emotion-classifier VS HugsVision

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

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emotion-classifier HugsVision
1 1
6 188
- -
10.0 0.0
over 1 year ago 9 months 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.

HugsVision

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

What are some alternatives?

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

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

poolformer - PoolFormer: MetaFormer Is Actually What You Need for Vision (CVPR 2022 Oral)

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

Real-time-Object-Detection-for-Autonomous-Driving-using-Deep-Learning - My Computer Vision project from my Computer Vision Course (Fall 2020) at Goethe University Frankfurt, Germany. Performance comparison between state-of-the-art Object Detection algorithms YOLO and Faster R-CNN based on the Berkeley DeepDrive (BDD100K) Dataset.

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

fashionpedia-api - Python API for Fashionpedia Dataset

ganspace - Discovering Interpretable GAN Controls [NeurIPS 2020]

CoordConv

Transformer-Explainability - [CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.

Vision-Project-Image-Segmentation

T2T-ViT - ICCV2021, Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet

CoordConv - Pytorch implementation of "An intriguing failing of convolutional neural networks and the CoordConv solution" - https://arxiv.org/abs/1807.03247