https://github.com/sayamalt/global-equity-forecasting-using-lstm
Successfully established an LSTM model to effectively forecast global equity based on over 20+ years of historical data of global equity.
https://github.com/sayamalt/global-equity-forecasting-using-lstm
data-loaders deep-learning feature-scaling forecast-evaluation gradient-clipping lstm-neural-networks model-inference model-training-and-evaluation pytorch recurrent-neural-networks time-series-datasets time-series-forecasting xavier-initialization
Last synced: about 1 month ago
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Successfully established an LSTM model to effectively forecast global equity based on over 20+ years of historical data of global equity.
- Host: GitHub
- URL: https://github.com/sayamalt/global-equity-forecasting-using-lstm
- Owner: SayamAlt
- License: mit
- Created: 2024-12-16T03:17:32.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-12-16T03:26:30.000Z (over 1 year ago)
- Last Synced: 2025-02-11T12:26:45.653Z (over 1 year ago)
- Topics: data-loaders, deep-learning, feature-scaling, forecast-evaluation, gradient-clipping, lstm-neural-networks, model-inference, model-training-and-evaluation, pytorch, recurrent-neural-networks, time-series-datasets, time-series-forecasting, xavier-initialization
- Language: Jupyter Notebook
- Homepage:
- Size: 509 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0