Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/sktime/sktime-dl
DEPRECATED, now in sktime - companion package for deep learning based on TensorFlow
https://github.com/sktime/sktime-dl
deep-learning longitudinal-data machine-learning neural-networks panel-data scikit-learn time-series time-series-classification time-series-forecasting time-series-regression
Last synced: 7 days ago
JSON representation
DEPRECATED, now in sktime - companion package for deep learning based on TensorFlow
- Host: GitHub
- URL: https://github.com/sktime/sktime-dl
- Owner: sktime
- License: bsd-3-clause
- Created: 2019-07-24T12:08:53.000Z (over 5 years ago)
- Default Branch: master
- Last Pushed: 2024-08-02T16:30:37.000Z (4 months ago)
- Last Synced: 2024-10-30T02:37:36.843Z (about 1 month ago)
- Topics: deep-learning, longitudinal-data, machine-learning, neural-networks, panel-data, scikit-learn, time-series, time-series-classification, time-series-forecasting, time-series-regression
- Language: Python
- Homepage:
- Size: 1.32 MB
- Stars: 595
- Watchers: 21
- Forks: 79
- Open Issues: 6
-
Metadata Files:
- Readme: README.rst
- Changelog: CHANGELOG.rst
- Contributing: CONTRIBUTING.md
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md
Awesome Lists containing this project
- awesome-python-tools - sktime-dl
- awesome-sciml - sktime/sktime-dl: sktime companion package for deep learning based on TensorFlow
- awesome-TS-anomaly-detection - sktime-dl - Clause | :heavy_check_mark: (Related Software / Time-Series Analysis)
- StarryDivineSky - sktime/sktime-dl
README
``sktime-dl`` is currently being ported to mini-packages within ``sktime``, and no longer maintained as a separate package.
Most estimators formerly in ``sktime-dl`` are now available in the ``sktime.classification.deep_learning`` and ``sktime.regression.deep_learning`` modules, and maintained there.
Contributions are appreciated to port the rest!
To contribute, follow instructions in the umbrella planning issue https://github.com/sktime/sktime/issues/3351 on the ``sktime`` repo.