https://github.com/brainhack101/introML

Landing page for scikit learn and nilearn tutorials, originally curated for MAIN 2018 conference
https://github.com/brainhack101/introML

Last synced: 2 days ago
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Landing page for scikit learn and nilearn tutorials, originally curated for MAIN 2018 conference

• Host: GitHub
• URL: https://github.com/brainhack101/introML
• Owner: brainhack101
• License: mit
• Created: 2018-11-28T23:13:31.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2019-02-06T18:01:14.000Z (over 5 years ago)
• Last Synced: 2024-03-03T21:35:02.321Z (4 months ago)
• Language: Jupyter Notebook
• Homepage: https://brainhack101.github.io/introML
• Size: 5.57 MB
• Stars: 11
• Watchers: 7
• Forks: 5
• Open Issues: 3
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

Lists

• awesome-stars - introML

README

        
## IntroML Resources @ MAIN 2018

Welcome to the educational workshops @ MAIN 2018! On this page you'll find resources for the courses entitled,

"[Machine learning for neuroimaging with Scikit-learn and nilearn](./course-outline.md),"

and,

"[Deep Learning for Neuroimaging](./dl-course-outline.md)"

Register on [EventBrite](https://www.eventbrite.ca/e/deep-learning-in-neuroimaging-machine-learning-scikit-learn-nilearn-tickets-53388406160){: .btn} !

Join the [brainhack slack](https://brainhack-slack-invite.herokuapp.com/) and the #main-dl-2018 (Dec 11th) and/or #main-nilearn-2018 (Dec 12th) channel. 

Breakfast (8:30 am) and lunch are included. The training sessions will run from 9 am to 5 pm both days. All training sessions will be at the Groupe Maurice amphitheatre, at the [centre de recherche de l'institut de gériatrie de Montréal](https://goo.gl/maps/ouhdXKKWtko). 4545 Queen Mary Rd, Montreal, QC H3W 1W6, Canada. Metro station: snowdon (orange/blue lines), côte-des-neiges (blue line). 

![CRIUGM](criugm.jpg)

### Usage

To use the docker image, first after cloning the repository and cd to it, build it :

```

sudo docker build --tag=introml .

```

You can now run the container :

```

sudo docker run -p 8888:8888 -it introml jupyter notebook --no-browser --ip=0.0.0.0

```