# hmvu-nv/Few-shot-via-ensembling-Transformer-with-Mahalanobis-distance

<https://repo.masters-masters.com/en/repos/hmvu-nv/Few-shot-via-ensembling-Transformer-with-Mahalanobis-distance>

[Home](https://repo.masters-masters.com/en) › [hmvu-nv](https://repo.masters-masters.com/en/owners/hmvu-nv) › [Few-shot-via-ensembling-Transformer-with-Mahalanobis-distance](https://repo.masters-masters.com/en/repos/hmvu-nv/Few-shot-via-ensembling-Transformer-with-Mahalanobis-distance)

hmvu-nv/Few-shot-via-ensembling-Transformer-with-Mahalanobis-distance has 150 stars on GitHub. Its RepoMasters card: Prototype tier. Language: Python.

| Field | Value |
| --- | --- |
| Owner | [hmvu-nv](https://repo.masters-masters.com/en/owners/hmvu-nv) |
| Stars | 150 |
| Forks | 15 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2024 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [hmvu-nv/Few-shot-via-ensembling-Transformer-with-Mahalanobis-distance](https://github.com/hmvu-nv/Few-shot-via-ensembling-Transformer-with-Mahalanobis-distance) |

## Repository

\[IEEE TIM\] This is official code for paper "Few-Shot Bearing Fault Diagnosis via Ensembling Transformer-based Model with Mahalanobis Distance Metric Learning from Multiscale Features". IEEE Transactions on Instrumentation and Measurement (Accepted)

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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