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Teaching material for the [Neo](https://neo.readthedocs.io) and [Elephant](https://elephant.readthedocs.io) Python Packages

Julia Sprenger b628ac411c gin commit from nit-ope-de04 há 1 ano atrás
elephant_material f80e021469 gin commit from nit-ope-de04 há 3 anos atrás
neo_material f80e021469 gin commit from nit-ope-de04 há 3 anos atrás
reach_to_grasp_material 6d33e52b99 gin commit from inm6183 há 3 anos atrás
.gitignore 798792506e Added html to ignore list há 2 anos atrás
LICENSE 70f15910d1 Initial commit há 3 anos atrás
README.md b628ac411c gin commit from nit-ope-de04 há 1 ano atrás
config.yml f0310b3a73 gin commit from nit-ope-de04 há 3 anos atrás
create_slides.sh b323318281 Slidified tutorial 4 há 3 anos atrás
hands_on_1.ipynb 604e7b9c24 gin commit from nit-ope-de04 há 3 anos atrás
hands_on_1_solution.ipynb 604e7b9c24 gin commit from nit-ope-de04 há 3 anos atrás
hands_on_2.ipynb 604e7b9c24 gin commit from nit-ope-de04 há 3 anos atrás
hands_on_2_solution.ipynb 604e7b9c24 gin commit from nit-ope-de04 há 3 anos atrás
hands_on_3.ipynb ebd7fa1405 Simplified UE tutorial data preparation há 3 anos atrás
hands_on_3_solution.ipynb ebd7fa1405 Simplified UE tutorial data preparation há 3 anos atrás
requirements.ipynb bd1fa97d53 gin commit from nit-ope-de04 há 3 anos atrás
requirements.txt bd1fa97d53 gin commit from nit-ope-de04 há 3 anos atrás
serve_slides.sh f80e021469 gin commit from nit-ope-de04 há 3 anos atrás
tutorial_1.ipynb 8203e72f3c gin commit from nit-ope-de04 há 3 anos atrás
tutorial_2.ipynb 8203e72f3c gin commit from nit-ope-de04 há 3 anos atrás
tutorial_3.ipynb 235668e93a Added executed version of all elephant notebooks há 3 anos atrás
tutorial_4.ipynb b323318281 Slidified tutorial 4 há 3 anos atrás

README.md


title: "GDR NeuralNet Mini School" subtitle: "Neo-Elephant training" author: "Michael Denker, Julia Sprenger, Regimantas Jurkus and Samuel Garcia"

date: "2021-10-21"

Introduction to NEO & Elephant

Using Binder to run Juypter notebooks online

We recommend running the Jupyter notebooks locally, but you can also use the following quick-links to run the Jupyter notebooks on Binder.

Data origin

The two data files provided in the repository are subsets of the data provided by Brochier et al. 2016, see also the corresponding data repository. The data are licensed under a Creative Commons Attribution 4.0 International License