Allennlp Pretrained Model

Neural Networks Engineering – Telegram

Neural Networks Engineering – Telegram

Profillic: AI research & source code to supercharge your projects

Profillic: AI research & source code to supercharge your projects

Language Models and Contextualised Word Embeddings

Language Models and Contextualised Word Embeddings

A Review of Deep Contextualized Word Representations (Peters+, 2018)

A Review of Deep Contextualized Word Representations (Peters+, 2018)

한국 오픈소스 개발자 커뮤니티 - ranked in

한국 오픈소스 개발자 커뮤니티 - ranked in

1 Introduction to Natural Language Processing - Real-World Natural

1 Introduction to Natural Language Processing - Real-World Natural

TensorFlow 2 0, PyToch Dev Conference, DecaNLP, BERT, Annotated

TensorFlow 2 0, PyToch Dev Conference, DecaNLP, BERT, Annotated

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

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

Profillic: AI research & source code to supercharge your projects

Profillic: AI research & source code to supercharge your projects

SuperGLUE: A Stickier Benchmark for General-Purpose Language

SuperGLUE: A Stickier Benchmark for General-Purpose Language

arXiv:1903 05987v2 [cs CL] 11 Jun 2019

arXiv:1903 05987v2 [cs CL] 11 Jun 2019

Claim Extraction in Biomedical Publications using Deep Discourse

Claim Extraction in Biomedical Publications using Deep Discourse

Spot the Odd Man Out: Exploring the Associative Power of Lexical

Spot the Odd Man Out: Exploring the Associative Power of Lexical

Comparing Pre-trained Language Models with Semantic Parsing - Jack Koch

Comparing Pre-trained Language Models with Semantic Parsing - Jack Koch

A Tutorial to Fine-Tuning BERT with Fast AI | Machine Learning Explained

A Tutorial to Fine-Tuning BERT with Fast AI | Machine Learning Explained

arXiv:1904 00585v2 [cs CL] 17 May 2019

arXiv:1904 00585v2 [cs CL] 17 May 2019

WHAT DO YOU LEARN FROM CONTEXT? PROBING FOR SENTENCE STRUCTURE IN

WHAT DO YOU LEARN FROM CONTEXT? PROBING FOR SENTENCE STRUCTURE IN

Deep Learning experiments on News Classification Dataset with Keras

Deep Learning experiments on News Classification Dataset with Keras

Using Transfer Learning and Pre-trained Language Models to Classify Spam

Using Transfer Learning and Pre-trained Language Models to Classify Spam

Comparing the Functionality of Open Source Natural Language

Comparing the Functionality of Open Source Natural Language

Choose the Suitable Transformer Framework for Your Needs

Choose the Suitable Transformer Framework for Your Needs

Figure 12 from Implicit Self-Regularization in Deep Neural Networks

Figure 12 from Implicit Self-Regularization in Deep Neural Networks

Comparing the Functionality of Open Source Natural Language

Comparing the Functionality of Open Source Natural Language

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

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

Solution: optimizer got an empty parameter list — Tahir Naeem

Solution: optimizer got an empty parameter list — Tahir Naeem

Pretrained model for fine-grained-ner ? · Issue #2867 · allenai

Pretrained model for fine-grained-ner ? · Issue #2867 · allenai

2 Your First NLP Application - Real-World Natural Language

2 Your First NLP Application - Real-World Natural Language

Tutorial: Build your own Skip-gram Embeddings and use them in a

Tutorial: Build your own Skip-gram Embeddings and use them in a

Let's catch up – It has been a while… – Shirish Kadam

Let's catch up – It has been a while… – Shirish Kadam

DeepPavlov: Open-Source Library for Dialogue Systems

DeepPavlov: Open-Source Library for Dialogue Systems

A Review of Deep Contextualized Word Representations (Peters+, 2018)

A Review of Deep Contextualized Word Representations (Peters+, 2018)

Paper Dissected:

Paper Dissected: "Attention is All You Need" Explained | Machine

Language Models and Contextualised Word Embeddings

Language Models and Contextualised Word Embeddings

How to improve your machine learning models by explaining

How to improve your machine learning models by explaining

Additional Ideas for Making Your Baseline NER Model Stronger – mc ai

Additional Ideas for Making Your Baseline NER Model Stronger – mc ai

Training a Sentiment Analyzer using AllenNLP (in less than 100 lines

Training a Sentiment Analyzer using AllenNLP (in less than 100 lines

A Review of Deep Contextualized Word Representations (Peters+, 2018)

A Review of Deep Contextualized Word Representations (Peters+, 2018)

用TensorFlow hub 在Keras 中做ELMo 嵌入-图文外翻-AI研习社

用TensorFlow hub 在Keras 中做ELMo 嵌入-图文外翻-AI研习社

GPT-2: How to Build

GPT-2: How to Build "The AI That's Too Dangerous to Release”

DataScienceToday - Beyond Word Embeddings Part 1

DataScienceToday - Beyond Word Embeddings Part 1

How to use transfer learning to bootstrap image classification and qu…

How to use transfer learning to bootstrap image classification and qu…

arXiv:1907 11438v1 [cs CL] 26 Jul 2019

arXiv:1907 11438v1 [cs CL] 26 Jul 2019

Ideas on how to fine-tune a pre-trained model in PyTorch – mc ai

Ideas on how to fine-tune a pre-trained model in PyTorch – mc ai

Building client routing / semantic search at Profi ru / Хабр

Building client routing / semantic search at Profi ru / Хабр

Beyond Word Embeddings Part 2 - Towards Data Science

Beyond Word Embeddings Part 2 - Towards Data Science

A Gentle Introduction to Skip-gram (word2vec) Model — AllenNLP ver

A Gentle Introduction to Skip-gram (word2vec) Model — AllenNLP ver

Paper Summary: Evaluation of sentence embeddings in downstream and

Paper Summary: Evaluation of sentence embeddings in downstream and

ITSlide - 专注于PPT幻灯片的分享平台

ITSlide - 专注于PPT幻灯片的分享平台

Predicting the accuracy of neural networks from final and

Predicting the accuracy of neural networks from final and

Happy Together: Learning and Understanding Appraisal From Natural

Happy Together: Learning and Understanding Appraisal From Natural

Double Embeddings and CNN-based Sequence Labeling for Aspect

Double Embeddings and CNN-based Sequence Labeling for Aspect

TRADITIONAL AND HEAVY TAILED SELF REGULAR- IZATION IN NEURAL NETWORK

TRADITIONAL AND HEAVY TAILED SELF REGULAR- IZATION IN NEURAL NETWORK

Facebook Open-Sources PyText – A NLP Modeling Framework

Facebook Open-Sources PyText – A NLP Modeling Framework

A Tutorial to Fine-Tuning BERT with Fast AI | Machine Learning Explained

A Tutorial to Fine-Tuning BERT with Fast AI | Machine Learning Explained

LINSPECTOR: Multilingual Probing Tasks for Word Representations

LINSPECTOR: Multilingual Probing Tasks for Word Representations

In-domain Context-aware Token Embeddings Improve Biomedical Named

In-domain Context-aware Token Embeddings Improve Biomedical Named

Happy Together: Learning and Understanding Appraisal From Natural

Happy Together: Learning and Understanding Appraisal From Natural

Missing key(s) in state_dict - PyTorch Forums

Missing key(s) in state_dict - PyTorch Forums

Persagen Consulting | Specializing in molecular genomics, precision

Persagen Consulting | Specializing in molecular genomics, precision

Building Seq2Seq Machine Translation Models using AllenNLP – Real

Building Seq2Seq Machine Translation Models using AllenNLP – Real

Improving a Sentiment Analyzer using ELMo — Word Embeddings on

Improving a Sentiment Analyzer using ELMo — Word Embeddings on

How to improve your machine learning models by explaining

How to improve your machine learning models by explaining

Deep Learning experiments on News Classification Dataset with Keras

Deep Learning experiments on News Classification Dataset with Keras

To Tune or Not to Tune? Adapting Pretrained Representations to

To Tune or Not to Tune? Adapting Pretrained Representations to

Elmo not using character cnn · Issue #2132 · allenai/allennlp · GitHub

Elmo not using character cnn · Issue #2132 · allenai/allennlp · GitHub

arXiv:1907 11438v1 [cs CL] 26 Jul 2019

arXiv:1907 11438v1 [cs CL] 26 Jul 2019

arXiv:1907 11438v1 [cs CL] 26 Jul 2019

arXiv:1907 11438v1 [cs CL] 26 Jul 2019

Tutorial: Build your own Skip-gram Embeddings and use them in a

Tutorial: Build your own Skip-gram Embeddings and use them in a

Language Models and Contextualised Word Embeddings

Language Models and Contextualised Word Embeddings

How to use transfer learning to bootstrap image classification and qu…

How to use transfer learning to bootstrap image classification and qu…

Practical AI #32: OpenAI's new

Practical AI #32: OpenAI's new "dangerous" GPT-2 language model get

Persagen Consulting | Specializing in molecular genomics, precision

Persagen Consulting | Specializing in molecular genomics, precision

57 Summaries of Machine Learning and NLP Research - Marek Rei

57 Summaries of Machine Learning and NLP Research - Marek Rei

Run AllenNLP models on free GPUs using Google's Colab notebooks!

Run AllenNLP models on free GPUs using Google's Colab notebooks!