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A dynamic computation graph is a key feature of PyTorch that allows the framework to create a map of calculations while the program is running.
Key Points:
Built While Running: The graph is formed…
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Hey everyone,
i wanted to know if someone can tell me how i can create those graphs, shown near the end of the Adaptive Lighting docs.
I am realatively new to HA and I already tried doing it by addi…
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If we make the product decision #36 to say we want to find all comms loops and not just all credit loops then this does mean on the technical side we can't really use max-flow. The idea of how MTCS us…
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Initial report: https://github.com/kalkih/mini-graph-card/pull/1115#issuecomment-2248682920
With https://github.com/kalkih/mini-graph-card/pull/1115 merged:
a legend indicator's color may follow `…
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I have a graph for openmeteo weather:
```
type: horizontal-stack
cards:
- type: custom:mini-graph-card
unit: °C
icon: mdi:thermometer
align_icon: state
align_state: center
…
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Please implement adaptive gain tracking. It is available in the stats.json.
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For example, where is the code "Adaptive graph scattering decomposition" and "Adaptive graph spectrum aggregation"?
The code like
` N, J, V, d = y.shape
y_conv = self.bn1_conv(…
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When I execute run.py on the Pubmed dataset I need to use sparse_model instead of model
#from model import EGAE, GAE
from sparse_model import EGAE
However I get strange behaviour: the accuracy …
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I have a graph showing hourly rainfall. However sometimes the bars don't match the underlying data.
Here's the yaml:
```
type: custom:mini-graph-card
icon: mdi:weather-rainy
name: Hourly Rai…
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