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.
Implemented Convolutional Neural Network, LSTM Neural Network, and Neural Network From Scratch in Python Language.
Yeezy Taught Me Text Generation. Training next character predictions RNN LSTM model with user input text corpus
Sentiment Classifier using a bidirectional stacked RNN with LSTM/GRU cells for the Twitter sentiment analysis dataset
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Generates shakespeare style play by LSTM (RNN) network.
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 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.
Twitter data on US Airlines Sentiment Analysis with Deep Learning (LSTM and CNN)
A LSTM implementation with only using basic components of pytorch
Implementation of a Recurrent Neural Network with LSTM cells, in pure Python.
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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