 the tutorials have been udpated for ECCO V4r4. Tutorials that refer to files from V4r3 are also available.
If user support is needed, please contact ecco-support@mit.edu.
[Estimating the Circulation and Climate of the Ocean]: http://ecco.jpl.nasa.gov, http://ecco-group.org/
References:
Forget, G., J.-M. Campin, P. Heimbach, C. N. Hill, R. M. Ponte, and C. Wunsch, 2015: ECCO version 4: an integrated framework for non-linear inverse modeling and global ocean state estimation. Geoscientific Model Development, 8, 3071-3104, http://dx.doi.org/10.5194/gmd-8-3071-2015, http://www.geosci-model-dev.net/8/3071/2015/
Forget, G., J.-M. Campin, P. Heimbach, C. N. Hill, R. M. Ponte, and C. Wunsch, 2016: ECCO Version 4: Second Release, http://hdl.handle.net/1721.1/102062, [direct download][]
Selected from shared topics, language and repository description—not editorial ratings.
milaan9 /
This repository contains Python games that I've worked on. You'll learn how to create python games with AI. I try to focus on creating board games without GUI in Jupyter-notebook.
janblechschmidt /
This repository contains a number of Jupyter Notebooks illustrating different approaches to solve partial differential equations by means of neural networks using TensorFlow.
integrativebioinformatics /
This repository contains scNotebooks, a collection of interactive Jupyter and Google Colab notebooks designed to teach and practice single‑cell and spatial transcriptomics. The notebooks guide learners through the complete workflow from introductory steps and single‑cell pipelines to diverse analytical approaches, and FAIR and sharing data
dipanjanS /
This repository will contain the presentation and python jupyter notebooks for the DataHack Summit 2024 conference talk, Improving Real-world Retrieval Augmented Generation Systems, focusing on the key challenges and practical solutions of how to solve them
laxmimerit /
This repository contains implementations of Retrieval-Augmented Generation (RAG) in Jupyter notebooks. It includes examples of building chatbots with and without history, processing PDFs with RAG, and using DeepSeek models for local RAG and financial document analysis.
StephanRhode /
This repository contains jupyter notebooks and python code for KIT course: Python Algorithms for Automotive Engineering