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PyTorch implementation of the Quasi-Recurrent Neural Network - up to 16 times faster than NVIDIA's cuDNN LSTM
Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755)
PyTorch Implementation of ReSeg (https://arxiv.org/pdf/1511.07053.pdf)
LSTM and QRNN Language Model Toolkit for PyTorch
The main features of salesforce/awd-lstm-lm are: Neural Network Architectures, Recurrent Neural Networks (RNNs).
Projects with overlapping indexed features include: yikangshen/ordered-neurons. wizaron/reseg-pytorch — PyTorch Implementation of ReSeg (https://arxiv.org/pdf/1511.07053.pdf). salesforce/pytorch-qrnn — PyTorch implementation of the Quasi-Recurrent Neural Network - up to 16 times faster than NVIDIA's cuDNN LSTM. asappresearch/sru — Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755). taolei87/sru — Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755). blealtan/efficient-kan — This project is a PyTorch library for building and training Kolmogorov-Arnold Networks. It implements a neural network…
