Comments (3)
Hi there π,
Thank you so much for your attention to PyPOTS! You can follow me on GitHub to receive the latest news of PyPOTS. If you find PyPOTS helpful to your work, please starβοΈ this repository. Your star is your recognition, which can help more people notice PyPOTS and grow PyPOTS community. It matters and is definitely a kind of contribution to the community.
I have received your message and will respond ASAP. Thank you for your patience! π
Best,
Wenjie
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Thanks, Shijian @Six-Persimmon. I'll update the tutorials on Colab and in the BrewPOTS repo https://github.com/WenjieDu/BrewPOTS. Any interest in joining our community and collaborating?
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Thank you Wenjie! YES! I am reaching out to the contributor Yinghao (we have been friends since middle schoolπ) to see if PyPOTS can solve a specific group of Economic problems I am working on, and am very willing to join the community. Thank you for this awesome project!
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Related Issues (20)
- Add ModernTCN
- Add RevIN
- Add SCINet
- Discussion on model hyperparameter optimization (HPO) with PyPOTS and NNI HOT 2
- Test train split of physnet2012 is scientifically flawed. HOT 2
- Positional encoding not applied in v0.5 imputation Nonstationary-Transformer and Pyraformer
- Add StemGNN
- Add Reformer
- Implement GRU-D as an imputation model
- Allow for time series reconsturction output after the imputation
- Could I use the imputation methods to upsample my low-frequency data? HOT 4
- ETSformer hyper-parameter mismatch during NNI tuning
- TimesNet for imputation ERROR Exception: The size of tensor a (5461) must match the size of tensor b (1000) at non-singleton dimension 1 HOT 2
- Tutorial is not working HOT 6
- allow customized loss function for imputation/informer HOT 1
- Error with numpy v2
- Add a func `inverse_sliding_window`
- A minor bug in `sliding_window()`
- Failed to read an external model's all arguments during tuning
- Add ImputeFormer
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