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

Michael Denker b323318281 Slidified tutorial 4 2 سال پیش
elephant_material f80e021469 gin commit from nit-ope-de04 2 سال پیش
neo_material f80e021469 gin commit from nit-ope-de04 2 سال پیش
reach_to_grasp_material 6d33e52b99 gin commit from inm6183 2 سال پیش
.gitignore 8203e72f3c gin commit from nit-ope-de04 2 سال پیش
LICENSE 70f15910d1 Initial commit 2 سال پیش
README.md 1187374ea8 gin commit from nit-ope-de04 2 سال پیش
config.yml f0310b3a73 gin commit from nit-ope-de04 2 سال پیش
create_slides.sh b323318281 Slidified tutorial 4 2 سال پیش
hands_on_1.ipynb 604e7b9c24 gin commit from nit-ope-de04 2 سال پیش
hands_on_1_solution.ipynb 604e7b9c24 gin commit from nit-ope-de04 2 سال پیش
hands_on_2.ipynb 604e7b9c24 gin commit from nit-ope-de04 2 سال پیش
hands_on_2_solution.ipynb 604e7b9c24 gin commit from nit-ope-de04 2 سال پیش
hands_on_3.ipynb ebd7fa1405 Simplified UE tutorial data preparation 2 سال پیش
hands_on_3_solution.ipynb ebd7fa1405 Simplified UE tutorial data preparation 2 سال پیش
requirements.ipynb bd1fa97d53 gin commit from nit-ope-de04 2 سال پیش
requirements.txt bd1fa97d53 gin commit from nit-ope-de04 2 سال پیش
serve_slides.sh f80e021469 gin commit from nit-ope-de04 2 سال پیش
tutorial_1.ipynb 8203e72f3c gin commit from nit-ope-de04 2 سال پیش
tutorial_2.ipynb 8203e72f3c gin commit from nit-ope-de04 2 سال پیش
tutorial_3.ipynb 235668e93a Added executed version of all elephant notebooks 2 سال پیش
tutorial_4.ipynb b323318281 Slidified tutorial 4 2 سال پیش

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