malaya VS face-emotion-recognition

Compare malaya vs face-emotion-recognition and see what are their differences.

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malaya face-emotion-recognition
1 1
457 581
1.3% -
9.0 5.8
8 days ago 20 days ago
Jupyter Notebook Jupyter Notebook
MIT License Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

malaya

Posts with mentions or reviews of malaya. We have used some of these posts to build our list of alternatives and similar projects.
  • Public Sentiment regarding COVID19 from Malay Tweets vs Daily Case Numbers of Malaysia
    1 project | /r/malaysia | 19 Sep 2021
    Hey guys! I've been doing some web scraping on Malay tweets regarding COVID19. I decided to do some sentiment analysis using a NLP model (model is publicly available at https://github.com/huseinzol05/malaya). What the model does is taking in a chunk of text and outputs a sentiment score between 0 to 1 (1 being the text has 100% positive sentiment and 0 being the text is 100% negative). The model is not 100% accurate but it is considered to be comparable to other state-of-the-art models.

face-emotion-recognition

Posts with mentions or reviews of face-emotion-recognition. We have used some of these posts to build our list of alternatives and similar projects.
  • [Research] Emotion recognition using videos on mobile devices
    1 project | /r/MachineLearning | 3 Jun 2021
    Yes, the training code is available in the co-author's github repository: https://github.com/HSE-asavchenko/face-emotion-recognition/tree/main/src There's code for several models that we tried training using the proposed approach. The best one turned out to be the EfficientNet-B0 model.

What are some alternatives?

When comparing malaya and face-emotion-recognition you can also consider the following projects:

pytorch-sentiment-analysis - Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

face-api.js - JavaScript API for face detection and face recognition in the browser and nodejs with tensorflow.js

afinn - AFINN sentiment analysis in Python

human - Human: AI-powered 3D Face Detection & Rotation Tracking, Face Description & Recognition, Body Pose Tracking, 3D Hand & Finger Tracking, Iris Analysis, Age & Gender & Emotion Prediction, Gaze Tracking, Gesture Recognition

tf-transformers - State of the art faster Transformer with Tensorflow 2.0 ( NLP, Computer Vision, Audio ).

fer - Facial Expression Recognition with a deep neural network as a PyPI package

wink-nlp - Developer friendly Natural Language Processing ✨

Speech-Emotion-Classification-by-utilizing-a-Convolutional-Neural-Network - Enhancing Speech Emotion Classification with CNNs: This project seeks to overcome the limitations of traditional approaches and improve the accuracy of emotion recognition. CNNs automatically extract features from speech signals, capturing complex patterns and nuances, leading to enhanced performance compared to traditional methods.

wink-eng-lite-model - English lite language model for wink-nlp.

soxan - Wav2Vec for speech recognition, classification, and audio classification

German-NER-BERT - German NER on Legal Data using BERT

Emotions-Classification - Tells You about the emotion/Sentimental Analysis of a Sentence