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

1.8.32

1.8.31

1.8.30

1.8.29

1.8.28

1.8.27

1.8.26

1.8.25

1.8.24

This version

1.8.23

1.8.20

1.8.19

1.8.18

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

1.8.8

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1.8.0

1.7.1

1.7.0

1.6.19

1.6.18

1.6.17

1.6.16

1.6.15

1.6.14

1.6.13

1.6.12

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1.6.0

1.5.0

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1.2.17

1.2.16

1.2.15

1.2.14

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1.2.12

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1.2.9

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1.2.1

1.2.0

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1.1.1

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-1.8.23.tar.gz (22.8 kB view hashes)

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nowcasting_dataloader-1.8.23-py3-none-any.whl (32.2 kB view hashes)

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