123Jae's starred repositories
stockpredictionai
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
Multidimensional-LSTM-BitCoin-Time-Series
Using multidimensional LSTM neural networks to create a forecast for Bitcoin price
capsule-networks
A Tensorflow implementation of Capsule Networks
LSTM-Neural-Network-for-Time-Series-Prediction
LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data
auto-sklearn
Automated Machine Learning with scikit-learn
lstms_for_predictive_maintenance
LSTMS for Predictive Maintenance
Neural-Net-with-Financial-Time-Series-Data
This solution presents an accessible, non-trivial example of machine learning (Deep learning) with financial time series using TensorFlow
Deep-Learning-Time-Series-Prediction-using-LSTM-Recurrent-Neural-Networks
This project aims to predict VOLATILITY S&P 500 (^VIX) time series using LSTM.
py-api-trading
Sample programs trading with the OANDA API through Python2.7