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 git@github.com: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.jsand I'll happily update it :) - compare the above model embeddings to the
word2vec_optimized.pyembeddings - 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.