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Emotion Detection Python Packages

Python packages with the GitHub topic emotion-detection. Sorted by relevance, with stars and monthly downloads.
justinshenk
fer

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

20K 426 90
HSE-asavchenko
hsemotion-onnx

Efficient face emotion recognition in photos and videos

3K 1K 150
sb-ai-lab
emotiefflib

Efficient face emotion recognition in photos and videos

3K 1K 150
HSE-asavchenko
hsemotion

Efficient face emotion recognition in photos and videos

2K 1K 150
MilaNLProc
feel-it

A python package for sentiment analysis and emotion recognition in italian

1K 27 5
tanaos
artifex

Small Language Model Inference, Fine-Tuning, Evaluation and Observability.

1K 92 13
phamquiluan
rmn

ICPR 2020: Facial Expression Recognition using Residual Masking Network

718 511 102
AlkaSaliss
democlassi

Collection of my python functions for training pytorch models to classify emotion, age, race, gender

336 30 17
akshaychikhalkar
face-mood-analyzer

AI-powered emotion analyzer that detects faces in photos, analyzes emotions, and generates corresponding music. Built with Python, Flask, and deep learning models (TensorFlow, PyTorch, DeepFace). Features real-time face detection, emotion analysis, and interactive web interface.

309 0 0
ikegami-yukino
pymlask

Emotion analyzer for Japanese text

295 116 25
JinfenLi
multi-emotion-recognition

a deep learning tool to recognize multiple emotions in a sentence

227 4 0
JinfenLi
multi-emotion

a deep learning tool to recognize multiple emotions in a sentence

208 4 0
buckster123
hermes-eeg

EEG/BCI neural interface plugin for Hermes Agent — OpenBCI hardware + real-time emotion detection + AI-readable felt experience format

137 3 1
chigwell
keyinfostruct

keyinfostruct extracts and structures key info from personal texts, highlighting main points, emotions, and suggested actions for better organization.

77 1 0
agn-7
tweet-getter

Get Tweets by IDs through Twitter's API

66 7 1
chigwell
vibe-analyzer

A new package that analyzes user-provided text to detect and categorize the overall emotional tone or "vibe" of the content. It processes input text and returns a structured summary of the detected em

55 1 0
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