Language Modeling
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Updated
Aug 8, 2019 - Python
Language Modeling
This is a project implementing Computer Vision and Deep Learning concepts to detect drowsiness of a driver and sound an alarm if drowsy.
Text generation using a character-based RNN with LSTM cells. We will work with a dataset of Shakespeare's writing from Andrej Karpathy's The Unreasonable Effectiveness of Recurrent Neural Networks. Given a sequence of characters from this data ("Shakespear"), train a model to predict the next character in the sequence ("e"). Longer sequences of …
Implementation of a Recurrent Neural Network with LSTM cells, in pure Python.
This repo includes Zhang2019's CLSTM implemented using keras(tensorflow2). Zhang2019:Zhang, Haokui, et al. "Exploiting temporal consistency for real-time video depth estimation." Proceedings of the IEEE International Conference on Computer Vision. 2019.
Application of LSTM networks and modified RNN cells to various Time Series Classification problems
PyTorch implementation of Neural Turing Machine recurrent neural network
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