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attention-mechanism x

natural-language-processing x

29 search results found

Ml Nlp ⭐ 10,874

此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。

Text_classification ⭐ 7,628

all kinds of text classification models and more with deep learning

Awesome Transformer Nlp ⭐ 1,022

A curated list of NLP resources focused on Transformer networks, attention mechanism, GPT, BERT, ChatGPT, LLMs, and transfer learning.

Pointer_summarizer ⭐ 859

pytorch implementation of "Get To The Point: Summarization with Pointer-Generator Networks"

Keras Attention ⭐ 656

Visualizing RNNs using the attention mechanism

Deeplearning.ai Natural Language Processing Specialization ⭐ 523

This repository contains my full work and notes on Coursera's NLP Specialization (Natural Language Processing) taught by the instructor Younes Bensouda Mourri and Łukasz Kaiser offered by deeplearning.ai

Paperrobot ⭐ 384

Code for PaperRobot: Incremental Draft Generation of Scientific Ideas

Attention Mechanisms ⭐ 294

Implementations for a family of attention mechanisms, suitable for all kinds of natural language processing tasks and compatible with TensorFlow 2.0 and Keras.

Exploring attention weights in transformer-based models with linguistic knowledge.

Multimodal Sentiment Analysis ⭐ 205

Attention-based multimodal fusion for sentiment analysis

Pycontinual ⭐ 185

PyContinual (An Easy and Extendible Framework for Continual Learning)

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".

Chinese Text Classification Pytorch ⭐ 156

中文文本分类任务，基于PyTorch实现（TextCNN，TextRNN，FastText，Text DPCNN, Transformer，Bert，ERNIE），开箱即用！

Nlp De Cero A Cien ⭐ 135

Curso práctico: NLP de cero a cien 🤗

Abstractive Summarization ⭐ 113

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

Pytorch Question Answering ⭐ 102

Important paper implementations for Question Answering using PyTorch

Simplednn ⭐ 95

SimpleDNN is a machine learning lightweight open-source library written in Kotlin designed to support relevant neural network architectures in natural language processing tasks

100 Days Of Nlp ⭐ 83

Writing Editing Network ⭐ 72

Code for Paper Abstract Writing through Editing Mechanism

Cs224n_project ⭐ 65

Neural Image Captioning in TensorFlow.

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

Comparemodels_trecqa ⭐ 55

Compare six baseline deep learning models on TrecQA

Attention Viz ⭐ 49

Visualizing query-key interactions in language + vision transformers

Transformerx ⭐ 49

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

Video Cap ⭐ 44

🎬 Video Captioning: ICCV '15 paper implementation

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

TrAVis: Visualise BERT attention in-browser

Multilingual_nmt ⭐ 36

Experiments on Multilingual NMT

Sentiment Analysis with Deep Learning models. Implemented with Tensorflow and Keras.

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

Im2latex ⭐ 29

Tensorflow Implementation of Im2Latex

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)

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

Sentimentanalysis ⭐ 22

Sentiment Analysis: Deep Bi-LSTM+attention model

Datastories Semeval2017 Task6 ⭐ 19

Deep-learning model presented in "DataStories at SemEval-2017 Task 6: Siamese LSTM with Attention for Humorous Text Comparison".

Siamese Nn Semantic Text Similarity ⭐ 19

A repository containing comprehensive Neural Networks based PyTorch implementations for the semantic text similarity task, including architectures such as: Siamese LSTM Siamese BiLSTM with Attention Siamese Transformer Siamese BERT.

Visualization tool for interpreting NLP models

Vision2022 ⭐ 18

Slides of "Machine Vision" course by Zhejiang University Student Smart Factory Innovation Club 浙江大学学生智能工厂创新俱乐部《智能工厂软机器视觉教学》社团精品课程

Nlp Paper ⭐ 16

🎨 🎨NLP 自然语言处理教程 🎨🎨 https://dataxujing.github.io/NLP-paper/

Cvdd Pytorch ⭐ 14

A PyTorch implementation of Context Vector Data Description (CVDD), a method for Anomaly Detection on text.

Python package for the paper "Inductive Document Network Embedding with Topic-Word Attention" (https://arxiv.org/pdf/2001.03369.pdf)

Organic Chemistry Reaction Prediction Using Nmt ⭐ 13

organic chemistry reaction prediction using NMT with Attention

Seq2seq Chatbot ⭐ 13

Chatbot based Seq2Seq model with bidirectional rnn and attention mechanism with tensorflow, trained on Cornell Movie-Dialogs Corpus and deployed on a Flask Server

Ntua Slp Nlp ⭐ 13

💻Speech and Natural Language Processing (SLP & NLP) Lab Assignments for ECE NTUA

Attention ⭐ 12

一些不同的Attention机制代码

Pointer_generator_summarizer ⭐ 12

Pointer Generator Network: Seq2Seq with attention, pointing and coverage mechanism for abstractive summarization.

Semeval2022 Task6 Sarcasm Detection ⭐ 11

Sarcasm is a term that refers to the use of words to mock, irritate, or amuse someone. It is commonly used on social media. The metaphorical and creative nature of sarcasm presents a significant difficulty for sentiment analysis systems based on affective computing. The technique and results of our team, UTNLP, in the SemEval-2022 shared task 6 on sarcasm detection are presented in this paper.

Jax Models ⭐ 10

Explore implementations of deep learning concepts like Transformers, Attention, Llama, GPT, InstructGPT, RLHF, Gaussian Processes, Bayesian Inference, Newton Raphson, Distributed Trainers and more!

Artificial Text Detection ⭐ 10

Python framework for artificial text detection: NLP approaches to compare natural text against generated by neural networks.

Sglkt Visdial ⭐ 10

🌈 PyTorch Implementation for EMNLP'21 Findings "Reasoning Visual Dialog with Sparse Graph Learning and Knowledge Transfer"

Job Recommend Competition ⭐ 9

🥇KNOW기반 직업 추천 알고리즘 경진대회 1등 솔루션입니다🥇

Chatbot Tensorflow ⭐ 9

Attention Mechanism을 적용한 seq2seq 모델과 tensorflow로 제작한 chatbot 생성 튜토리얼입니다.

Logicguide ⭐ 8

Plug in and Play implementation of "Certified Reasoning with Language Models" that elevates model reasoning by 40%

A TensorFlow-compatible Python library that provides models and layers to implement custom Transformer neural networks. Built on TensorFlow 2.

Readingcomprehension ⭐ 7

Bi-Directional Attention Flow for Machine Comprehensions

Flashperceiver ⭐ 7

Fast and memory efficient PyTorch implementation of the Perceiver with FlashAttention.

A simple python package for question answering.

Dlnlp Papernotes ⭐ 6

Summaries and notes on Deep Learning research papers in natural language processing(NLP) domain.

Hierarchical Attention Network ⭐ 6

Implementation for "Hierarchical Attention Networks for Document Classification"

Deep Natural Language Processing ⭐ 5

Curated implementation notebooks and scripts of deep learning based natural language processing tasks and challenges in TensorFlow.

Image_captioning ⭐ 5

Генерация описаний к изображениям с помощью различных архитектур нейронных сетей

Tensorflow Chinese Document Classification ⭐ 5

The tensorflow implementation of Chinese document classification based on attention mechanism.

Hierarchical Language Modeling ⭐ 5

We address the task of learning contextualized word, sentence and document representations with a hierarchical language model by stacking Transformer-based encoders on a sentence level and subsequently on a document level and performing masked token prediction.

Code for the WWW '19 paper "Event Detection using Hierarchical Multi-Aspect Attention"

Korean_voice_phishing_detection ⭐ 5

All codes implemented on Korean voice phishing detection papers

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Natural Language Processing Chatbot (726)

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