# tzirakis/Multimodal-Emotion-Recognition

<https://repo.masters-masters.com/en/repos/tzirakis/Multimodal-Emotion-Recognition>

[Home](https://repo.masters-masters.com/en) › [tzirakis](https://repo.masters-masters.com/en/owners/tzirakis) › [Multimodal-Emotion-Recognition](https://repo.masters-masters.com/en/repos/tzirakis/Multimodal-Emotion-Recognition)

tzirakis/Multimodal-Emotion-Recognition has 252 stars on GitHub. Its RepoMasters card: Alpha tier. This repository contains the code for the paper \`End-to-End…

| Field | Value |
| --- | --- |
| Owner | [tzirakis](https://repo.masters-masters.com/en/owners/tzirakis) |
| Stars | 252 |
| Forks | 75 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | BSD-3-Clause |
| Created | 2017 |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [tzirakis/Multimodal-Emotion-Recognition](https://github.com/tzirakis/Multimodal-Emotion-Recognition) |

## Repository

This repository contains the code for the paper \`End-to-End Multimodal Emotion Recognition using Deep Neural Networks\`.

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.
