recurrent-neural-networks topic
Text_Classification
Text Classification Algorithms: A Survey
pytorch-kaldi
pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are...
deep-learning-time-series
List of papers, code and experiments using deep learning for time series forecasting
Stock-Price-Prediction-LSTM
OHLC Average Prediction of Apple Inc. Using LSTM Recurrent Neural Network
DA-RNN
📃 𝖀𝖓𝖔𝖋𝖋𝖎𝖈𝖎𝖆𝖑 PyTorch Implementation of DA-RNN (arXiv:1704.02971)
awesome-tensorlayer
A curated list of dedicated resources and applications
lstm_anomaly_thesis
Anomaly detection for temporal data using LSTMs
stock-prediction-deep-neural-learning
Predicting stock prices using a TensorFlow LSTM (long short-term memory) neural network for times series forecasting
rnn_lstm_from_scratch
How to build RNNs and LSTMs from scratch with NumPy.
speech-recognition-neural-network
This is the end-to-end Speech Recognition neural network, deployed in Keras. This was my final project for Artificial Intelligence Nanodegree @Udacity.