LSTM-Human-Activity-Recognition
cryptocurrency-price-prediction
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LSTM-Human-Activity-Recognition | cryptocurrency-price-prediction | |
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1 | 2 | |
3,265 | 555 | |
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0.0 | 0.0 | |
over 1 year ago | over 1 year ago | |
Jupyter Notebook | Jupyter Notebook | |
MIT License | MIT License |
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LSTM-Human-Activity-Recognition
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[P] Blog post: Learning JAX by Learning to Learn
Code for https://arxiv.org/abs/1606.04474 found: https://github.com/guillaume-chevalier/LSTM-Human-Activity-Recognition
cryptocurrency-price-prediction
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Help with Jupyter notebook for crypto price prediction
Hey. This isn't really a predictor or forecaster in any sense, since the independent variables (X) are not knowable ahead of time. In fact, they include some serious data leakage such as the day's high and low, which will only be known at close (which is what it predicted). Also, the code to show the predictions is wrong, and essentially just shows the training data shifted forward (https://github.com/abhinavsagar/cryptocurrency-price-prediction/issues/1) so the results are just not there.
What are some alternatives?
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