SalesforceAIResearch/uni2ts
Unified Training of Universal Time Series Forecasting Transformers
- Stars
- 1.6k
- Forks
- 221
- Open issues
- 45
- Last push
- 4mo ago
About uni2ts
uni2ts is a free, open-source machine learning tool by SalesforceAIResearch, written mainly in Jupyter Notebook. Unified Training of Universal Time Series Forecasting Transformers. It has 1.6k GitHub stars and 221 forks, and was last updated 4mo ago. It's released under the Apache-2.0 license, a standard open-source license.
- License
- Apache-2.0
- Language
- Jupyter Notebook
- Stars
- 1,614
- Last update
- 4mo ago
- Runs on Mac
- Not stated
- GPU
- Not stated
- Paid API key
- Not stated
- Self-hostable
- Yes
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uni2ts FAQ
Is uni2ts free?
Yes. uni2ts is open source and free to use. It's released under the Apache-2.0 license, a standard open-source license.
Does uni2ts run on a Mac?
The project doesn't say. Check its installation guide before you start.
Does uni2ts need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is uni2ts still maintained?
It was last updated 4mo ago. Check recent issues on GitHub to judge how active it is.
What are alternatives to uni2ts?
Similar free, open-source tools include pytorch-image-models, ludwig, SwanLab, imbalanced-learn.