dmis-lab/KitcheNette
KitcheNette: Predicting and Recommending Food Ingredient Pairings using Siamese Neural Networks
This helps chefs, food scientists, or recipe developers discover new and complementary ingredient combinations. You provide a list of ingredients, and it predicts how well they would pair together, even for combinations not commonly found in existing recipes. This tool outputs a score for each pairing, suggesting both classic matches and novel culinary ideas.
No commits in the last 6 months.
Use this if you want to explore untapped flavor profiles or find unexpected ingredient synergies for recipe creation and menu development.
Not ideal if you need a tool for ingredient sourcing, nutritional analysis, or detailed cooking instructions.
Stars
81
Forks
16
Language
Python
License
Apache-2.0
Category
Last pushed
Sep 18, 2019
Commits (30d)
0
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