Open Issues Need Help
View All on GitHub [ENH] cleaner API reference about 2 hours ago
AI Summary: The current auto-generated API reference is confusing as it includes private modules and classes not relevant to typical users. The proposal suggests a manual curation approach, similar to `sktime`, to only list public-facing components. This involves maintaining existing category splits (models, metrics, data) and defining a specific ordering for items within individual pages, such as prioritizing neural networks and clearly marking beta v2 objects.
Complexity:
4/5
documentation enhancement good first issue
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[DOC] Migrate the documentation to numpydocstyle about 2 hours ago
documentation good first issue
Time series forecasting with PyTorch
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bug good first issue
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enhancement good first issue feature request module:metrics
Time series forecasting with PyTorch
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[ENH] Add v2 interface support for N-HiTS 2 days ago
good first issue
Time series forecasting with PyTorch
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good first issue maintenance
Time series forecasting with PyTorch
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enhancement good first issue
Time series forecasting with PyTorch
Python
#ai#artificial-intelligence#data-science#deep-learning#forecasting#gpu#hacktoberfest#machine-learning#neural-networks#pandas#python#pytorch#pytorch-lightning#temporal#timeseries#timeseries-forecasting#uncertainty
[ENH] implement LSTM model, and migrate `LSTMmodel` from notebook to main code base about 1 month ago
enhancement good first issue
Time series forecasting with PyTorch
Python
#ai#artificial-intelligence#data-science#deep-learning#forecasting#gpu#hacktoberfest#machine-learning#neural-networks#pandas#python#pytorch#pytorch-lightning#temporal#timeseries#timeseries-forecasting#uncertainty
[ENH] separate `NBeats` blocks from kan 2 months ago
enhancement good first issue module:layers
Time series forecasting with PyTorch
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bug good first issue module:models
Time series forecasting with PyTorch
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[ENH] Add Autoformer model 2 months ago
enhancement good first issue feature request module:models
Time series forecasting with PyTorch
Python
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[ENH] Wishlist of forecasters and integrations 3 months ago
enhancement good first issue module:models
Time series forecasting with PyTorch
Python
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[ENH] standardise output format of `NBeats` and `NBeatsKAN` estimators for point predictions 5 months ago
enhancement good first issue module:models
Time series forecasting with PyTorch
Python
#ai#artificial-intelligence#data-science#deep-learning#forecasting#gpu#hacktoberfest#machine-learning#neural-networks#pandas#python#pytorch#pytorch-lightning#temporal#timeseries#timeseries-forecasting#uncertainty
enhancement good first issue module:models
Time series forecasting with PyTorch
Python
#ai#artificial-intelligence#data-science#deep-learning#forecasting#gpu#hacktoberfest#machine-learning#neural-networks#pandas#python#pytorch#pytorch-lightning#temporal#timeseries#timeseries-forecasting#uncertainty
[ENH] Implementation of DUET 6 months ago
enhancement good first issue feature request module:models
Time series forecasting with PyTorch
Python
#ai#artificial-intelligence#data-science#deep-learning#forecasting#gpu#hacktoberfest#machine-learning#neural-networks#pandas#python#pytorch#pytorch-lightning#temporal#timeseries#timeseries-forecasting#uncertainty
[ENH] automated model overview page 6 months ago
documentation enhancement good first issue module:models
Time series forecasting with PyTorch
Python
#ai#artificial-intelligence#data-science#deep-learning#forecasting#gpu#hacktoberfest#machine-learning#neural-networks#pandas#python#pytorch#pytorch-lightning#temporal#timeseries#timeseries-forecasting#uncertainty