Skip to main content

Nowcasting Dataloader

Project description

nowcasting-dataloader

PyTorch Dataloader for working with multi-modal data for nowcasting applications. In particular, this code loads the pre-prepared batches saved to disk by nowcasting_dataset. This code also computes some optional, additional input features.

Usage

Installation

Run pip install nowcasting-dataloader

Conventions

The dataloader assumes that data is generally in B, C, T, H, W ordering, where B is Batch size, C is number of channels, T is timestep, H is height, and W is width.

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

nowcasting_dataloader-1.6.12.tar.gz (21.5 kB view hashes)

Uploaded Source

Built Distribution

nowcasting_dataloader-1.6.12-py3-none-any.whl (31.2 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page