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natural-language-processing x

52 search results found

Nlp Tutorial ⭐ 13,226

Natural Language Processing Tutorial for Deep Learning Researchers

Attention Is All You Need Pytorch ⭐ 7,910

A PyTorch implementation of the Transformer model in "Attention is All You Need".

Text_classification ⭐ 7,628

all kinds of text classification models and more with deep learning

Bertviz ⭐ 5,547

BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)

Nlp_paper_study ⭐ 3,373

该仓库主要记录 NLP 算法工程师相关的顶会论文研读笔记

Absa Pytorch ⭐ 1,782

Aspect Based Sentiment Analysis, PyTorch Implementations. 基于方面的情感分析，使用PyTorch实现。

Bi Att Flow ⭐ 1,510

Bi-directional Attention Flow (BiDAF) network is a multi-stage hierarchical process that represents context at different levels of granularity and uses a bi-directional attention flow mechanism to achieve a query-aware context representation without early summarization.

Nlp Models Tensorflow ⭐ 1,329

Gathers machine learning and Tensorflow deep learning models for NLP problems, 1.13 < Tensorflow < 2.0

Nlp Paper ⭐ 1,070

自然语言处理领域下的相关论文（附阅读笔记），复现模型以及数据处理等（代码含TensorFlow和Py

Nlp Tutorials ⭐ 794

Simple implementations of NLP models. Tutorials are written in Chinese on my website https://mofanpy.com

Keras Attention ⭐ 656

Visualizing RNNs using the attention mechanism

Textclassification Keras ⭐ 649

Text classification models implemented in Keras, including: FastText, TextCNN, TextRNN, TextBiRNN, TextAttBiRNN, HAN, RCNN, RCNNVariant, etc.

Long Range Arena ⭐ 635

Long Range Arena for Benchmarking Efficient Transformers

Rlseq2seq ⭐ 610

Deep Reinforcement Learning For Sequence to Sequence Models

Nlp Paper ⭐ 579

Tensorflow Implementation of R-Net

Transformers.jl ⭐ 479

Julia Implementation of Transformer models

Attention Networks For Classification ⭐ 477

Hierarchical Attention Networks for Document Classification in PyTorch

Pervasive Attention: 2D Convolutional Networks for Sequence-to-Sequence Prediction

Bigbird ⭐ 433

Transformers for Longer Sequences

Ner Bert ⭐ 403

BERT-NER (nert-bert) with google bert https://github.com/google-research.

Hierarchical Attention Networks ⭐ 396

Document classification with Hierarchical Attention Networks in TensorFlow. WARNING: project is currently unmaintained, issues will probably not be addressed.

Awesome Gcn ⭐ 377

resources for graph convolutional networks （图卷积神经网络相关资源）

Deep_learning_nlp ⭐ 359

Keras, PyTorch, and NumPy Implementations of Deep Learning Architectures for NLP

Cs224n 2019 Solutions ⭐ 329

Complete solutions for Stanford CS224n, winter, 2019

Marktool ⭐ 321

DoTAT 是一款基于web、面向领域的通用文本标注工具，支持大规模实体标注、关系标注、事件标注、文本分类、基于

Text Classification Models Pytorch ⭐ 309

Implementation of State-of-the-art Text Classification Models in Pytorch

Transformer Tensorflow ⭐ 304

TensorFlow implementation of 'Attention Is All You Need (2017. 6)'

Tacred Relation ⭐ 233

PyTorch implementation of the position-aware attention model for relation extraction

Tf Nlp Blocks ⭐ 231

Some frequently used NLP blocks I implemented

Sohu_competition ⭐ 216

Sohu's 2018 content recognition competition 1st solution(搜狐内容识别大赛第一名解决方案)

Pytorch Batch Attention Seq2seq ⭐ 215

PyTorch implementation of batched bi-RNN encoder and attention-decoder.

Dl_paperreadingmeeting ⭐ 214

Deep Learning Paper Reading Meeting-Archive

Multimodal Sentiment Analysis ⭐ 205

Attention-based multimodal fusion for sentiment analysis

Graph Convolution Nlp ⭐ 200

Graph Convolution Network for NLP

Doc Han Att ⭐ 193

Hierarchical Attention Networks for Chinese Sentiment Classification

Neat Vision ⭐ 175

Neat (Neural Attention) Vision, is a visualization tool for the attention mechanisms of deep-learning models for Natural Language Processing (NLP) tasks. (framework-agnostic)

Multihead Siamese Nets ⭐ 173

Implementation of Siamese Neural Networks built upon multihead attention mechanism for text semantic similarity task.

Datastories Semeval2017 Task4 ⭐ 171

Deep-learning model presented in "DataStories at SemEval-2017 Task 4: Deep LSTM with Attention for Message-level and Topic-based Sentiment Analysis".

Tldr Transformers ⭐ 163

The "tl;dr" on a few notable transformer papers.

Awesome Nlp Resources ⭐ 157

This repository contains landmark research papers in Natural Language Processing that came out in this century.

Fastpunct ⭐ 152

Punctuation restoration and spell correction experiments.

Hierarchical Attention Network ⭐ 117

Implementation of Hierarchical Attention Networks in PyTorch

Abstractive Summarization ⭐ 113

Implementation of abstractive summarization using LSTM in the encoder-decoder architecture with local attention.

Sa Papers ⭐ 108

📄 Deep Learning 中 Sentiment Analysis 論文統整與分析 😀😡☹️😭🙄🤢

Bertqa Attention On Steroids ⭐ 105

BertQA - Attention on Steroids

Weibosentiment ⭐ 104

基于各种机器学习和深度学习的中文微博情感分析

Neural Question Generation ⭐ 103

Pytorch implementation of Paragraph-level Neural Question Generation with Maxout Pointer and Gated Self-attention Networks

Pytorch Question Answering ⭐ 102

Important paper implementations for Question Answering using PyTorch

Tensorflow Font2char2word2sent2doc ⭐ 98

TensorFlow implementation of Hierarchical Attention Networks for Document Classification and some extension

Hierarchical Sentiment ⭐ 96

Hierarchical Models for Sentiment Analysis in Pytorch

100 Days Of Nlp ⭐ 83

Neural Vqa Attention ⭐ 81

❓ Attention-based Visual Question Answering in Torch

Intra Bag And Inter Bag Attentions ⭐ 80

Code for NAACL 2019 paper: Distant Supervision Relation Extraction with Intra-Bag and Inter-Bag Attentions

Deeplearningreading ⭐ 78

Deep Learning and Machine Learning mini-projects. Current Project: Deepmind Attentive Reader (rc-data)

An Unofficial Pytorch Implementation of Multi-Granularity Hierarchical Attention Fusion Networks for Reading Comprehension and Question Answering

Interpretablenlp ⭐ 70

A list of publications on NLP interpretability (Welcome PR)

Cs224n_project ⭐ 65

Neural Image Captioning in TensorFlow.

Relation Extraction Transformer ⭐ 64

NLP: Relation extraction with position-aware self-attention transformer

SciFive: a text-text transformer model for biomedical literature

pretrained BERT model for cyber security text, learned CyberSecurity Knowledge

Rc Experiments ⭐ 61

Reading Comprehension Experiments repository.

Keras Utility Layer Collection ⭐ 59

Collection of custom layers and utility functions for Keras which are missing in the main framework.

A deep learning library based on Pytorch focussed on low resource language research and robustness

flask+seq2seq【TensorFlow1.0, Pytorch】 🎨 🎨 在线聊天机器人 https://mp.weixin.qq.com/s/VpiAmVSTin3ALA8MnzhCJA 或 https://ask.hellobi.com/blog/python_shequ/14486

How To Train Your Neural Net ⭐ 55

Deep learning research implemented on notebooks using PyTorch.

Text Classification Keras ⭐ 50

📚 Text Classification Library with Keras

Abae Pytorch ⭐ 49

PyTorch implementation of 'An Unsupervised Neural Attention Model for Aspect Extraction' by He et al. ACL2017'

Transformerx ⭐ 49

Flexible Python library providing building blocks (layers) for reproducible Transformers research (Tensorflow ✅, Pytorch 🔜, and Jax 🔜)

Text Classification Pytorch ⭐ 47

Implementation of papers for text classification task on SST-1/SST-2

Protein Localization ⭐ 43

Using Transformer protein embeddings with a linear attention mechanism to make SOTA de-novo predictions for the subcellular location of proteins 🔬

Attention_is_all_you_need ⭐ 41

Rbertviz ⭐ 40

Visualization tools to use with RBERT

Entailment Neural Attention Lstm Tf ⭐ 40

(arXiv:1509.06664) Reasoning about Entailment with Neural Attention.

Atec Nlp ⭐ 40

蚂蚁金服比赛 15th/2632

Tensorflow Chatbot Chinese ⭐ 39

網頁聊天機器人 | tensorflow implementation of seq2seq model with bahdanau attention and Word2Vec pretrained embedding

Convolutional Vqa ⭐ 38

Reading_comprehension_tf ⭐ 36

Machine Reading Comprehension in Tensorflow

Nmt Attention Tf2 ⭐ 36

👫 Effective Approaches to Attention-based Neural Machine Translation implemented as Tensorflow 2.0

Nlp_toolkit ⭐ 32

Basic NLP Toolkits include text classification, sequence labeling etc.

Snowselect ⭐ 32

Visual Question Answering ⭐ 32

CNN+LSTM, Attention based, and MUTAN-based models for Visual Question Answering

Code associated with the paper "Entropy-based Attention Regularization Frees Unintended Bias Mitigation from Lists"

Nlp Experiments In Pytorch ⭐ 31

PyTorch repository for text categorization and NER experiments in Turkish and English.

Text Classification ⭐ 31

PyTorch implementation of some text classification models (HAN, fastText, BiLSTM-Attention, TextCNN, Transformer) | 文本分类

Han Pytorch ⭐ 31

(Deprecated) Hierarchical Attention Networks for Document Classification (https://www.cs.cmu.edu/~diyiy/docs/naacl16.pdf) - in Pytorch

Understandingnlp ⭐ 29

Natural Language Processing Analysis

Cs224n Win2223 ⭐ 27

Code and written solutions of the assignments of the Stanford CS224N: Natural Language Processing with Deep Learning course from winter 2022/2023

Seq2seq_temporal_attention ⭐ 26

Generating Video Description using Sequence-to-sequence Model with Temporal Attention

Bert_attn_viz ⭐ 25

Visualize BERT's self-attention layers on text classification tasks

Show Attend And Tell Keras ⭐ 25

Keras implementation of the "Show, Attend and Tell" paper

Pytorch_neural_machine_translation_attention ⭐ 24

Neural Machine Translation with Attention (PyTorch)

Nlp_learn ⭐ 24

NLP学习笔记-前沿追踪

Pban Pytorch ⭐ 24

A Position-aware Bidirectional Attention Network for Aspect-level Sentiment Analysis, PyTorch implementation.

Extremely easy to use sequence to sequence library with attention, for text to text conversion tasks.

Structured Self Attentive Sentence Embedding ⭐ 23

Re-Implementation of "A Structured Self-Attentive Sentence Embedding" by Lin et al., 2017

Awesome Deep Nlp ⭐ 22

Awesome deep learning based NLP papers and survey, also some awesome machine learning/vision material

Transformer ⭐ 22

A PyTorch Implementation of "Attention Is All You Need"

Hierarchical Attention Network ⭐ 21

Hierarchical Attention Network for Sentiment Analysis

我对看过的以及用过的一些nlp方面的神经网络的结构介绍

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