Nowcasting Dataloader

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Project description

nowcasting-dataloader

codecov

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.

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Release history Release notifications | RSS feed

2.0.6

2.0.5

2.0.4

2.0.3

2.0.2

2.0.1

2.0.0

1.8.40

1.8.39

1.8.38

1.8.37

1.8.36

1.8.35

1.8.34

1.8.33

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1.8.28

1.8.27

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1.8.25

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1.8.19

1.8.18

This version

1.8.17

1.8.16

1.8.15

1.8.14

1.8.13

1.8.12

1.8.11

1.8.10

1.8.9

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1.6.19

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1.1.0

1.0.2

1.0.1

1.0.0

0.0.5

0.0.3

0.0.2

0.0.1

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Source Distribution

nowcasting_dataloader-1.8.17.tar.gz (22.4 kB view hashes)

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nowcasting_dataloader-1.8.17-py3-none-any.whl (31.7 kB view hashes)

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