LSTM and QRNN Language Model Toolkit for PyTorch
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Updated
Feb 12, 2022 - Python
LSTM and QRNN Language Model Toolkit for PyTorch
reference tensorflow code for named entity tagging
A PyTorch Implementation of "Quasi-Recurrent Neural Networks"
The repository gives case studies on short-term traffic flow forecasting strategies within the scope of my master thesis.
QRNN model implementation for IMDb dataset sentiment analysis
Comparative Analysis of Different Architectures for Sentiment Analysis
LSTM and QRNN Language Model Toolkit for PyTorch (adapted to fast.ai version)
Quantum version of recurrent neural networks for machine learning
Proof-of-concept implementation of QRNN Layer in Pytorch. Recurrent pooling is implemented purely in PyTorch, no Python loop and also no extra CUDA code.
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