Food vectors. Live demo at https://altosaar.github.io/food2vec/, blog post with more information and pretty plots here: https://jaan.io/food2vec-augmented-cooking-machine-intelligence/

Train a model on the recipes dataset, replicate the results from the blog post:

git clone [email protected]:altosaar/food2vec.git
cd food2vec/src
./blog_experiment.sh

# run t-sne and make the plots for the ingredient embeddings
jupyter notebook ./src/plot_ingredients_recipes.ipynb

https://gist.github.com/altosaar/67d8456ad28acd1abb497f1950d8de8a

Pull requests and all feedback welcome! Please file an issue if you run into problems replicating the results.

TODOs:

• get more data
• convert jupyter notebook for plotting into one python script
• write scripts to figure out the right vocabulary
• fit a better model (e.g. the exact multi-class regression implemented in this repo at https://github.com/altosaar/food2vec/blob/master/src/food2vec.py) -- if you manage to get better results than the live demo at https://altosaar.github.io/food2vec/ just submit a pull request with the new assets/data/wordVecs.js and I'll happily update it :)
• compare the above model embeddings to the word2vec_optimized.py embeddings
• make the UI of the website more user-friendly and mobile-friendly

Thanks to Anthony for open-sourcing a javascript embedding browser -- the one here is heavily based on it.