PyTorch implementation of Neural Turing Machine recurrent neural network
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Updated
Nov 2, 2019 - Python
PyTorch implementation of Neural Turing Machine recurrent neural network
Application of LSTM networks and modified RNN cells to various Time Series Classification problems
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.
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 …
This is a project implementing Computer Vision and Deep Learning concepts to detect drowsiness of a driver and sound an alarm if drowsy.
Language Modeling
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