SalesforceAIResearch / uni2ts
Unified Training of Universal Time Series Forecasting Transformers
Why this job: works in the areas we cover, but does not say which job it does
What it does
Uni2TS is a PyTorch based library for research and applications related to Time Series Forecasting. It provides a unified framework for large-scale pre-training, fine-tuning, inference, and evaluation of Universal Time Series Transformers.
Get started
git clone https://github.com/SalesforceAIResearch/uni2ts.git
cd uni2ts - Maintenance
- Active
- Last commit 5 months ago
- Stars
- 1,625
- +6 this week
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- 2.0.0
- Released 12 months ago
- Built with
- Jupyter Notebook
- 63% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 64% closed
- 44 still open
- Pull requests
- 50 merged
- 5 waiting
- Releases
- 3
- 0 in the last year
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More: languages, topics and project record
Languages
- Jupyter Notebook 63%
- Python 36%
- Shell 1%
- Makefile <1%
Topics
- deep-learning
- forecasting
- machine-learning
- pre-trained-models
- pre-training
- representation-learning
- time-series
- time-series-forecasting
- transformers
- universal-forecasting
Project record
- JobOther AI tools
- StatusListed
- Commits115
- Forks223
- Watching9
- Stars in 28 days+18
- CreatedFeb 7, 2024
- First seen by usNov 7, 2026
- CheckedNov 8, 2026