| shillyshallysxy/emotion_classifier |
150 |
|
0 |
0 |
over 6 years ago |
0 |
|
9 |
|
Python |
| emotion classifier based on kaggle fer2013 |
| zlpure/Facial-Expression-Recognition |
86 |
|
0 |
0 |
almost 7 years ago |
0 |
|
2 |
mit |
|
| :bulb:My Solution to Facial Emotion Recognization in Kaggle competition |
| rishabhjainps/Facial-Expression-Recognition |
84 |
|
0 |
0 |
over 5 years ago |
0 |
|
2 |
mit |
Python |
| Classify each facial image into one of the seven facial emotion categories considered using CNN based on https://www.kaggle.com/c/challenges-in-representation-learning-facial-expression-recognition-challenge |
| opconty/keras-shufflenetV2 |
75 |
|
0 |
0 |
over 7 years ago |
0 |
|
5 |
|
Python |
| Keras implementation of ShuffleNet V2 |
| neha01/Realtime-Emotion-Detection |
49 |
|
0 |
0 |
over 5 years ago |
0 |
|
1 |
|
Jupyter Notebook |
| Realtime Emotion Detection Using Keras |
| Baticsute/Facial_Expression_Recognition_FER2013 |
8 |
|
0 |
0 |
almost 7 years ago |
0 |
|
3 |
mit |
Python |
| Images and Videos, Real-time Facial Expession Recognition Application with Combine CNN , deep learning features extraction incorporate SIFT, FAST feature . |
| omipan/face-expression-recognition-system |
7 |
|
0 |
0 |
almost 9 years ago |
0 |
|
0 |
|
Python |
| The model was trained with a dataset of approximately 40000 images from the Kaggle Facial Expression Recognition Competition https://www.kaggle.com/c/challenges-in-representation-learning-facial-expression-recognition-challenge/data |
| stuti24m/Real-time-Emotion-Detection |
7 |
|
0 |
0 |
over 5 years ago |
0 |
|
0 |
|
Jupyter Notebook |
| Realtime Emotion Detection Using Keras |
| ENSAJ-PSD-07/Emotion-Detection-From-Facial-Expressions- |
5 |
|
0 |
0 |
over 7 years ago |
0 |
|
0 |
|
HTML |
| Data Science Project |
