Fairseq Github

Gathers machine learning and deep learning models for Stock forecasting

Gathers machine learning and deep learning models for Stock forecasting

Temporal Convolutional Nets (TCNs) Take Over from RNNs for NLP

Temporal Convolutional Nets (TCNs) Take Over from RNNs for NLP

http://github com/facebookresearch/fairseq-py

http://github com/facebookresearch/fairseq-py

When Recurrent Models Don't Need to be Recurrent – The Berkeley

When Recurrent Models Don't Need to be Recurrent – The Berkeley

Hunter NMT System for WMT18 Biomedical Translation Task: Transfer

Hunter NMT System for WMT18 Biomedical Translation Task: Transfer

Levenshtein Transformer - Paper Detail

Levenshtein Transformer - Paper Detail

Choose the Suitable Transformer Framework for Your Needs

Choose the Suitable Transformer Framework for Your Needs

Hunter NMT System for WMT18 Biomedical Translation Task: Transfer

Hunter NMT System for WMT18 Biomedical Translation Task: Transfer

OCEAN-C: mapping hubs of open chromatin interactions across the

OCEAN-C: mapping hubs of open chromatin interactions across the

Revue de Presse Xebia - Blog Xebia - Expertise Technologique

Revue de Presse Xebia - Blog Xebia - Expertise Technologique

Getting started: training and prediction with TensorFlow Estimator

Getting started: training and prediction with TensorFlow Estimator

Pervasive Attention: 2D Convolutional Neural Networks for Sequence

Pervasive Attention: 2D Convolutional Neural Networks for Sequence

Manning | Real-World Natural Language Processing

Manning | Real-World Natural Language Processing

15大领域,50篇文章,2018年应当这样学习机器学习- TinyMind -专注人工

15大领域,50篇文章,2018年应当这样学习机器学习- TinyMind -专注人工

History and Frontier of the Neural Machine Translation | Synced

History and Frontier of the Neural Machine Translation | Synced

Jacob Eisenstein on Twitter:

Jacob Eisenstein on Twitter: "Trained up a chatbot on 100M turns of

MAKE | Free Full-Text | Causal Discovery with Attention-Based

MAKE | Free Full-Text | Causal Discovery with Attention-Based

Papers With Code : wav2vec: Unsupervised Pre-training for Speech

Papers With Code : wav2vec: Unsupervised Pre-training for Speech

Temporal Convolutional Nets (TCNs) Take Over from RNNs for NLP

Temporal Convolutional Nets (TCNs) Take Over from RNNs for NLP

Github 上Star 过千的PyTorch NLP 相关项目- 云+社区- 腾讯云

Github 上Star 过千的PyTorch NLP 相关项目- 云+社区- 腾讯云

Translation with a Sequence to Sequence Network and Attention

Translation with a Sequence to Sequence Network and Attention

Choose the Suitable Transformer Framework for Your Needs

Choose the Suitable Transformer Framework for Your Needs

sequence to sequence模型- 牧野的博客- CSDN博客

sequence to sequence模型- 牧野的博客- CSDN博客

This thing called Weight Decay - Becoming Human: Artificial

This thing called Weight Decay - Becoming Human: Artificial

Semantic Parsing for Task Oriented Dialog using Hierarchical

Semantic Parsing for Task Oriented Dialog using Hierarchical

PyTorch - an ecosystem for deep learning with Soumith Chintala (Faceb…

PyTorch - an ecosystem for deep learning with Soumith Chintala (Faceb…

Introduction to pointer networks - FastML

Introduction to pointer networks - FastML

Translation with a Sequence to Sequence Network and Attention

Translation with a Sequence to Sequence Network and Attention

Deep Learning: Past, Present and Future

Deep Learning: Past, Present and Future

PDF] Pay Less Attention with Lightweight and Dynamic Convolutions

PDF] Pay Less Attention with Lightweight and Dynamic Convolutions

Facebook to Open Source Its Neural Machine Translation, Zuckerberg  Announces | Slator

Facebook to Open Source Its Neural Machine Translation, Zuckerberg Announces | Slator

CNNs found to jump around more skillfully than RNNs: Compositional

CNNs found to jump around more skillfully than RNNs: Compositional

http://github com/facebookresearch/fairseq-py

http://github com/facebookresearch/fairseq-py

Getting started: training and prediction with TensorFlow Estimator

Getting started: training and prediction with TensorFlow Estimator

This thing called Weight Decay - Becoming Human: Artificial

This thing called Weight Decay - Becoming Human: Artificial

Deep Learning: Past, Present and Future

Deep Learning: Past, Present and Future

Video Series: Mixed-Precision Training Techniques Using Tensor Cores

Video Series: Mixed-Precision Training Techniques Using Tensor Cores

Semantic Parsing for Task Oriented Dialog using Hierarchical

Semantic Parsing for Task Oriented Dialog using Hierarchical

如何使用fairseq复现Transformer NMT | Weekly Review

如何使用fairseq复现Transformer NMT | Weekly Review

Facebook发表卷积神经网络seq2seq算法(笔记) - 知乎

Facebook发表卷积神经网络seq2seq算法(笔记) - 知乎

Video Series: Mixed-Precision Training Techniques Using Tensor Cores

Video Series: Mixed-Precision Training Techniques Using Tensor Cores

Video Series: Mixed-Precision Training Techniques Using Tensor Cores

Video Series: Mixed-Precision Training Techniques Using Tensor Cores

arXiv:1805 04833v1 [cs CL] 13 May 2018

arXiv:1805 04833v1 [cs CL] 13 May 2018

Controllable Abstractive Summarization

Controllable Abstractive Summarization

Enhancer identification and activity evaluation in the red flour

Enhancer identification and activity evaluation in the red flour

MAKE | Free Full-Text | Causal Discovery with Attention-Based

MAKE | Free Full-Text | Causal Discovery with Attention-Based

BERTScore: Evaluating Text Generation with BERT

BERTScore: Evaluating Text Generation with BERT

OCEAN-C: mapping hubs of open chromatin interactions across the

OCEAN-C: mapping hubs of open chromatin interactions across the

Attention based English to Punjabi neural machine translation - IOS

Attention based English to Punjabi neural machine translation - IOS

Pervasive Attention: 2D Convolutional Neural Networks for Sequence

Pervasive Attention: 2D Convolutional Neural Networks for Sequence

fairseq: A Fast, Extensible Toolkit for Sequence Modeling | Myle Ott

fairseq: A Fast, Extensible Toolkit for Sequence Modeling | Myle Ott

Understanding incremental decoding in fairseq – Telesens

Understanding incremental decoding in fairseq – Telesens

http://github com/facebookresearch/fairseq-py

http://github com/facebookresearch/fairseq-py

CS224N Project Report Faster Transformers for Text Summarization

CS224N Project Report Faster Transformers for Text Summarization

Is Google’s New Lingvo Framework a Big Deal for Machine Translation? |  Slator

Is Google’s New Lingvo Framework a Big Deal for Machine Translation? | Slator

Classical Structured Prediction Losses for Sequence to Sequence Learning

Classical Structured Prediction Losses for Sequence to Sequence Learning

Mixture Models for Diverse Machine Translation: Tricks of the Trade

Mixture Models for Diverse Machine Translation: Tricks of the Trade

Facebook开源PyTorch版本fairseq翻译模型,训练速度提高50%-云栖社区-阿里云

Facebook开源PyTorch版本fairseq翻译模型,训练速度提高50%-云栖社区-阿里云

MAKE | Free Full-Text | Causal Discovery with Attention-Based

MAKE | Free Full-Text | Causal Discovery with Attention-Based

FAIR turns five: What we've accomplished and where we're headed

FAIR turns five: What we've accomplished and where we're headed

Mixed Precision Training for NLP and Speech Recognition with

Mixed Precision Training for NLP and Speech Recognition with

arXiv:1906 02448v2 [cs CL] 17 Jun 2019

arXiv:1906 02448v2 [cs CL] 17 Jun 2019

NVIDIA Unveils Beastly 2 Petaflop DGX-2 AI Supercomputer With 32GB

NVIDIA Unveils Beastly 2 Petaflop DGX-2 AI Supercomputer With 32GB

Getting more DL Training with Tensor Cores and AMP

Getting more DL Training with Tensor Cores and AMP

History and Frontier of the Neural Machine Translation | Synced

History and Frontier of the Neural Machine Translation | Synced

This thing called Weight Decay - Becoming Human: Artificial

This thing called Weight Decay - Becoming Human: Artificial

一周简报|Facebook开源机器学习翻译项目fairseq ,可翻译6500种语言- 云+

一周简报|Facebook开源机器学习翻译项目fairseq ,可翻译6500种语言- 云+

Margin-based Parallel Corpus Mining with Multilingual Sentence

Margin-based Parallel Corpus Mining with Multilingual Sentence

30 Amazing Machine Learning Projects for the Past Year (v 2018)

30 Amazing Machine Learning Projects for the Past Year (v 2018)

MAKE | Free Full-Text | Causal Discovery with Attention-Based

MAKE | Free Full-Text | Causal Discovery with Attention-Based

REVOLUTIONIZING RETAIL WITH ARTIFICIAL INTELLIGENCE

REVOLUTIONIZING RETAIL WITH ARTIFICIAL INTELLIGENCE

DakaRand 1 0: Revisiting Clock Drift For Entropy Generation | Dan

DakaRand 1 0: Revisiting Clock Drift For Entropy Generation | Dan

Pervasive Attention: 2D Convolutional Neural Networks for Sequence

Pervasive Attention: 2D Convolutional Neural Networks for Sequence

PyTorch - an ecosystem for deep learning with Soumith Chintala (Faceb…

PyTorch - an ecosystem for deep learning with Soumith Chintala (Faceb…

Google AI Blog: Introducing tf-seq2seq: An Open Source Sequence-to

Google AI Blog: Introducing tf-seq2seq: An Open Source Sequence-to

新手必备| 史上最全的PyTorch学习资源汇总- 知乎

新手必备| 史上最全的PyTorch学习资源汇总- 知乎

FAIR turns five: What we've accomplished and where we're headed

FAIR turns five: What we've accomplished and where we're headed

CS224N Project Report Faster Transformers for Text Summarization

CS224N Project Report Faster Transformers for Text Summarization

库、教程、论文实现,这是一份超全的PyTorch 资源列表(Github 2 2K 星

库、教程、论文实现,这是一份超全的PyTorch 资源列表(Github 2 2K 星

Gathers machine learning and deep learning models for Stock forecasting

Gathers machine learning and deep learning models for Stock forecasting