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

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