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Title: GitHub - MultiPath/fairseq-stable: Facebook AI Research Sequence-to-Sequence Toolkit written in Python. · GitHub

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https://github.com/pytorch/fairseq/releases
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https://fairseq.readthedocs.io/en/latest/?badge=latest
Language Modeling with Gated Convolutional Networks (Dauphin et al., 2017)https://github.com/MultiPath/fairseq-stable/blob/master/examples/language_model/conv_lm/README.md
Convolutional Sequence to Sequence Learning (Gehring et al., 2017)https://github.com/MultiPath/fairseq-stable/blob/master/examples/conv_seq2seq/README.md
Classical Structured Prediction Losses for Sequence to Sequence Learning (Edunov et al., 2018)https://github.com/pytorch/fairseq/tree/classic_seqlevel
Hierarchical Neural Story Generation (Fan et al., 2018)https://github.com/MultiPath/fairseq-stable/blob/master/examples/stories/README.md
wav2vec: Unsupervised Pre-training for Speech Recognition (Schneider et al., 2019)https://github.com/MultiPath/fairseq-stable/blob/master/examples/wav2vec/README.md
Pay Less Attention with Lightweight and Dynamic Convolutions (Wu et al., 2019)https://github.com/MultiPath/fairseq-stable/blob/master/examples/pay_less_attention_paper/README.md
Scaling Neural Machine Translation (Ott et al., 2018)https://github.com/MultiPath/fairseq-stable/blob/master/examples/scaling_nmt/README.md
Understanding Back-Translation at Scale (Edunov et al., 2018)https://github.com/MultiPath/fairseq-stable/blob/master/examples/backtranslation/README.md
Adaptive Input Representations for Neural Language Modeling (Baevski and Auli, 2018)https://github.com/MultiPath/fairseq-stable/blob/master/examples/language_model/transformer_lm/README.md
Mixture Models for Diverse Machine Translation: Tricks of the Trade (Shen et al., 2019)https://github.com/MultiPath/fairseq-stable/blob/master/examples/translation_moe/README.md
RoBERTa: A Robustly Optimized BERT Pretraining Approach (Liu et al., 2019)https://github.com/MultiPath/fairseq-stable/blob/master/examples/roberta/README.md
Facebook FAIR's WMT19 News Translation Task Submission (Ng et al., 2019)https://github.com/MultiPath/fairseq-stable/blob/master/examples/wmt19/README.md
Jointly Learning to Align and Translate with Transformer Models (Garg et al., 2019)https://github.com/MultiPath/fairseq-stable/blob/master/examples/joint_alignment_translation/README.md
Multilingual Denoising Pre-training for Neural Machine Translation (Liu et at., 2020)https://github.com/MultiPath/fairseq-stable/blob/master/examples/mbart/README.md
Neural Machine Translation with Byte-Level Subwords (Wang et al., 2020)https://github.com/MultiPath/fairseq-stable/blob/master/examples/byte_level_bpe/README.md
wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations (Baevski et al., 2019)https://github.com/MultiPath/fairseq-stable/blob/master/examples/wav2vec/README.md
Levenshtein Transformer (Gu et al., 2019)https://github.com/MultiPath/fairseq-stable/blob/master/examples/nonautoregressive_translation/README.md
https://github.com/MultiPath/fairseq-stable#whats-new
wav2vec2 models and code releasedhttps://github.com/MultiPath/fairseq-stable/blob/master/examples/wav2vec/README.md
Follow fairseq on Twitterhttps://twitter.com/fairseq
Monotonic Multihead Attention code releasedhttps://github.com/MultiPath/fairseq-stable/blob/master/examples/simultaneous_translation/README.md
Quant-Noise code releasedhttps://github.com/MultiPath/fairseq-stable/blob/master/examples/quant_noise/README.md
Initial model parallel support and 11B parameters unidirectional LM releasedhttps://github.com/MultiPath/fairseq-stable/blob/master/examples/megatron_11b/README.md
Byte-level BPE code releasedhttps://github.com/MultiPath/fairseq-stable/blob/master/examples/byte_level_bpe/README.md
mBART model and code releasedhttps://github.com/MultiPath/fairseq-stable/blob/master/examples/mbart/README.md
Added tutorial for back-translationhttps://github.com/pytorch/fairseq/tree/master/examples/backtranslation#training-your-own-model-wmt18-english-german
fairseq 0.9.0 releasedhttps://github.com/pytorch/fairseq/releases/tag/v0.9.0
VizSeq released (a visual analysis toolkit for evaluating fairseq models)https://facebookresearch.github.io/vizseq/docs/getting_started/fairseq_example
CamemBERT model and code releasedhttps://github.com/MultiPath/fairseq-stable/blob/master/examples/camembert/README.md
BART model and code releasedhttps://github.com/MultiPath/fairseq-stable/blob/master/examples/bart/README.md
XLM-R models and code releasedhttps://github.com/MultiPath/fairseq-stable/blob/master/examples/xlmr/README.md
Nonautoregressive translation code releasedhttps://github.com/MultiPath/fairseq-stable/blob/master/examples/nonautoregressive_translation/README.md
WMT'19 models releasedhttps://github.com/MultiPath/fairseq-stable/blob/master/examples/wmt19/README.md
RoBERTa models and code releasedhttps://github.com/MultiPath/fairseq-stable/blob/master/examples/roberta/README.md
wav2vec models and code releasedhttps://github.com/MultiPath/fairseq-stable/blob/master/examples/wav2vec/README.md
https://github.com/MultiPath/fairseq-stable#features
Vijayakumar et al., 2016https://arxiv.org/abs/1610.02424
NVIDIA tensor coreshttps://developer.nvidia.com/tensor-cores
pre-trained models for translation and language modelinghttps://github.com/MultiPath/fairseq-stable#pre-trained-models-and-examples
translationhttps://pytorch.org/hub/pytorch_fairseq_translation/
RoBERTahttps://pytorch.org/hub/pytorch_fairseq_roberta/
https://github.com/MultiPath/fairseq-stable#requirements-and-installation
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https://github.com/MultiPath/fairseq-stable#getting-started
full documentationhttps://fairseq.readthedocs.io/
https://github.com/MultiPath/fairseq-stable#pre-trained-models-and-examples
Translationhttps://github.com/MultiPath/fairseq-stable/blob/master/examples/translation/README.md
Language Modelinghttps://github.com/MultiPath/fairseq-stable/blob/master/examples/language_model/README.md
Training with Quantization Noise for Extreme Model Compressionhttps://github.com/MultiPath/fairseq-stable/blob/master/examples/quant_noise/README.md
Neural Machine Translation with Byte-Level Subwords (Wang et al., 2020)https://github.com/MultiPath/fairseq-stable/blob/master/examples/byte_level_bpe/README.md
Multilingual Denoising Pre-training for Neural Machine Translation (Liu et at., 2020)https://github.com/MultiPath/fairseq-stable/blob/master/examples/mbart/README.md
Jointly Learning to Align and Translate with Transformer Models (Garg et al., 2019)https://github.com/MultiPath/fairseq-stable/blob/master/examples/joint_alignment_translation/README.md
Levenshtein Transformer (Gu et al., 2019)https://github.com/MultiPath/fairseq-stable/blob/master/examples/nonautoregressive_translation/README.md
Facebook FAIR's WMT19 News Translation Task Submission (Ng et al., 2019)https://github.com/MultiPath/fairseq-stable/blob/master/examples/wmt19/README.md
RoBERTa: A Robustly Optimized BERT Pretraining Approach (Liu et al., 2019)https://github.com/MultiPath/fairseq-stable/blob/master/examples/roberta/README.md
wav2vec: Unsupervised Pre-training for Speech Recognition (Schneider et al., 2019)https://github.com/MultiPath/fairseq-stable/blob/master/examples/wav2vec/README.md
wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations (Baevski et al., 2019)https://github.com/MultiPath/fairseq-stable/blob/master/examples/wav2vec/README.md
Mixture Models for Diverse Machine Translation: Tricks of the Trade (Shen et al., 2019)https://github.com/MultiPath/fairseq-stable/blob/master/examples/translation_moe/README.md
Pay Less Attention with Lightweight and Dynamic Convolutions (Wu et al., 2019)https://github.com/MultiPath/fairseq-stable/blob/master/examples/pay_less_attention_paper/README.md
Understanding Back-Translation at Scale (Edunov et al., 2018)https://github.com/MultiPath/fairseq-stable/blob/master/examples/backtranslation/README.md
Classical Structured Prediction Losses for Sequence to Sequence Learning (Edunov et al., 2018)https://github.com/pytorch/fairseq/tree/classic_seqlevel
Hierarchical Neural Story Generation (Fan et al., 2018)https://github.com/MultiPath/fairseq-stable/blob/master/examples/stories/README.md
Scaling Neural Machine Translation (Ott et al., 2018)https://github.com/MultiPath/fairseq-stable/blob/master/examples/scaling_nmt/README.md
Convolutional Sequence to Sequence Learning (Gehring et al., 2017)https://github.com/MultiPath/fairseq-stable/blob/master/examples/conv_seq2seq/README.md
Language Modeling with Gated Convolutional Networks (Dauphin et al., 2017)https://github.com/MultiPath/fairseq-stable/blob/master/examples/language_model/conv_lm/README.md
https://github.com/MultiPath/fairseq-stable#join-the-fairseq-community
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