# ustc-time-series/TimeDART

<https://repo.masters-masters.com/en/repos/ustc-time-series/TimeDART>

[Home](https://repo.masters-masters.com/en) › [ustc-time-series](https://repo.masters-masters.com/en/owners/ustc-time-series) › [TimeDART](https://repo.masters-masters.com/en/repos/ustc-time-series/TimeDART)

ustc-time-series/TimeDART has 159 stars on GitHub. Its RepoMasters card: Prototype tier. \[ICML 2025\] Official PyTorch implementation of the paper: 🎯…

| Field | Value |
| --- | --- |
| Owner | [ustc-time-series](https://repo.masters-masters.com/en/owners/ustc-time-series) |
| Stars | 159 |
| Forks | 13 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | None |
| Created | 2024 |
| Topics | autoregressive, diffusion, pretraining, time-series |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [ustc-time-series/TimeDART](https://github.com/ustc-time-series/TimeDART) |

## Repository

\[ICML 2025\] Official PyTorch implementation of the paper: 🎯 TimeDART: A Diffusion Autoregressive Transformer for Self-Supervised Time Series Representation

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

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