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stream-learning

Here are 5 public repositories matching this topic...

TxusLopez / CURIE

Data stream mining extracts information from large quantities of data flowing fast and continuously (data streams). They are usually affected by changes in the data distribution, giving rise to a phenomenon referred to as concept drift. Thus, learning models must detect and adapt to such changes, so as to exhibit a good predictive performance af…

data-stream cellular-automata concept-drift stream-learning

Updated Sep 13, 2021
Python

Venoli / Asips-for-Pulsar-Astronomy

'Asips' is a Research conducted for automating the pulsar star candidate selection process. This is the API of Asips which can be used by anyone. This implementation uses the HTRU2 dataset.

python api flask machine-learning firebase-realtime-database gaussian-distribution candidate-selection scikit-multiflow hellinger-distance-criterion pulsar-stars vfdt efdt stream-learning online-classification gh-efdt

Updated Oct 15, 2021
Python

kmalialis / actisiamese

ActiSiamese (Neurocomputing 2022)

class-imbalance active-learning online-learning concept-drift data-streams siamese-networks nonstationary-environments stream-learning

Updated Oct 13, 2022
Python

kmalialis / augmented_queues

Augmented Queues (IEEE SSCI 2022)

neural-networks class-imbalance data-augmentation active-learning online-learning data-streams stream-learning

Updated Feb 21, 2023
Python

BaltiBoix / 3W_TFM

Detection and classification of anomalous events in oil extraction. Incremental learning methods applied to the Petrobras 3W dataset.

concept-drift stream-learning oil-well-monitoring fault-detection-and-diagnosis

Updated Jan 24, 2023
Jupyter Notebook

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