salesforce/pytorch-qrnn

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PyTorch implementation of the Quasi-Recurrent Neural Network - up to 16 times faster than NVIDIA's cuDNN LSTM

7 mentions on Hacker News by 4 people: 1 story, 6 comments · first 2017-10-09 · latest 2020-04-08

Mentions per year 7 mentions · busiest year 2018 (3)

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…Jax seems to be one of the most flexible and optimized for many use cases for now however. [1]: https://github.com/salesforce/pytorch-qrnn
comment by Smerity · 2020-04-08 · in Jax – Composable transformations of Python and NumPy programs
…of the art in research - CuPy is even more Pythonic if you're hitting more standard use cases. [1]: https://github.com/salesforce/pytorch-qrnn
comment by Smerity · 2019-04-16 · in CuPy – NumPy-compatible matrix library accelerated by CUDA
…over one of my datasets. [1]: https://www.semanticscholar.org/paper/Quasi-Recurrent-Neural... [2]: https://github.com/salesforce/pytorch-qrnn [3]: https://www.semanticscholar.org/paper/Deep-Voice-2%3A-Multi-...
comment by Smerity · 2018-06-28 · in Keras vs PyTorch
I've been using a QRNN in PyTorch, is this similar to a TCN? https://github.com/salesforce/pytorch-qrnn
comment by droidist2 · 2018-06-28 · in Keras vs PyTorch
…QRNNs the assumption that CNNs are less computationally expensive is no longer necessarily true: https://github.com/salesforce/pytorch-qrnn I'd be surprised if for tasks that require long-term state (like sentiment analysis on large docs)…
comment by jph00 · 2018-05-15 · in State-of-the-art text classification with universal language models
…code at https://github.com/salesforce/awd-lstm-lm and the Quasi-Recurrent Neural Network (QRNN) at https://github.com/salesforce/pytorch-qrnn which features a custom CUDA kernel for speed
comment by Smerity · 2017-10-26 · in Introducing Amazon EC2 P3 Instances