SemEval2024-task 11: Bridging the Gap in Text-Based Emotion Detection

This repository is the official code for ResEmoteNet. The project is written in Python using PyTorch in MacBook Pro (M2 Pro 10-core CPU and 16-core GPU).

Text Emotion System Sentiment Analysis (TESSA) is an open-source project focused on sentiment analysis. 💬

The Emotion 300 Project: An Emotion Classification Messaging App w/ P300 Speller.

3DiVi Face SDK is a set of software components (code libraries) for building face recognition solutions

Model untuk Project Tugas Akhir (Skripsi), berupa website rekomendasi musik dengan AI, berdasarkan deteksi genre musik & emosi pengguna

Develop machine learning models to classify emotions in text samples.

AI & BC Course Project

Небольшой проект в рамках учёбы, я написал нейросеть на JS с которой через взаимодействие с HTML, вы можете обучить её определять эмоцию рисунков, которые будете ей рисовать.

Streamlit application that classifies the emotions of cats from uploaded images.

A Deep Learning project to analyse speech signals from the audio files and identify the emotions of the speaker

Generación de Playlists Basadas en el Reconocimiento de Emociones

An emotion classifier of text containing technical content from the SE domain

Emotion text classification using Llama3-8b with LoRA and FlashAttention. Based on LLaMA-Factory.

Project Babble Module for VRCFaceTracking v5. An open-source VR mouth tracking solution

Emotionally responsive Virtual Metahuman CV with Real-Time User Facial Emotion Detection (Unreal Engine 5).

TextPredict is a powerful Python package designed for various text analysis and prediction tasks using advanced NLP models. It simplifies the process of performing sentiment analysis, emotion detection, zero-shot classification, named entity recognition (NER), and more.

GiMeFive: Towards Interpretable Facial Emotion Classification 😄😲😭😡🤢😨 (PyTorch Implementation)

A flexible text emotion classifier with support for multiple models, customizable preprocessing, visualization tools, fine-tuning capabilities, and more.