# mims-harvard/TFC-pretraining

<https://repo.masters-masters.com/en/repos/mims-harvard/TFC-pretraining>

[Home](https://repo.masters-masters.com/en) › [mims-harvard](https://repo.masters-masters.com/en/owners/mims-harvard) › [TFC-pretraining](https://repo.masters-masters.com/en/repos/mims-harvard/TFC-pretraining)

mims-harvard/TFC-pretraining has 535 stars on GitHub. Its RepoMasters card: Alpha tier. Self-supervised contrastive learning for time series via…

| Field | Value |
| --- | --- |
| Owner | [mims-harvard](https://repo.masters-masters.com/en/owners/mims-harvard) |
| Stars | 535 |
| Forks | 97 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2022 |
| Topics | consistency-models, contrastive-learning, deep-learning, pre-trained-model, representation-learning, self-supervised-learning, time-series |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [mims-harvard/TFC-pretraining](https://github.com/mims-harvard/TFC-pretraining) |

## Repository

Self-supervised contrastive learning for time series via time-frequency consistency

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.