How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.
The main features of sanyam5/arc-pytorch are: Recurrent Neural Networks (RNNs).
Projects with overlapping indexed features include: asappresearch/sru — Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755). dasguptar/treelstm.pytorch — Tree LSTM implementation in PyTorch. dsksd/rnn-for-joint-nlu. emited/variationalrecurrentneuralnetwork. maximumentropy/seq2seq-pytorch — Sequence to Sequence Models with PyTorch. salesforce/awd-lstm-lm — LSTM and QRNN Language Model Toolkit for PyTorch.
Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755)