AlexanderVNikitin / tsgm
Generation and evaluation of synthetic time series datasets (also, augmentations, visualizations, a collection of popular datasets) NeurIPS'24
Why this job: topics: synthetic-data, datasets
What it does
TSGM is an open-source framework for synthetic time series dataset generation and evaluation.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Inactive
- Last commit 8 months ago
- Stars
- 232
- On GitHub
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v0.1.0
- Released 12 months ago
- Built with
- Python
- 99% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 56% closed
- 16 still open
- Pull requests
- 24 merged
- 8 waiting
- Releases
- 7
- 0 in the last year
- Contributing guide (opens in new tab)
- No security policy
- No code of conduct
Similar repos
| Repo | Stars | Last commit | Licence | Downloads for |
|---|---|---|---|---|
| tensorflow / datasets | 4,611 | yesterday | Apache-2.0 | No downloads |
| Data-Centric-AI-Community / fg-data-synthetic | 1,664 | 6 months ago | MIT | No downloads |
| sdv-dev / SDV | 3,605 | 3 days ago | Custom | No downloads |
More: languages, topics and project record
Languages
- Python 99%
- Makefile 1%
Topics
- deep-learning
- machine-learning
- synthetic-data
- time-series
- vae
- data-augmentation
- python
- generative-model
- augmentations
- keras
- tensorflow2
- data-science
Project record
- JobFine-tuning
- StatusListed
- Commits151
- Forks26
- Watching5
- Stars in 28 days0
- CreatedJun 3, 2022
- First seen by usNov 7, 2026
- CheckedNov 8, 2026