An emotion driven movie recommendation system.
-
Updated
Sep 18, 2024 - Python
An emotion driven movie recommendation system.
A CNN model for emotion detection using the FER2013 dataset with scripts and a Jupyter notebook for analysis.
A ready-to-use Facial Expression Recognition model using MobileNet on augmented FER2013 dataset. Val accuracy > 89%
Facial Expression Recognition using CLIP encoder as Feature Extractor
ICPR 2020: Facial Expression Recognition using Residual Masking Network
Face Detection and Emotion Recognition models to capture and interpret facial expressions
Efficient Ensemble Model for Facial Expression Recognition
An emotion detection CNN-based model that can detect emotions from images in real-time
Tensorflow Implementation of DeepEmotion for Facial Expression Recognition
Facial Expression Recognition with a deep neural network as a PyPI package
A Face Emotion Recognizer
facEmotion is a academic project. it intergrate a custom built pure cnn based facial emotion recogtion model with accuracy of 64% in a web that implements technology like webRTC and asunchronous js.
A real-time application using Python and OpenCV for detecting and color-coding human emotions live via webcam. Utilizes the RMN model on FER-2013 dataset, made useful for user interaction.
Using Keras (Tensorflow), CNN and OpenCV, this model accurately identifies emotions from facial expressions in real-time video streams.
A Federated Learning Platform For Facial Expression Recognition using the Flower framework and FER2013 dataset.
Emotion classifier implemented in pytorch
Examining different architectures of famous artificial intelligence networks using fer2013 dataset
A repository for Facial Emotion Recognition using CNN and personalized Song recommendations based on the mood of the user
Graduation project
Add a description, image, and links to the fer2013 topic page so that developers can more easily learn about it.
To associate your repository with the fer2013 topic, visit your repo's landing page and select "manage topics."