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Deep Learning for Time Series Forecasting

Project description


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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