PyTorch implementation of IJCAI 2020 paper Exploiting Neuron and Synapse Filter Dynamics in Spatial Temporal Learning of Deep Spiking Neural Network
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Updated
Sep 24, 2022 - Jupyter Notebook
PyTorch implementation of IJCAI 2020 paper Exploiting Neuron and Synapse Filter Dynamics in Spatial Temporal Learning of Deep Spiking Neural Network
The main objective of this project is the analysis and prediction of stock prices. As far as it concerns the predictions, a variety of classic machine learning algorithms and deep neural networks are used for: One-step price forecast, Long-term price forecast and Prediction of stock price movements.
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