| openfoodfacts/openfoodfacts-ai |
187 |
|
0 |
0 |
over 2 years ago |
0 |
|
71 |
|
Python |
| This is a tracking repo for all our AI projects. 🍕 🤖🍼 |
| chambliss/foodbert |
18 |
|
0 |
0 |
over 5 years ago |
0 |
|
|
|
Python |
| FoodBERT: Food Extraction with DistilBERT |
| tylerburleigh/nutritionR |
11 |
|
0 |
0 |
over 6 years ago |
0 |
|
0 |
|
R |
| An R wrapper for the Nutritionix API, allowing nutritional analysis of foods and recipes expressed in natural language |
| local-seasonal/pyfood |
7 |
|
0 |
0 |
over 4 years ago |
0 |
|
4 |
other |
Python |
| 🍋 A Python package to process food |
| MariPlaza/dscooking_old |
6 |
|
0 |
0 |
almost 8 years ago |
0 |
|
0 |
|
Python |
| Data Science Cooking is a personal project to combine Data Science and Cooking. |
| jinudaniel/amazon-fine-food-reviews |
6 |
|
0 |
0 |
over 6 years ago |
0 |
|
0 |
|
Jupyter Notebook |
| Determine the polarity of amazon fine food reviews using ULMFiT, BERT, XLNet and RoBERTa |
| 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. |
| jcharit1/Amazon-Fine-Foods-Reviews |
5 |
|
0 |
0 |
almost 9 years ago |
0 |
|
0 |
mit |
Jupyter Notebook |
| A series of NLP projects with the Amazon Fine Foods Revews dataset |
