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1. [**NanmiCoder / MediaCrawler**](https://github.com/NanmiCoder/MediaCrawler)
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1,050 stars today | 3,621 stars …
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If we are to put a forecasting tool in the hands of non-technical users, we need some way of automatically assess the quality of the forecasts and tell the user when they need to reach out for support…
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- PyTorch-Forecasting version: 0.9.1
- PyTorch version: 1.10.0+cu102
- Python version: 3.9.7
- Operating System: Red Hat Enterprise Linux 7.9
### Expected behavior
I try to run DeepAR model o…
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When I initialize my TFT trainer to use multiple GPUs
```
# Configure network and trainer
pl.seed_everything(407)
trainer = pl.Trainer(
gpus = [0],
gradient_clip_val = 0.1 # hyperparam …
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Hi,
I've noticed that some of the generated features exhibit look-ahead bias, which is critical and must be avoided in machine learning regression problems. Specifically, the features in X_train co…
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Hi, thanks for the model and instructions. I could not get the idea of predicting the last part of the data. I tried zero-shot learning with my own data. Let's say I have 1 week of hourly data. When I…
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The `energy_hydrogen_storage` does not have any loss specified on the node:
```ruby
V(energy_hydrogen_storage,loss_output_conversion)
0.0
```
However when I subtract the sum of the hydrogen…
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I have been thinking about how the current pipeline framework would integrate with global forecasting, and noticed some issues that may complicate integration - we may like to revisit how exactly the …
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Starting the demo forecast:
deode case ?deode/data/config_files/configurations/cy48t3_arome -o cy48t3_arome.toml --start-suite
The Workflow reached to the forecast step
![image](https://github.co…
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Many optimisation packages such as JuMP require user-supplied functions to be evaluated with scalar arguments, yielding scalar output (no doubt broadcasted internally). As it stands, functions like…