thepaulm / lstm

Exploration of timeseries LSTM RNN prediction in pytorch, keras, tensorflow, and tensorflow.contrib.keras.

Example LSTM Models for timeseries prediction

This repo contains 4 examples of DeepLearning LSTMs for doing timeseries prediction. This is a simple model used to predict sine waves. Each of these examples has the code for training the model as well as a jupyter notebook anlayzing the accuracy.

The 4 examples are:

• pytorch
  • https://github.com/thepaulm/lstm/blob/master/basic_pytorch.py
  • https://github.com/thepaulm/lstm/blob/master/pytorch%20LSTM.ipynb
• keras
  • https://github.com/thepaulm/lstm/blob/master/basic_keras.py
  • https://github.com/thepaulm/lstm/blob/master/Keras%20LSTM.ipynb
• tensorflow.contrib.keras
  • https://github.com/thepaulm/lstm/blob/master/basic_keras_tf.py
  • https://github.com/thepaulm/lstm/blob/master/Keras%20TF%20LSTM.ipynb
• tensorflow
  • https://github.com/thepaulm/lstm/blob/master/basic_tf.py
  • https://github.com/thepaulm/lstm/blob/master/TensorFlow%20LSTM.ipynb

Everything else in here is garbage / failed experiments :).