| abhinavsagar/cryptocurrency-price-prediction |
337 |
|
0 |
0 |
over 4 years ago |
0 |
|
7 |
mit |
Jupyter Notebook |
| Cryptocurrency Price Prediction Using LSTM neural network |
| SirTificate/gekko-neuralnet |
240 |
|
0 |
0 |
about 7 years ago |
0 |
|
6 |
mit |
JavaScript |
| Neural network strategy for Gekko |
| brandonrobertz/BitcoinTradingAlgorithmToolkit |
161 |
|
0 |
0 |
over 11 years ago |
0 |
|
0 |
gpl-3.0 |
Python |
| A framework for logging, simulating, and analyzing prices of currencies on various exchanges using technical analysis, fuzzy logic, and neural networks. |
| manthanthakker/BitcoinPrediction |
57 |
|
0 |
0 |
over 3 years ago |
0 |
|
0 |
mit |
Jupyter Notebook |
| CryptoCurrency prediction using Deep Recurrent Neural Networks |
| AvinashNath2/Recurrent-Neural-Network-for-BitCoin-price-prediction |
36 |
|
0 |
0 |
about 8 years ago |
0 |
|
3 |
|
Python |
| Recurrent Neural Network (LSTM) by using TensorFlow and Keras in Python for BitCoin price prediction |
| marcotav/deep-learning |
31 |
|
0 |
0 |
almost 7 years ago |
0 |
|
1 |
|
Jupyter Notebook |
| Projects include the application of transfer learning to build a convolutional neural network (CNN) that identifies the artist of a painting, the building of predictive models for Bitcoin price data using Long Short-Term Memory recurrent neural networks (LSTMs) and a tutorial explaining how to build two types of neural network using as input the MNIST dataset, namely, a CNN using Keras and a fully-connected network using TensorFlow. |
| planetceres/bitcoin-nn |
22 |
|
0 |
0 |
over 8 years ago |
0 |
|
2 |
mit |
Python |
| Predictive modeling for Bitcoin prices using LSTM and stacked neural nets |
| europa502/RNN-based-Bitcoin-Value-Predictor |
21 |
|
0 |
0 |
over 8 years ago |
0 |
|
3 |
|
Python |
| A Recurrent Neural Network to predict Bitcoin value |
| skarlman/ForFunAndProfit |
10 |
|
0 |
0 |
over 8 years ago |
0 |
|
1 |
|
C# |
| Bitcoin trading using machine learning proof of concept |
| cawfree/crypto-lstm-3 |
8 |
|
0 |
0 |
about 6 years ago |
0 |
|
0 |
|
JavaScript |
| 💵 Using word2vec to predict trends in cryptocurrency. |
