emotion-classifier VS fer

Compare emotion-classifier vs fer and see what are their differences.

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emotion-classifier fer
1 3
6 317
- -
10.0 3.9
over 1 year ago about 1 month ago
Jupyter Notebook Jupyter Notebook
- MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

emotion-classifier

Posts with mentions or reviews of emotion-classifier. We have used some of these posts to build our list of alternatives and similar projects.

fer

Posts with mentions or reviews of fer. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-04-22.

What are some alternatives?

When comparing emotion-classifier and fer you can also consider the following projects:

OpenAI-CLIP - Simple implementation of OpenAI CLIP model in PyTorch.

soxan - Wav2Vec for speech recognition, classification, and audio classification

Transformer-Models-from-Scratch - implementing various transformer models for various tasks

face-emotion-recognition - Efficient face emotion recognition in photos and videos

handson-ml - ⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.

TensorFlow-Examples - TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

Speech-Emotion-Classification-by-utilizing-a-Convolutional-Neural-Network - Enhancing Speech Emotion Classification with CNNs: This project seeks to overcome the limitations of traditional approaches and improve the accuracy of emotion recognition. CNNs automatically extract features from speech signals, capturing complex patterns and nuances, leading to enhanced performance compared to traditional methods.

BigDL - Accelerate local LLM inference and finetuning (LLaMA, Mistral, ChatGLM, Qwen, Baichuan, Mixtral, Gemma, etc.) on Intel CPU and GPU (e.g., local PC with iGPU, discrete GPU such as Arc, Flex and Max). A PyTorch LLM library that seamlessly integrates with llama.cpp, Ollama, HuggingFace, LangChain, LlamaIndex, DeepSpeed, vLLM, FastChat, etc.