How this analysis was created: This summary and feature list were written by an AI model that read the project's README and public documentation pages. Each feature links to the documentation it came from; stars, license and language come straight from the GitHub API. The model does not read the source code, and the analysis is refreshed when the project is re-analysed. Learn more on our About page.
PyTorch implementation of the Quasi-Recurrent Neural Network - up to 16 times faster than NVIDIA's cuDNN LSTM
LSTM and QRNN Language Model Toolkit for PyTorch
PyTorch Implementation of ReSeg (https://arxiv.org/pdf/1511.07053.pdf)
Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755)
The main features of asappresearch/sru are: Neural Network Architectures, Recurrent Neural Networks (RNNs).
Open-source alternatives to asappresearch/sru include: yikangshen/ordered-neurons. wizaron/reseg-pytorch — PyTorch Implementation of ReSeg (https://arxiv.org/pdf/1511.07053.pdf). taolei87/sru — Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755). salesforce/pytorch-qrnn — PyTorch implementation of the Quasi-Recurrent Neural Network - up to 16 times faster than NVIDIA's cuDNN LSTM. salesforce/awd-lstm-lm — LSTM and QRNN Language Model Toolkit for PyTorch. blealtan/efficient-kan — This project is a PyTorch library for building and training Kolmogorov-Arnold Networks. It implements a neural network…
