neuralforecast and pytorch-forecasting
These are complementary tools: NeuralForecast provides high-level forecasting algorithms with built-in neural network implementations, while PyTorch Forecasting offers lower-level PyTorch-based components for building custom time series models, allowing practitioners to use NeuralForecast for direct forecasting or PyTorch Forecasting for more granular control when implementing advanced architectures.
Maintenance
20/25
Adoption
25/25
Maturity
25/25
Community
21/25
Maintenance
20/25
Adoption
10/25
Maturity
16/25
Community
24/25
Stars: 4,003
Forks: 483
Downloads: 258,535
Commits (30d): 18
Language: Python
License: Apache-2.0
Stars: 4,827
Forks: 832
Downloads: —
Commits (30d): 13
Language: Python
License: MIT
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About neuralforecast
Nixtla/neuralforecast
Scalable and user friendly neural :brain: forecasting algorithms.
About pytorch-forecasting
sktime/pytorch-forecasting
Time series forecasting with PyTorch
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