https://github.com/dair-ai/deep_affective_layer
:smile: Building a deep learning based affective computing platform
Science Score: 10.0%
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○CITATION.cff file
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○codemeta.json file
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○.zenodo.json file
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○DOI references
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✓Academic publication links
Links to: arxiv.org -
○Committers with academic emails
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (3.2%) to scientific vocabulary
Keywords
affective-computing
deep-learning
emotion-recognition
nlp
pytorch
research
Last synced: 5 months ago
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:smile: Building a deep learning based affective computing platform
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- Stars: 4
- Watchers: 2
- Forks: 5
- Open Issues: 0
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Topics
affective-computing
deep-learning
emotion-recognition
nlp
pytorch
research
Created over 7 years ago
· Last pushed over 7 years ago
Metadata Files
Readme
README.md
Building a Deep Affective Layer
This project aims to build a deep learning based affective computing platform using state of the art techniques.
More information to be uploaded soon!
In the meantime, you can take a look at the presentation I gave at PyConTW 2018. The video discusses and introduces a little bit about the project.
You can also read more about emotion recognition in this paper.
Owner
- Name: DAIR.AI
- Login: dair-ai
- Kind: organization
- Location: Planet Earth
- Website: https://dair-ai.thinkific.com/
- Twitter: dair_ai
- Repositories: 58
- Profile: https://github.com/dair-ai
Democratizing Artificial Intelligence Research, Education, and Technologies
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