- prediction/forecasting
- anomaly detection
Time Series libraries | Description |
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Spektral | Supports ARMA convolutions |
Ensemble Conformalized Quantile Regression for Probabilistic Time Series Forecasting | |
Probabilistic Forecasting with Temporal Convolutional Neural Network | |
cesium | |
pyg | PyG (PyTorch Geometric) to easily write and train Graph Neural Networks (GNNs). Cheatsheet |
pyro forecasting | |
The forecasting example
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DL for Time Series
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RNNs
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LSTMs
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Transformers
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CNNs
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RL/DL for Time Series
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A review of Reinforcement learning for financial time series prediction and portfolio optimization
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Deep reinforcement learning for time series: playing idealized trading games. Xiang Gao†. Code
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IoT Data Analytics Using Deep Learning. Xiaofeng Xie, Di Wu, Siping Liu, Renfa Li