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RNNLG is an open source benchmark toolkit for Natural Language Generation (NLG) in spoken dialogue system application domains. It is released by Tsung-Hsien (Shawn) Wen from Cambridge Dialogue Systems Group under Apache License 2.0.
Predicting price trends in cryptomarkets using an lstm-RNN for the use of a trading bot
Using deep stacked residual bidirectional LSTM cells (RNN) with TensorFlow, we do Human Activity Recognition (HAR). Classifying the type of movement amongst 6 categories or 18 categories on 2 different datasets.
This repository contains codes for the paper entitled "A CNN-RNN Framework for Crop Yield Prediction"
Hand-gesture recognition on iOS app using CoreML
Hierarchical Attentive Recurrent Tracking
Using RNNs for password cracking
A Tensorfflow implementation of Attend, Infer, Repeat
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