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.
| Rank | Project | Stars | Forks | Updated | License |
|---|---|---|---|---|---|
| 41 |
stock-rnn
Predict stock market prices using RNN model with multilayer LSTM cells + optional multi-stock embeddings. |
2.0K | 673 | 07/28/22 | Other |
| 42 |
surpriver
Find big moving stocks before they move using machine learning and anomaly detection |
1.9K | 338 | 08/13/21 | GPL-3.0 |
| 43 |
bulbea
:boar: :bear: Deep Learning based Python Library for Stock Market Prediction and Modelling |
2.3K | 487 | 01/17/21 | Other |
| 44 |
AIAlpha
Use unsupervised and supervised learning to predict stocks |
2.0K | 449 | 06/18/20 | MIT |