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GitHub / AIStream-Peelout / flow-forecast
Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/AIStream-Peelout%2Fflow-forecast
Stars: 1,915
Forks: 285
Open Issues: 102
License: gpl-3.0
Language: Python
Repo Size: 7.44 MB
Dependencies:
36
Created: almost 5 years ago
Updated: 4 days ago
Last pushed: 4 days ago
Last synced: 3 days ago
Topics: anomaly-detection, deep-learning, deep-neural-networks, forecasting, hacktoberfest, lstm, pytorch, state-of-the-art-models, time-series, time-series-analysis, time-series-forecasting, time-series-regression, transfer-learning, transformer
Files
Dependencies
- google-cloud-storage *
- numpy *
- pandas *
- plotly *
- shap *
- sklearn *
- sphinx *
- sphinx-autodoc-typehints *
- sphinx-rtd-theme *
- torch *
- wandb *
- future *
- google-cloud *
- google-cloud-storage *
- h5py *
- mpld3 >=0.5
- numba >=0.50
- numpy >=1.21
- pandas *
- plotly *
- pytz >=2022.1
- requests *
- scikit-learn >=1.0.1
- seaborn *
- setuptools *
- shap ==0.40.0
- sphinx *
- sphinx-autodoc-typehints *
- sphinx-rtd-theme *
- tb-nightly *
- torch *
- torchvision >=0.6.0
- wandb ==0.12.17
- actions/checkout v2 composite
- actions/setup-python v2 composite
- Codesee-io/codesee-action v2 composite