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

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Description: Facebook AI Research Sequence-to-Sequence Toolkit written in Python. - coliflowery/fairseq

Open Graph Description: Facebook AI Research Sequence-to-Sequence Toolkit written in Python. - coliflowery/fairseq

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https://fairseq.readthedocs.io/en/latest/?badge=latest
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Language Modeling with Gated Convolutional Networks (Dauphin et al., 2017)https://patch-diff.githubusercontent.com/coliflowery/fairseq/blob/main/examples/language_model/conv_lm/README.md
Convolutional Sequence to Sequence Learning (Gehring et al., 2017)https://patch-diff.githubusercontent.com/coliflowery/fairseq/blob/main/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://patch-diff.githubusercontent.com/coliflowery/fairseq/blob/main/examples/stories/README.md
wav2vec: Unsupervised Pre-training for Speech Recognition (Schneider et al., 2019)https://patch-diff.githubusercontent.com/coliflowery/fairseq/blob/main/examples/wav2vec/README.md
Pay Less Attention with Lightweight and Dynamic Convolutions (Wu et al., 2019)https://patch-diff.githubusercontent.com/coliflowery/fairseq/blob/main/examples/pay_less_attention_paper/README.md
Scaling Neural Machine Translation (Ott et al., 2018)https://patch-diff.githubusercontent.com/coliflowery/fairseq/blob/main/examples/scaling_nmt/README.md
Understanding Back-Translation at Scale (Edunov et al., 2018)https://patch-diff.githubusercontent.com/coliflowery/fairseq/blob/main/examples/backtranslation/README.md
Adaptive Input Representations for Neural Language Modeling (Baevski and Auli, 2018)https://patch-diff.githubusercontent.com/coliflowery/fairseq/blob/main/examples/language_model/README.adaptive_inputs.md
Lexically constrained decoding with dynamic beam allocation (Post & Vilar, 2018)https://patch-diff.githubusercontent.com/coliflowery/fairseq/blob/main/examples/constrained_decoding/README.md
Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context (Dai et al., 2019)https://patch-diff.githubusercontent.com/coliflowery/fairseq/blob/main/examples/truncated_bptt/README.md
Adaptive Attention Span in Transformers (Sukhbaatar et al., 2019)https://patch-diff.githubusercontent.com/coliflowery/fairseq/blob/main/examples/adaptive_span/README.md
Mixture Models for Diverse Machine Translation: Tricks of the Trade (Shen et al., 2019)https://patch-diff.githubusercontent.com/coliflowery/fairseq/blob/main/examples/translation_moe/README.md
RoBERTa: A Robustly Optimized BERT Pretraining Approach (Liu et al., 2019)https://patch-diff.githubusercontent.com/coliflowery/fairseq/blob/main/examples/roberta/README.md
Facebook FAIR's WMT19 News Translation Task Submission (Ng et al., 2019)https://patch-diff.githubusercontent.com/coliflowery/fairseq/blob/main/examples/wmt19/README.md
Jointly Learning to Align and Translate with Transformer Models (Garg et al., 2019)https://patch-diff.githubusercontent.com/coliflowery/fairseq/blob/main/examples/joint_alignment_translation/README.md
Multilingual Denoising Pre-training for Neural Machine Translation (Liu et at., 2020)https://patch-diff.githubusercontent.com/coliflowery/fairseq/blob/main/examples/mbart/README.md
Neural Machine Translation with Byte-Level Subwords (Wang et al., 2020)https://patch-diff.githubusercontent.com/coliflowery/fairseq/blob/main/examples/byte_level_bpe/README.md
Unsupervised Quality Estimation for Neural Machine Translation (Fomicheva et al., 2020)https://patch-diff.githubusercontent.com/coliflowery/fairseq/blob/main/examples/unsupervised_quality_estimation/README.md
wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations (Baevski et al., 2020)https://patch-diff.githubusercontent.com/coliflowery/fairseq/blob/main/examples/wav2vec/README.md
Generating Medical Reports from Patient-Doctor Conversations Using Sequence-to-Sequence Models (Enarvi et al., 2020)https://patch-diff.githubusercontent.com/coliflowery/fairseq/blob/main/examples/pointer_generator/README.md
Linformer: Self-Attention with Linear Complexity (Wang et al., 2020)https://patch-diff.githubusercontent.com/coliflowery/fairseq/blob/main/examples/linformer/README.md
Cross-lingual Retrieval for Iterative Self-Supervised Training (Tran et al., 2020)https://patch-diff.githubusercontent.com/coliflowery/fairseq/blob/main/examples/criss/README.md
Deep Transformers with Latent Depth (Li et al., 2020)https://patch-diff.githubusercontent.com/coliflowery/fairseq/blob/main/examples/latent_depth/README.md
Unsupervised Cross-lingual Representation Learning for Speech Recognition (Conneau et al., 2020)https://arxiv.org/abs/2006.13979
Self-training and Pre-training are Complementary for Speech Recognition (Xu et al., 2020)https://arxiv.org/abs/2010.11430
Robust wav2vec 2.0: Analyzing Domain Shift in Self-Supervised Pre-Training (Hsu, et al., 2021)https://arxiv.org/abs/2104.01027
Unsupervised Speech Recognition (Baevski, et al., 2021)https://arxiv.org/abs/2105.11084
Simple and Effective Zero-shot Cross-lingual Phoneme Recognition (Xu et al., 2021)https://arxiv.org/abs/2109.11680
VideoCLIP: Contrastive Pre-training for Zero-shot Video-Text Understanding (Xu et. al., 2021)https://arxiv.org/pdf/2109.14084.pdf
VLM: Task-agnostic Video-Language Model Pre-training for Video Understanding (Xu et. al., 2021)https://aclanthology.org/2021.findings-acl.370.pdf
NormFormer: Improved Transformer Pretraining with Extra Normalization (Shleifer et. al, 2021)https://patch-diff.githubusercontent.com/coliflowery/fairseq/blob/main/examples/normformer/README.md
Levenshtein Transformer (Gu et al., 2019)https://patch-diff.githubusercontent.com/coliflowery/fairseq/blob/main/examples/nonautoregressive_translation/README.md
Better Fine-Tuning by Reducing Representational Collapse (Aghajanyan et al. 2020)https://patch-diff.githubusercontent.com/coliflowery/fairseq/blob/main/examples/rxf/README.md
https://patch-diff.githubusercontent.com/coliflowery/fairseq#whats-new
Released models for Scaling Speech Technology to 1,000+ Languages (Pratap, et al., 2023)https://patch-diff.githubusercontent.com/coliflowery/fairseq/blob/main/examples/mms/README.md
Released code for wav2vec-U 2.0 from Towards End-to-end Unsupervised Speech Recognition (Liu, et al., 2022)https://patch-diff.githubusercontent.com/coliflowery/fairseq/blob/main/examples/wav2vec/unsupervised/README.md
Integration with xFormershttps://github.com/facebookresearch/xformers
Released Direct speech-to-speech translation codehttps://patch-diff.githubusercontent.com/coliflowery/fairseq/blob/main/examples/speech_to_speech/README.md
Released VideoCLIP and VLM modelshttps://patch-diff.githubusercontent.com/coliflowery/fairseq/blob/main/examples/MMPT/README.md
Released multilingual finetuned XLSR-53 modelhttps://patch-diff.githubusercontent.com/coliflowery/fairseq/blob/main/examples/wav2vec/README.md
master branch renamed to mainhttps://github.com/github/renaming
Released DrNMT codehttps://patch-diff.githubusercontent.com/coliflowery/fairseq/blob/main/examples/discriminative_reranking_nmt/README.md
Released Robust wav2vec 2.0 modelhttps://patch-diff.githubusercontent.com/coliflowery/fairseq/blob/main/examples/wav2vec/README.md
Released XLMR-XL and XLMR-XXL modelshttps://patch-diff.githubusercontent.com/coliflowery/fairseq/blob/main/examples/xlmr/README.md
Released Unsupervised Speech Recognition codehttps://patch-diff.githubusercontent.com/coliflowery/fairseq/blob/main/examples/wav2vec/unsupervised/README.md
Added full parameter and optimizer state sharding + CPU offloadinghttps://patch-diff.githubusercontent.com/coliflowery/fairseq/blob/main/examples/fully_sharded_data_parallel/README.md
Added LASER training codehttps://patch-diff.githubusercontent.com/coliflowery/fairseq/blob/main/examples/laser/README.md
Added Adaptive Attention Span codehttps://patch-diff.githubusercontent.com/coliflowery/fairseq/blob/main/examples/adaptive_span/README.md
GottBERT model and code releasedhttps://patch-diff.githubusercontent.com/coliflowery/fairseq/blob/main/examples/gottbert/README.md
Hydrahttps://github.com/facebookresearch/hydra
see documentation explaining how to use it for new and existing projectshttps://patch-diff.githubusercontent.com/coliflowery/fairseq/blob/main/docs/hydra_integration.md
fairseq 0.10.0 releasedhttps://github.com/pytorch/fairseq/releases/tag/v0.10.0
Added R3F/R4F (Better Fine-Tuning) codehttps://patch-diff.githubusercontent.com/coliflowery/fairseq/blob/main/examples/rxf/README.md
Deep Transformer with Latent Depth code releasedhttps://patch-diff.githubusercontent.com/coliflowery/fairseq/blob/main/examples/latent_depth/README.md
Added CRISS models and codehttps://patch-diff.githubusercontent.com/coliflowery/fairseq/blob/main/examples/criss/README.md
Added Linformer codehttps://patch-diff.githubusercontent.com/coliflowery/fairseq/blob/main/examples/linformer/README.md
Added pointer-generator networkshttps://patch-diff.githubusercontent.com/coliflowery/fairseq/blob/main/examples/pointer_generator/README.md
Added lexically constrained decodinghttps://patch-diff.githubusercontent.com/coliflowery/fairseq/blob/main/examples/constrained_decoding/README.md
wav2vec2 models and code releasedhttps://patch-diff.githubusercontent.com/coliflowery/fairseq/blob/main/examples/wav2vec/README.md
Unsupervised Quality Estimation code releasedhttps://patch-diff.githubusercontent.com/coliflowery/fairseq/blob/main/examples/unsupervised_quality_estimation/README.md
Follow fairseq on Twitterhttps://twitter.com/fairseq
Monotonic Multihead Attention code releasedhttps://patch-diff.githubusercontent.com/coliflowery/fairseq/blob/main/examples/simultaneous_translation/README.md
Quant-Noise code releasedhttps://patch-diff.githubusercontent.com/coliflowery/fairseq/blob/main/examples/quant_noise/README.md
Initial model parallel support and 11B parameters unidirectional LM releasedhttps://patch-diff.githubusercontent.com/coliflowery/fairseq/blob/main/examples/megatron_11b/README.md
Byte-level BPE code releasedhttps://patch-diff.githubusercontent.com/coliflowery/fairseq/blob/main/examples/byte_level_bpe/README.md
mBART model and code releasedhttps://patch-diff.githubusercontent.com/coliflowery/fairseq/blob/main/examples/mbart/README.md
Added tutorial for back-translationhttps://github.com/pytorch/fairseq/tree/main/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://patch-diff.githubusercontent.com/coliflowery/fairseq/blob/main/examples/camembert/README.md
BART model and code releasedhttps://patch-diff.githubusercontent.com/coliflowery/fairseq/blob/main/examples/bart/README.md
XLM-R models and code releasedhttps://patch-diff.githubusercontent.com/coliflowery/fairseq/blob/main/examples/xlmr/README.md
Nonautoregressive translation code releasedhttps://patch-diff.githubusercontent.com/coliflowery/fairseq/blob/main/examples/nonautoregressive_translation/README.md
WMT'19 models releasedhttps://patch-diff.githubusercontent.com/coliflowery/fairseq/blob/main/examples/wmt19/README.md
RoBERTa models and code releasedhttps://patch-diff.githubusercontent.com/coliflowery/fairseq/blob/main/examples/roberta/README.md
wav2vec models and code releasedhttps://patch-diff.githubusercontent.com/coliflowery/fairseq/blob/main/examples/wav2vec/README.md
https://patch-diff.githubusercontent.com/coliflowery/fairseq#features
Vijayakumar et al., 2016https://arxiv.org/abs/1610.02424
lexically constrained decodinghttps://patch-diff.githubusercontent.com/coliflowery/fairseq/blob/main/examples/constrained_decoding/README.md
gradient accumulationhttps://fairseq.readthedocs.io/en/latest/getting_started.html#large-mini-batch-training-with-delayed-updates
mixed precision traininghttps://fairseq.readthedocs.io/en/latest/getting_started.html#training-with-half-precision-floating-point-fp16
NVIDIA tensor coreshttps://developer.nvidia.com/tensor-cores
extensiblehttps://fairseq.readthedocs.io/en/latest/overview.html
flexible configurationhttps://patch-diff.githubusercontent.com/coliflowery/fairseq/blob/main/docs/hydra_integration.md
Hydrahttps://github.com/facebookresearch/hydra
full parameter and optimizer state shardinghttps://patch-diff.githubusercontent.com/coliflowery/fairseq/blob/main/examples/fully_sharded_data_parallel/README.md
offloading parameters to CPUhttps://patch-diff.githubusercontent.com/coliflowery/fairseq/blob/main/examples/fully_sharded_data_parallel/README.md
pre-trained models for translation and language modelinghttps://patch-diff.githubusercontent.com/coliflowery/fairseq#pre-trained-models-and-examples
translationhttps://pytorch.org/hub/pytorch_fairseq_translation/
RoBERTahttps://pytorch.org/hub/pytorch_fairseq_roberta/
https://patch-diff.githubusercontent.com/coliflowery/fairseq#requirements-and-installation
PyTorchhttp://pytorch.org/
NCCLhttps://github.com/NVIDIA/nccl
apexhttps://github.com/NVIDIA/apex
PyArrowhttps://arrow.apache.org/docs/python/install.html#using-pip
https://patch-diff.githubusercontent.com/coliflowery/fairseq#getting-started
full documentationhttps://fairseq.readthedocs.io/
https://patch-diff.githubusercontent.com/coliflowery/fairseq#pre-trained-models-and-examples
Translationhttps://patch-diff.githubusercontent.com/coliflowery/fairseq/blob/main/examples/translation/README.md
Language Modelinghttps://patch-diff.githubusercontent.com/coliflowery/fairseq/blob/main/examples/language_model/README.md
XLS-R: Self-supervised Cross-lingual Speech Representation Learning at Scale (Babu et al., 2021)https://patch-diff.githubusercontent.com/coliflowery/fairseq/blob/main/examples/wav2vec/xlsr/README.md
Cross-lingual Retrieval for Iterative Self-Supervised Training (Tran et al., 2020)https://patch-diff.githubusercontent.com/coliflowery/fairseq/blob/main/examples/criss/README.md
wav2vec 2.0: A Framework for Self-Supervised Learning of Speech Representations (Baevski et al., 2020)https://patch-diff.githubusercontent.com/coliflowery/fairseq/blob/main/examples/wav2vec/README.md
Unsupervised Quality Estimation for Neural Machine Translation (Fomicheva et al., 2020)https://patch-diff.githubusercontent.com/coliflowery/fairseq/blob/main/examples/unsupervised_quality_estimation/README.md
Training with Quantization Noise for Extreme Model Compression ({Fan*, Stock*} et al., 2020)https://patch-diff.githubusercontent.com/coliflowery/fairseq/blob/main/examples/quant_noise/README.md
Neural Machine Translation with Byte-Level Subwords (Wang et al., 2020)https://patch-diff.githubusercontent.com/coliflowery/fairseq/blob/main/examples/byte_level_bpe/README.md
Multilingual Denoising Pre-training for Neural Machine Translation (Liu et at., 2020)https://patch-diff.githubusercontent.com/coliflowery/fairseq/blob/main/examples/mbart/README.md
Reducing Transformer Depth on Demand with Structured Dropout (Fan et al., 2019)https://patch-diff.githubusercontent.com/coliflowery/fairseq/blob/main/examples/layerdrop/README.md
Jointly Learning to Align and Translate with Transformer Models (Garg et al., 2019)https://patch-diff.githubusercontent.com/coliflowery/fairseq/blob/main/examples/joint_alignment_translation/README.md
Levenshtein Transformer (Gu et al., 2019)https://patch-diff.githubusercontent.com/coliflowery/fairseq/blob/main/examples/nonautoregressive_translation/README.md
Facebook FAIR's WMT19 News Translation Task Submission (Ng et al., 2019)https://patch-diff.githubusercontent.com/coliflowery/fairseq/blob/main/examples/wmt19/README.md
RoBERTa: A Robustly Optimized BERT Pretraining Approach (Liu et al., 2019)https://patch-diff.githubusercontent.com/coliflowery/fairseq/blob/main/examples/roberta/README.md
wav2vec: Unsupervised Pre-training for Speech Recognition (Schneider et al., 2019)https://patch-diff.githubusercontent.com/coliflowery/fairseq/blob/main/examples/wav2vec/README.md
Mixture Models for Diverse Machine Translation: Tricks of the Trade (Shen et al., 2019)https://patch-diff.githubusercontent.com/coliflowery/fairseq/blob/main/examples/translation_moe/README.md
Pay Less Attention with Lightweight and Dynamic Convolutions (Wu et al., 2019)https://patch-diff.githubusercontent.com/coliflowery/fairseq/blob/main/examples/pay_less_attention_paper/README.md
Understanding Back-Translation at Scale (Edunov et al., 2018)https://patch-diff.githubusercontent.com/coliflowery/fairseq/blob/main/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://patch-diff.githubusercontent.com/coliflowery/fairseq/blob/main/examples/stories/README.md
Scaling Neural Machine Translation (Ott et al., 2018)https://patch-diff.githubusercontent.com/coliflowery/fairseq/blob/main/examples/scaling_nmt/README.md
Convolutional Sequence to Sequence Learning (Gehring et al., 2017)https://patch-diff.githubusercontent.com/coliflowery/fairseq/blob/main/examples/conv_seq2seq/README.md
Language Modeling with Gated Convolutional Networks (Dauphin et al., 2017)https://patch-diff.githubusercontent.com/coliflowery/fairseq/blob/main/examples/language_model/README.conv.md
https://patch-diff.githubusercontent.com/coliflowery/fairseq#join-the-fairseq-community
https://twitter.com/fairseqhttps://twitter.com/fairseq
https://www.facebook.com/groups/fairseq.usershttps://www.facebook.com/groups/fairseq.users
https://groups.google.com/forum/#!forum/fairseq-usershttps://groups.google.com/forum/#!forum/fairseq-users
https://patch-diff.githubusercontent.com/coliflowery/fairseq#license
https://patch-diff.githubusercontent.com/coliflowery/fairseq#citation
Readme https://patch-diff.githubusercontent.com/coliflowery/fairseq#readme-ov-file
MIT license https://patch-diff.githubusercontent.com/coliflowery/fairseq#MIT-1-ov-file
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