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  1. Transformer Public

    Forked from sehkmg/NMT_practice

    PyTorch implementation of the paper "Attention Is All You Need". (NeurIPS 2017)

    Python

  2. LAS Public

    PyTorch implementation of the paper "Listen, Attend and Spell". (ICASSP 2016)

    Python

  3. SAT Public

    A PyTorch implementation of the paper "Show, Attend And Tell". (ICML 2015)

    Python

  4. MAML Public

    PyTorch implementation of the paper 'Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks' (ICML 2017)

    Python 4

  5. GAT Public

    Forked from seohuibae/gat

    PyTorch implementation of the paper "Graph Attention Networks". (ICLR 2018)

    Python 2 1

  6. Real-NVP Public

    PyTorch Implementation of the paper 'Density Estimation Using Real NVP' (ICLR 2017)

    Python 3 1