# stuarteiffert/RNN-for-Human-Activity-Recognition-using-2D-Pose-Input

<https://repo.masters-masters.com/en/repos/stuarteiffert/RNN-for-Human-Activity-Recognition-using-2D-Pose-Input>

[Home](https://repo.masters-masters.com/en) › [stuarteiffert](https://repo.masters-masters.com/en/owners/stuarteiffert) › [RNN-for-Human-Activity-Recognition-using-2D-Pose-Input](https://repo.masters-masters.com/en/repos/stuarteiffert/RNN-for-Human-Activity-Recognition-using-2D-Pose-Input)

stuarteiffert/RNN-for-Human-Activity-Recognition-using-2D-Pose-Input has 294 stars on GitHub. Its RepoMasters card: Alpha tier. Activity Recognition from 2D…

| Field | Value |
| --- | --- |
| Owner | [stuarteiffert](https://repo.masters-masters.com/en/owners/stuarteiffert) |
| Stars | 294 |
| Forks | 76 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | None |
| Created | 2018 |
| Topics | activity-recognition, lstm, deep-learning, pose-estimation |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [stuarteiffert/RNN-for-Human-Activity-Recognition-using-2D-Pose-Input](https://github.com/stuarteiffert/RNN-for-Human-Activity-Recognition-using-2D-Pose-Input) |

## Repository

Activity Recognition from 2D pose using an LSTM RNN

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.