• Seq2Seq-Vis

  • Referenced in 1 article [sw34397]
  • Visual Debugging Tool for Sequence-to-Sequence Models. Neural Sequence-to-Sequence ... models work in a five stage blackbox process that involves encoding a source sequence ... interaction with a trained sequence-to-sequence model through each stage ... tool through several real-world large-scale sequence-to-sequence use cases...
  • OpenSeq2Seq

  • Referenced in 1 article [sw26483]
  • mixed precision training of sequence-to-sequence models. We present OpenSeq2Seq - an open ... source toolkit for training sequence-to-sequence models. The main goal ... most effectively explore different sequence-to-sequence architectures. The efficiency is achieved ... provides building blocks for training encoder-decoder models for neural machine translation and automatic speech...
  • code2seq

  • Referenced in 3 articles [sw33950]
  • summarization, documentation, and retrieval. Sequence-to-sequence (seq2seq) models, adopted from neural machine...
  • ProphetNet

  • Referenced in 1 article [sw35776]
  • presents a new sequence-to-sequence pre-training model called ProphetNet, which introduces ... prediction in the traditional sequence-to-sequence model, the ProphetNet is optimized...
  • fairseq

  • Referenced in 4 articles [sw30760]
  • Sequence-to-Sequence Toolkit written in Python. Fairseq(-py) is a sequence modeling toolkit that allows researchers and developers to train custom models for translation, summarization...
  • Holophrasm

  • Referenced in 1 article [sw30124]
  • bandit algorithm and a sequence-to-sequence model for action enumeration. The system...
  • SemRegex

  • Referenced in 1 article [sw36206]
  • approaches typically train a sequence-to-sequence learning model using a syntax-based...
  • Sockeye

  • Referenced in 2 articles [sw26584]
  • version 1.12), an open-source sequence-to-sequence toolkit for Neural Machine Translation ... production-ready framework for training and applying models as well as an experimental platform...
  • ConvS2S

  • Referenced in 1 article [sw26536]
  • PyTorch version of fairseq, a sequence-to-sequence learning toolkit from Facebook ... Sequence to Sequence Learning. The prevalent approach to sequence to sequence ... maps an input sequence to a variable length output sequence via recurrent neural ... convolutional neural networks. Compared to recurrent models, computations over all elements can be fully parallelized...
  • TensorFlow

  • Referenced in 284 articles [sw15170]
  • TensorFlow™ is an open source software library for...
  • SIFT

  • Referenced in 605 articles [sw16554]
  • SIFT Keypoint Detector. Distinctive Image Features from Scale...
  • PyTorch

  • Referenced in 148 articles [sw20939]
  • PyTorch python package: Tensors and Dynamic neural networks...
  • CNTK

  • Referenced in 10 articles [sw21056]
  • The Microsoft Cognitive Toolkit (https://cntk.ai), is a...
  • OpenNMT

  • Referenced in 8 articles [sw26505]
  • OpenNMT: Open-Source Toolkit for Neural Machine Translation...
  • Seq2Seq

  • Referenced in 3 articles [sw26506]
  • Seq2Seq is a general-purpose encoder-decoder framework...
  • GNMT

  • Referenced in 13 articles [sw26579]
  • Google’s Neural Machine Translation System: Bridging the...
  • BLEU

  • Referenced in 63 articles [sw36205]
  • BLEU (bilingual evaluation understudy) - BLEU: a Method for...