# jiaxiang-cheng/PyTorch-Transformer-for-RUL-Prediction

<https://repo.masters-masters.com/en/repos/jiaxiang-cheng/PyTorch-Transformer-for-RUL-Prediction>

[Home](https://repo.masters-masters.com/en) › [jiaxiang-cheng](https://repo.masters-masters.com/en/owners/jiaxiang-cheng) › [PyTorch-Transformer-for-RUL-Prediction](https://repo.masters-masters.com/en/repos/jiaxiang-cheng/PyTorch-Transformer-for-RUL-Prediction)

jiaxiang-cheng/PyTorch-Transformer-for-RUL-Prediction has 313 stars on GitHub. Its RepoMasters card: Alpha tier. Transformer implementation with PyTorch for…

| Field | Value |
| --- | --- |
| Owner | [jiaxiang-cheng](https://repo.masters-masters.com/en/owners/jiaxiang-cheng) |
| Stars | 313 |
| Forks | 55 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | Apache-2.0 |
| Created | 2021 |
| Topics | transformer, pytorch, pytorch-implementation, remaining-useful-life, cmapss, turbofan-engine, prediction, predictive-maintenance |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [jiaxiang-cheng/PyTorch-Transformer-for-RUL-Prediction](https://github.com/jiaxiang-cheng/PyTorch-Transformer-for-RUL-Prediction) |

## Repository

Transformer implementation with PyTorch for remaining useful life prediction on turbofan engine with NASA CMAPSS data set. Inspired by Mo, Y., Wu, Q., Li, X., & Huang, B. (2021). Remaining useful life estimation via transformer encoder enhanced by a gated convolutional unit. Journal of Intelligent…

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

## More repos by jiaxiang-cheng

- [jiaxiang-cheng/PyTorch-LSTM-for-RUL-Prediction · ★ 187 · Python · Prototype](https://repo.masters-masters.com/en/repos/jiaxiang-cheng/PyTorch-LSTM-for-RUL-Prediction)
- [jiaxiang-cheng/PyTorch-CNN-for-RUL-Prediction · ★ 105 · Python · Prototype](https://repo.masters-masters.com/en/repos/jiaxiang-cheng/PyTorch-CNN-for-RUL-Prediction)

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