FedGroup, A Clustered Federated Learning framework based on Tensorflow
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Updated
Dec 2, 2021 - Python
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heterogeneous-data
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Cusal Inference applied to timeseries, uses an event database to generate a timeseries of the outcome given a sliding window containing events. Useful to add causal outcomes of events into multivariate timeseries forecasting models.
python machine-learning ai timeseries deep-learning event-data forecasting plugin-system causal-inference heterogeneous-data lineal-regression meta-learning random-tree outcome-prediction causal-machine-learning double-machine-learning external-plugin pywhy econml
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Updated
Jan 22, 2025 - Python
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