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Search results for convolutional neural networks word2vec
convolutional-neural-networks
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word2vec
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17 search results found
Deeplearning
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7,463
深度学习入门教程, 优秀文章, Deep Learning Tutorial
Tensorflow Tutorials
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2,123
텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다
Cnn_sentence
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1,873
CNNs for sentence classification
Zh_cnn_text_classify
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333
基于CNN的中文文本分类算法(可应用于垃圾邮件过滤、情感分析等场景)
Personality Detection
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273
Implementation of a hierarchical CNN based model to detect Big Five personality traits
Deep Learning 101
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268
Deep Learning Tutorials
Abcnn
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252
Implementation of ABCNN(Attention-Based Convolutional Neural Network) on Tensorflow
Text Cnn
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198
嵌入Word2vec词向量的CNN中文文本分类
Hierarchical Attention Networks Pytorch
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171
Hierarchical Attention Networks for document classification
Text_rnn_attention
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102
嵌入Word2vec词向量的RNN+ATTENTION中文文本分类
Deep Learning For Beginners
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89
videos, lectures, blogs for Deep Learning
Nlp Interview Notes
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84
📚 专门为自然语言处理(NLP)面试准备的学习笔记与资料
Cw2vec
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75
基于字符训练词向量
2016ccf Sougou
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73
CCF2016 - TNT_000二等奖作品
Multi_text_classification
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49
Multi Text Classificaiton
Detectmaliciousurl
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48
Applying text model to Detection Task
Text Classification Pytorch
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47
Implementation of papers for text classification task on SST-1/SST-2
Fasttext Vs Word2vec On Twitter Data
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46
fasttextとword2vecの比較と、実行スクリプト、学習スクリプトです
Sentiment Analysis Of Tweets In Russian
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46
Sentiment analysis of tweets in Russian using Convolutional Neural Networks (CNN) with Word2Vec embeddings.
Nlp4kor
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45
Natural Language Processing for Korean with Deep Learning
Cnn_text_classification
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42
A PyTorch CNN for classifying the sentiment of movie reviews, based on the paper "Convolutional Neural Networks for Sentence Classification" by Yoon Kim (2014).
Neural Networks
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34
All about Neural Networks!
Text Classification Cn
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33
中文文本分类实践,基于搜狗新闻语料库,采用传统机器学习方法以及预训练模型等方法
Ml_playground
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31
Collection of machine learning projects
Chinese Text Classification With Cnn Tf
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30
中文文本分类(目前是二分类)
Cnn Question Classification Keras
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29
Chinese Question Classifier (Keras Implementation) on BQuLD
Image2text
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24
A deep learning project to tell a story with an image or a video.
Servenet
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24
Service Classification based on Service Description
Question Classification Cnn Rnn Attention
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24
针对百度知道电影问答数据的问题分类 question classification for zhidao.baidu.com in movie domain
Nre
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22
cnn lstm的关系识别 ,keras实现 网络结构简单.多分类
Sentimentanalysis
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21
(BOW, TF-IDF, Word2Vec, BERT) Word Embeddings + (SVM, Naive Bayes, Decision Tree, Random Forest) Base Classifiers + Pre-trained BERT on Tensorflow Hub + 1-D CNN and Bi-Directional LSTM on IMDB Movie Reviews Dataset
Chainer Notebooks
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21
Jupyter notebooks for Chainer hands-on
Learningspoons
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20
nlp lecture-notes and source code
Emotionrecognition
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16
Emotion Detection using CNN and LSTM
Dgcnn
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16
Dilation Gate CNN For Machine Reading Comprehension
Word2vec Cnn_shortad
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16
微信广告正负样本短文本分类 word2vec+CNN实现
Pydeeplearn
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15
pydeeplearn is a simple deep learning library written from scratch entirely in Python (CNN / RNN)
Sentiment Analysis Cnn
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13
Sentiment Analysis using Convolution Neural Networks(CNN) and Google News Word2Vec
Zero_shot_learning
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13
A Visual-semantic embedding model using word2vec and CNNs
Chinese News Classification Cnn Nlp Word2vec
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13
使用 CNN 进行中文 NLP 分类
Extractive Document Summarization
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13
Extractive Document Summarization Based on Convolutional Neural Networks
Cail Ccl 2019
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11
CAIL-CCL-2019相似案例匹配三等奖解决方案
Deeplearning Nlp Models
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11
A small, interpretable codebase containing the re-implementation of a few "deep" NLP models in PyTorch. Colab notebooks to run with GPUs. Models: word2vec, CNNs, transformer, gpt.
Sentence Classification
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11
Implementation of sentence classification using CNN, CNN-RNN, fasttext, etc.
Cnn_chinese_text_classification
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11
运用cnn + highway network网络结构中文文本分类
Deep Learning With Neural Networks
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11
This repo contains various use-cases of deep-learning implemented in Pytorch. It also contains summarized notes of each chapter from the book, 'Deep Learning' written by Ian Goodfellow.
Caltech Cs11 Tensorflow
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9
Repository for a TensorFlow class I taught at Caltech.
Deepexperiments
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9
TensorFlow/Keras experiments on computer vision and natural language processing
Russian_subtitles_dataset
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9
Preprocessing of the dataset of 347 subtitles for the TV series (thanks to Taiga Corpus) to build a word2vec model, JamSpell model, neural network training, chat bot training or in any other NLP task.
Sentence Selectionn
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9
Keras sentence classification
Nepali Ner
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8
Development/Deployment of NER in Nepali Language
Sentenceclassifier
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8
PyTorch Sentence Classifier (CNN RNN)
Deep Learning
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7
Implemented the deep learning techniques using Google Tensorflow that cover deep neural networks with a fully connected network using SGD and ReLUs; Regularization with a multi-layer neural network using ReLUs, L2-regularization, and dropout, to prevent overfitting; Convolutional Neural Networks (CNNs) with learning rate decay and dropout; and Recurrent Neural Networks (RNNs) for text and sequences with Long Short-Term Memory (LSTM) networks.
Twitter Stance Classification By Tensorflow
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7
Rumor_detection
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7
Deeplearning.ai Coursera
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7
This repository contains programming assignments and research paper refrenced in the deeplearning.ai specialization by Andrew-Ng on Coursera.
Deepdirtycodes
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7
Experimental and exercising codes
Bdci2017 360
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7
Dlbook
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7
Repository for the free online book Oddly Satisfying Deep Learning from Scratch (link below!)
Bsc.project
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6
sentiment analysis system for tweest about covid vaccine
Odnl
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6
object detection with natural language
Ik1701_fyp
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6
Stock Market Prediction with Social Media and News Data through a Deep Learning Model
Text_classification_study_wp
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6
Text_Classification_Study_Wp
Text Categorization Using Neural Word Embeddings
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5
This is a practical implementation implementing neural networks on top of fasttext as well as word2vec word embeddings.
Relation_extraction
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5
use cnn to extraction relation in chinese.
In Depth Question Classification Using Convolutional Neural Networks
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5
In this project, we develop a question classifier that used the UIUC's question classification data set to train a convolutional neutral network to classify among 50 classes. With our model, we were able to achieve results that are on par with the current methods on the primary categories, while for the secondary categories, our model outperformed the state-of-the-art results for this data set.
Cnntopic
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5
Using CNN for prediction of Emerging Hot Topic. Moreover, using word2vec and doc2vec for word embedding
Ai For Web Accessibility
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5
This is the GitHub repository for my Masters dissertation titled: Artificial Intelligence for Web Accessibility which I completed as a part of my MSc in Data Science course in the University of Southampton, UK under the supervision of Prof. Mike Wald
Mini Projects
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5
Deep Learning, NLP, Word Embeddings (Word2Vec, Doc2Vec)
Cqa Cnn
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5
A CNN architecture for Question Answering
Automatic Image Annotation
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5
cnn tags automatic-annotation keras image-annotation word2vec python
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