CryptocurrencyPrediction and BitcoinPrediction
These are competitors—both implement deep learning approaches (LSTM/RNN architectures) to forecast cryptocurrency price movements from historical data, targeting the same use case of price prediction rather than complementing each other's functionality.
About CryptocurrencyPrediction
khuangaf/CryptocurrencyPrediction
Predict Cryptocurrency Price with Deep Learning
Implements CNN, LSTM, and GRU architectures in Keras/TensorFlow to forecast Bitcoin prices 80 minutes ahead using 1280-minute historical windows sampled at 5-minute intervals from Poloniex. Features comparative benchmarking across model depths and activation functions (ReLU, Leaky ReLU, tanh), with data preprocessing via MinMaxScaler and MSE loss optimization. LSTM variants achieved the lowest test loss (~15k), outperforming baseline lag and linear regression approaches.
About BitcoinPrediction
manthanthakker/BitcoinPrediction
CryptoCurrency prediction using Deep Recurrent Neural Networks
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