# KFO-Gen ONNX conversion

Original work: Jingzhi Zhang, Huadong Xing, Antonella Di Pizio, Qinfei Ke, Xingran Kou, Dachuan Zhang.
Molecular Atlas of Key Food Odorants Reveals Mixture-Level Organization and Enables Generative Aroma Design.
https://doi.org/10.1002/advs.77740
Model: https://zenodo.org/records/22291915
Dataset: https://zenodo.org/records/22291472
License: Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0).
https://creativecommons.org/licenses/by-nc/4.0/

Changes: exported pretrained decoder and MLP to ONNX; included classifier standardization in its graph. No retraining. Component names and category labels supplied as JSON. Noncommercial use only under the source license; commercial use requires author permission. This conversion is not an official service or an endorsement by the original authors.