human-emotions

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Vidhi1290 / Deep-Learning-for-EEG-Emotion-Classification
This repository contains a Python code script for performing emotion classification using EEG (Electroencephalogram) data. Emotion classification from EEG signals is an important application in neuroscience and human-computer interaction. The code leverages deep learning techniques to analyze EEG data and predict emotional states.
coorelation data-exploration data-preprocessing data-science data-visualization deep-learning deep-learning-algorithms eeg-emotion-recognition emotion-prediction feature-analysis heatmap machine-learning machine-learning-algorithms pie-chart spectral-analysis time-series-visualization egg-signals emotion-distribution human-emotions
Language:Jupyter Notebook 10
AjNavneet / Emotion_Classification_RoBERTa_XLNet
RoBERTa and XLNet models to perform classification on the human emotion.
human-emotions nlp roberta-model text-classification xlnet-model
Language:Jupyter Notebook

Vidhi1290 / Deep-Learning-for-EEG-Emotion-Classification