| torralba-lab/im2recipe |
216 |
|
0 |
0 |
over 8 years ago |
0 |
|
4 |
mit |
Python |
| Code supporting the CVPR 2017 paper "Learning Cross-modal Embeddings for Cooking Recipes and Food Images" |
| altosaar/food2vec |
207 |
|
0 |
0 |
almost 4 years ago |
0 |
|
1 |
mit |
Jupyter Notebook |
| :hamburger: |
| hwang1996/ACME |
34 |
|
0 |
0 |
almost 7 years ago |
0 |
|
2 |
gpl-3.0 |
Python |
| Learning Cross-Modal Embeddings with Adversarial Networks for Cooking Recipes and Food Images |
| dmis-lab/KitcheNette |
25 |
|
0 |
0 |
over 6 years ago |
0 |
|
0 |
apache-2.0 |
Python |
| KitcheNette: Predicting and Recommending Food Ingredient Pairings using Siamese Neural Networks |
| IBPA/LOVE |
9 |
|
0 |
0 |
over 3 years ago |
0 |
|
2 |
apache-2.0 |
Python |
| Learning Ontologies Via Embeddings |
| ngoquanghuy99/Sentiment-classification-of-Amazon-fine-food-reviews |
6 |
|
0 |
0 |
over 5 years ago |
0 |
|
0 |
mit |
Python |
| A deep learning model (Bidirectional LSTM) using pretrained word embeddings to do sentiment analysis on Amazon fine food reviews dataset. |
| ChantalMP/Exploiting-Food-Embeddings-for-Ingredient-Substitution |
6 |
|
0 |
0 |
over 3 years ago |
0 |
|
0 |
|
Python |
| Official repository of the paper "Exploiting Food Embeddings for Ingredient Substitution". |
