Deep Learning for Time Series Forecasting
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DOCUMENTATION
Why NeuralForecast
NeuralForecast
is a time-series forecasting library with deep learning models.
Why Deep Learning
- Highly Accurate Predictions:
- High capacity shared models across panel data time series.
- Fast and Efficient Models:
- Automatic featurization provided by the networks information processes.
- Fast GPU computations.
NeuralForecast Features
- Easy-to-use state-of-the-art models:
- Dataset, dataloader and evaluation utility.
- Code organization follows Lightning. Pure PyTorch without boilerplate.
- Implementations of high performing forecasting models with minimal entry barriers.
- High Efficiency and low computation costs:
- Fast dataloaders and model optimization.
- Scalable to any hardware without changing the models.
Tutorial 1: Installation and Introduction
Tutorial 2: Time Series DataSets and DataLoaders
Tutorial 3: Model Training and Evaluation
Tutorial 4: Production Deployment
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