This is the Windows app named PyTorch Forecasting whose latest release can be downloaded as v1.4.0sourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
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PyTorch Forecasting
DESCRIPTION
PyTorch Forecasting aims to ease state-of-the-art time series forecasting with neural networks for both real-world cases and research alike. The goal is to provide a high-level API with maximum flexibility for professionals and reasonable defaults for beginners. A time series dataset class that abstracts handling variable transformations, missing values, randomized subsampling, multiple history lengths, etc. A base model class that provides basic training of time series models along with logging in tensorboard and generic visualizations such actual vs predictions and dependency plots. Multiple neural network architectures for timeseries forecasting that have been enhanced for real-world deployment and come with in-built interpretation capabilities. The package is built on PyTorch Lightning to allow training on CPUs, single and multiple GPUs out-of-the-box.
Features
- Multi-horizon timeseries metrics
- Ranger optimizer for faster model training
- Hyperparameter tuning with optuna
- A base model class which provides basic training of timeseries models
- Multiple neural network architectures
- A timeseries dataset class which abstracts handling variable transformations
Programming Language
Python
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/pytorch-forecasting.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
