Time Series Machine Learning

Libraries and frameworks for modeling timestamped data, covering forecasting, classification, clustering, regression, and anomaly/change-point detection.

44 projects

See methodology for ranking rules; order uses public GitHub metrics within this scenario.

41–44 of 44

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41 stock-rnn

Predict stock market prices using RNN model with multilayer LSTM cells + optional multi-stock embeddings.

2.0K 673
42 surpriver

Find big moving stocks before they move using machine learning and anomaly detection

1.9K 338
43 bulbea

:boar: :bear: Deep Learning based Python Library for Stock Market Prediction and Modelling

2.3K 487
44 AIAlpha

Use unsupervised and supervised learning to predict stocks

2.0K 449
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