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Flexible and fast neural network library (feed-forward, RNN, GRU, LSTM, etc)

Multi-layer RNN (LSTM, GRU, RNN) for character-level language models in Blocks

Recursive Neural Network and Tree LSTM implementations in pyTorch for sentiment analysis

No description available from source.

Price Prediction Case Study predicting the Bitcoin price and the Google stock price using Deep Learning, RNN with LSTM layers with TensorFlow and Keras in Python. (Includes: Data, Case Study Paper, Code)

Using Neural Networks to generate new rock climbs for the moon board

Top Class Stock Price Prediction Project through Machine Learning Algorithms for Google. Easy Understanding and Implementation. B.tech Final Year College Project.

LSTM by matlab

Tensorflow-LSTM-CRF tool for Named Entity Recognizer

This is the PyTorch implementation of TPA-LSTM