https://github.com/alan-turing-institute/ocf-iam4vp
Application of the Implicit Stacked Autoregressive Model for Video Prediction (IAM4VP) to cloudcasting
Science Score: 26.0%
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Low similarity (1.8%) to scientific vocabulary
Repository
Application of the Implicit Stacked Autoregressive Model for Video Prediction (IAM4VP) to cloudcasting
Basic Info
- Host: GitHub
- Owner: alan-turing-institute
- Language: Python
- Default Branch: main
- Size: 144 KB
Statistics
- Stars: 3
- Watchers: 2
- Forks: 0
- Open Issues: 0
- Releases: 15
Metadata Files
README.md
ocf-iam4vp
Application of the Implicit Stacked Autoregressive Model for Video Prediction (IAM4VP) to cloudcasting
Model summary
The settings below are being used to train this model
``` - batch-size: 2 - hidden-channels-space: 32 - hidden-channels-time: 64 - num-convolutions-space: 4 - num-convolutions-time: 4 - num-forecast-steps: 12
- num-history-steps: 24
Layer (type:depth-idx) Output Shape Param #
IAM4VP [2, 11, 372, 614] 10,999,296 ├─Encoder: 1-1 [48, 32, 93, 154] -- │ └─Sequential: 2-1 -- -- │ │ └─ConvSC: 3-1 [48, 32, 372, 614] 3,264 │ │ └─ConvSC: 3-2 [48, 32, 186, 307] 9,312 │ │ └─ConvSC: 3-3 [48, 32, 186, 307] 9,312 │ │ └─ConvSC: 3-4 [48, 32, 93, 154] 9,312 ├─TimeMLP: 1-2 [2, 32] -- │ └─SinusoidalPosEmb: 2-2 [2, 32] -- │ └─Linear: 2-3 [2, 128] 4,224 │ └─GELU: 2-4 [2, 128] -- │ └─Linear: 2-5 [2, 32] 4,128 ├─Predictor: 1-3 [2, 24, 32, 93, 154] -- │ └─Conv2d: 2-6 [2, 64, 93, 154] 98,368 │ └─Sequential: 2-7 -- -- │ │ └─ConvNextTimeEmbed: 3-5 [2, 64, 93, 154] 38,592 │ │ └─ConvNextTimeEmbedLKA: 3-6 [2, 64, 93, 154] 47,616 │ │ └─ConvNextTimeEmbedLKA: 3-7 [2, 64, 93, 154] 47,616 │ │ └─ConvNextTimeEmbedLKA: 3-8 [2, 64, 93, 154] 47,616 │ └─Conv2d: 2-8 [2, 768, 93, 154] 49,920 ├─Decoder: 1-4 [48, 11, 372, 614] -- │ └─Sequential: 2-9 -- -- │ │ └─ConvSC: 3-9 [48, 32, 186, 308] 37,056 │ │ └─ConvSC: 3-10 [48, 32, 186, 308] 9,312 │ │ └─ConvSC: 3-11 [48, 32, 372, 616] 37,056 │ │ └─ConvSC: 3-12 [48, 32, 372, 614] 18,528 │ └─Conv2d: 2-10 [48, 11, 372, 614] 363 ├─SpatioTemporalRefinement: 1-5 [2, 11, 372, 614] -- │ └─Attention: 2-11 [2, 264, 372, 614] -- │ │ └─Conv2d: 3-13 [2, 264, 372, 614] 69,960 │ │ └─GELU: 3-14 [2, 264, 372, 614] -- │ │ └─LargeKernelAttention: 3-15 [2, 264, 372, 614] 90,024 │ │ └─Conv2d: 3-16 [2, 264, 372, 614] 69,960 │ └─Conv2d: 2-12 [2, 11, 372, 614] 2,915
├─Sigmoid: 1-6 [2, 11, 372, 614] --
Total params: 11,706,950 Trainable params: 11,706,950 Non-trainable params: 0
Total mult-adds (Units.GIGABYTES): 565.48
Input size (MB): 482.40 Forward/backward pass size (MB): 29351.09 Params size (MB): 2.78
Estimated Total Size (MB): 29836.27
```
Owner
- Name: The Alan Turing Institute
- Login: alan-turing-institute
- Kind: organization
- Email: info@turing.ac.uk
- Website: https://turing.ac.uk
- Repositories: 477
- Profile: https://github.com/alan-turing-institute
The UK's national institute for data science and artificial intelligence.
GitHub Events
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Last Year
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