The world's simplest facial recognition api for .NET on Windows, MacOS and Linux

This repository contains the official release of the model "BanglaBERT" and associated downstream finetuning code and datasets introduced in the paper titled "BanglaBERT: Language Model Pretraining and Benchmarks for Low-Resource Language Understanding Evaluation in Bangla" accpeted in Findings of the Annual Conference of the North American Chap…

A Survey and Experiments on Annotated Corpora for Emotion Classification in Text

Pytorch Implementation of GoEmotions 😍😢😱

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

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

Indonesian twitter dataset for emotion classification task

SpanEmo

Korean version of GoEmotions Dataset 😍😢😱

The repo contains an audio emotion detection model, facial emotion detection model, and a model that combines both these models to predict emotions from a video

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

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

基于 RoBERTa-wwm-ext 模型的微博中文情绪识别

[RAVDESS] Speech Emotion Recognition with Convolutional Attention based Bi-GRU. (Best test accuracy of 87%)

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

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

Real-time Emotion Recognition using Physiological signals in e-Learning Here one can find the development of realtime emotion recognition using various physiological signals

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).

Single-label and multi-label classifiers to detect emotions in lyrics achieved 0.65 and 0.82 F1 scores respectively.

Logistic regression, text emotion classifier web application (with Streamlit), from data preprocession to model productionizing and deployment on Streamlit share.