continualai/website

ContinualAI Jekyll website - NOW DEPRECATED

ContinualAI - Jekyll Website now DEPRECATED

We moved to GitBook. If you want to help us maintain the new website, please send and email to [email protected].

Continual AI is the first hub on Continual / Lifelong Deep Learning in AI! :-) The aim of the project is to provide a starting point for researchers, developers and AI enthusiasts who share an interest or are willing to learn more and/or contribute to Continual / Lifelong Learning. We are building an open-source, collaborative wiki at continualai.org as well as creating a community of CL enthusiasts! Join us today on slack! :D

How to contribute

1. Star the project :-)

2. Join our community on Slack: https://continualai.herokuapp.com/

3. Start making changes to the *.md files from the browser (use the 'Preview' button)

4. Commit the changes!

How to contribute (like a pro)

1. Star the project :-)

2. Join our community on Slack: https://continualai.herokuapp.com/

3. Fork the repo on GitHub and clone it locally

4. Enter the folder:

   cd website-wiki

5. If you don't have gem and bundler installed:

   apt-get install rubygems
gem install bundler

6. Install Ruby gems:

   bundle install

7. Start Jekyll server:

   jekyll serve --incremental

8. Now you can start making changes on the see the result in your browser at http://localhost:4000/

9. Make a Pull Request (with only the .md or original .html files)! :D

website's Issues

Typo

https://avalanche.continualai.org/from-zero-to-hero-tutorial/04_training

"Additional arguments are optional and allow you to customize training (batch size, epochs, ...) or strategy-specific parameters (buffer size, regularization strenght, ...)."

maybe should read: regularization strength

Dead Link

In:
https://avalanche.continualai.org/from-zero-to-hero-tutorial/03_benchmarks#benchmarks-generators

Text Extract:
"Of course also the basic utilities ImageFolder and DatasetFolder can be used. These are two classes that you can use to create a Pytorch Dataset directly from your files (following a particular structure). You can read more about these in the Pytorch official documentation here."

Link Leads to:
https://pytorch.org/docs/stable/torchvision/datasets.html#imagefolder

I believe the link should now be:
https://pytorch.org/vision/stable/datasets.html#torchvision.datasets.ImageFolder