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The main features of yikangshen/ordered-neurons are: Neural Network Architectures, Recurrent Neural Networks (RNNs).
Projects with overlapping indexed features include: 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/awd-lstm-lm — LSTM and QRNN Language Model Toolkit for PyTorch. asappresearch/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. blealtan/efficient-kan — This project is a PyTorch library for building and training Kolmogorov-Arnold Networks. It implements a neural network…
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
Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755)
