ruorala,github

cntk

Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit

cs231nassignment

Stanford CS231n assignment in 2019 spring

emopy

A deep neural net toolkit for emotion analysis via Facial Expression Recognition (FER)

emotion-recognition-1

Emotion Classification on FerPlus Dataset

emotion_classification

facial expression recognition with Pytorch

emotion_classifier

emotion classifier based on kaggle fer2013

facial-emotion-recognition

A facial emotion recognition program implemented in Python using TensorFlow, Keras and OpenCV and trained on the FER2013 dataset with FERPlus' labels.

facial-expression-detection

Facial Expression or Facial Emotion Detector can be used to know whether a person is sad, happy, angry and so on only through his/her face. This Repository can be used to carry out such a task.

facial-expression-recognition

Facial-Expression-Recognition in TensorFlow. Detecting faces in video and recognize the expression(emotion).

facial-expression-recognition-1

Facial expression recognition deep learning examples

facial-expression-recognition-2

:bulb:My Solution to Facial Emotion Recognization in Kaggle competition

facial-expression-recognition-3

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

facial-expression-recognition-4

The main purpose of the project - recognition of emotions based on facial expressions. Cohn-Kanade data set (http://www.pitt.edu/~emotion/ck-spread.htm) is used for explorations and training

facial-expression-recognition-5

Facial Expression Recognition Using CNN and Haar-Cascade

facial-expression-recognition-svm

Training SVM classifier to recognize people expressions (emotions) on Fer2013 dataset

facial-expression-recognition-using-cnn

Deep facial expressions recognition using Opencv and Tensorflow. Recognizing facial expressions from images or camera stream

facial-expression-recognition.pytorch

A CNN based pytorch implementation on facial expression recognition (FER2013 and CK+), achieving 73.112% (state-of-the-art) in FER2013 and 94.64% in CK+ dataset

facialemotionrecognition

Using Extended Cohn-Kanade AU-Coded Facial Expression Database to classify basic human facial emotion expressions using ann

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