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Search results for deep learning text classification
deep-learning
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text-classification
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139 search results found
Spacy
⭐
28,628
💫 Industrial-strength Natural Language Processing (NLP) in Python
Nlp Recipes
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6,321
Natural Language Processing Best Practices & Examples
Catalyst
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3,151
Accelerated deep learning R&D
Fastnlp
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2,940
fastNLP: A Modularized and Extensible NLP Framework. Currently still in incubation.
Easynlp
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1,871
EasyNLP: A Comprehensive and Easy-to-use NLP Toolkit
Text_classification
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1,621
Text Classification Algorithms: A Survey
Delta
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1,584
DELTA is a deep learning based natural language and speech processing platform.
Neuronblocks
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1,441
NLP DNN Toolkit - Building Your NLP DNN Models Like Playing Lego
Refinery
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1,257
The data scientist's open-source choice to scale, assess and maintain natural language data. Treat training data like a software artifact.
Text_gcn
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1,008
Graph Convolutional Networks for Text Classification. AAAI 2019
Chatgpt Comparison Detection
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921
Human ChatGPT Comparison Corpus (HC3), Detectors, and more! 🔥
Chatbot_cn
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850
基于金融-司法领域(兼有闲聊性质)的聊天机器人,其中的主要模块有信息抽取、NLU、NLG、知识图谱等
Lightnlp
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725
基于Pytorch和torchtext的自然语言处理深度学习框架。
Dataaug4nlp
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595
Collection of papers and resources for data augmentation for NLP.
Text Classification Pytorch
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538
Text classification using deep learning models in Pytorch
Small Text
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509
Active Learning for Text Classification in Python
Happy Transformer
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449
Happy Transformer makes it easy to fine-tune and perform inference with NLP Transformer models.
Bertwithpretrained
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428
An implementation of the BERT model and its related downstream tasks based on the PyTorch framework
Keras Text
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417
Text Classification Library in Keras
Rmdl
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409
RMDL: Random Multimodel Deep Learning for Classification
Clarifai Python
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384
Experience the power of Clarifai’s AI platform with the python SDK. 🌟 Star to support our work!
Text Classification Surveys
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380
文本分类资源汇总,包括深度学习文本分类模型,如SpanBERT、ALBERT、RoBerta、Xln 、Multi-Task、HAN、CharCNN、Tree-LSTM、DAN、TextRCNN、Par 、SVM、XGboost、Random Forest、C4.5、CART、KNN、NB、HMM等。介绍文本分类数据集,如MR、SST、MPQ
Delft
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379
a Deep Learning Framework for Text
Text Classification Models Pytorch
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309
Implementation of State-of-the-art Text Classification Models in Pytorch
Hdltex
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252
HDLTex: Hierarchical Deep Learning for Text Classification
Ml Projects
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243
ML based projects such as Spam Classification, Time Series Analysis, Text Classification using Random Forest, Deep Learning, Bayesian, Xgboost in Python
Cybertron
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235
Cybertron: the home planet of the Transformers in Go
Cnn Text Classification Tf Chinese
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235
CNN for Chinese Text Classification in Tensorflow
Text Classification
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219
Text Classification through CNN, RNN & HAN using Keras
Cnn Text Classification Keras
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204
Text Classification by Convolutional Neural Network in Keras
Hierarchical Attention Networks Pytorch
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171
Hierarchical Attention Networks for document classification
Fasttext.js
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169
FastText for Node.js
Retvec
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165
RETVec is an efficient, multilingual, and adversarially-robust text vectorizer.
Newsmtsc
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122
Target-dependent sentiment classification in news articles reporting on political events. Includes a high-quality data set of over 11k sentences and a state-of-the-art classification model.
Context
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116
ConText v4: Neural networks for text categorization
Deep_learning_in_python_2018
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114
Deep Learning workshop including image classification, face recognition, Object detection, language modelling, image captioning and neural machine translation.
Rnn Text Classification Tf
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112
Tensorflow Implementation of Recurrent Neural Network (Vanilla, LSTM, GRU) for Text Classification
Bdci2017 Minglue
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112
BDCI2017-让AI当法官,决赛第四(4/415)https://www.datafountai
Ask2transformers
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107
A Framework for Textual Entailment based Zero Shot text classification
Cnn Text Classification
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101
Text classification with Convolution Neural Networks on Yelp, IMDB & sentence polarity dataset v1.0
Dual Contrastive Learning
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95
Code for our paper "Dual Contrastive Learning: Text Classification via Label-Aware Data Augmentation"
Sentiment
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85
An example project using a feed-forward neural network for text sentiment classification trained with 25,000 movie reviews from the IMDB website.
Torchflare
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83
TorchFlare is a simple, beginner-friendly, and easy-to-use PyTorch Framework train your models effortlessly.
Densenet Nlp
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80
Tensorflow implementation of Very Deep Convolutional Networks for Natural Language Processing
Textfool
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79
Plausible looking adversarial examples for text classification
Nlp_in_action
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77
Do NLP tasks with some SOTA methods
Practical 3
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75
Oxford Deep NLP 2017 course - Practical 3: Text Classification with RNNs
Atec Nlp
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74
ATEC 金融大脑-金融智能NLP服务
Deep Atrous Cnn Sentiment
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63
Deep-Atrous-CNN-Text-Network: End-to-end word level model for sentiment analysis and other text classifications
Nlp Pretrained Model
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63
A collection of Natural language processing pre-trained models.
Imodelsx
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60
Scikit-learn friendly library to interpret, and prompt-engineer text datasets using large language models.
Capsule Pytorch
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59
A pytorch implementation of CapsNet for text classification 汽车行业用户观点主题及情感识别为例(subject-and-sentiment-analysis)
Very Deep Convolutional Networks For Natural Language Processing In Tensorflow
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54
implement the paper" Very Deep Convolutional Networks for Natural Language Processing"(https://arxiv.org/abs/1606.01781 ) in tensorflow
Sarcasm Detection
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52
Detecting Sarcasm on Twitter using both traditonal machine learning and deep learning techniques.
Transformers In Action
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51
This is the corresponding code for the book Transformers in Action
Text Classification Keras
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50
📚 Text Classification Library with Keras
Deep Learning
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48
Deep Learning Bootcamp
Character Level Cnn Pytorch
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47
Character-level CNN for text classification
Glami 1m
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47
The largest multilingual image-text classification dataset. It contains fashion products.
Stcka
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44
Reproducing the paper — Deep Short Text Classification with Knowledge Powered Attention
Spacy Wrap
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43
spaCy-wrap is a wrapper library for spaCy for including fine-tuned transformers from Huggingface in your spaCy pipeline allowing you to include existing fine-tuned models within your SpaCy workflow.
Textunderstandingtsetlinmachine
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42
Using the Tsetlin Machine to learn human-interpretable rules for high-accuracy text categorization with medical applications
Neweraai Papers
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42
The repository provides links to collections of influential and interesting research papers from top AI conferences, with open-source code to promote reproducibility and provide detailed implementation insights beyond the scope of the article. Stay up to date with the latest advances in AI research!
Nlp4cybersecurity
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40
NLP model and tech for cyber security tasks
Deep Learning With Python 2nd
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39
<케라스 창시자에게 배우는 딥러닝 2판> 도서의 코드 저장소
Text Similarity
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38
文本相似度(匹配)计算,提供Baseline、训练、推理、指标分析...代码包含TensorFlow
Overview And Benchmark Of Traditional And Deep Learning Models In Text Classification
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38
NLP tutorial
Alter Nlu
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37
Natural language understanding library for chatbots with intent recognition and entity extraction.
Text_and_audio_classification_with_bert
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37
Text Classification in Turkish Texts with Bert
Caver
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34
Caver: a toolkit for multilabel text classification.
Automatic Personality Prediction
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33
[AAAI 2020] Modeling Personality with Attentive Networks and Contextual Embeddings
Iprompt
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33
Finding semantically meaningful and accurate prompts.
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
Predict Subreddit
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32
NLP model that predicts subreddit based on the title of a post
Easy Deep Learning With Allennlp
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30
🔮Deep Learning for text made easy with AllenNLP
Very Deep Cnn Pytorch
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30
Very deep CNN for text classification
Cnn Question Classification Keras
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29
Chinese Question Classifier (Keras Implementation) on BQuLD
Aniemore
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28
Emotions recognition from audio and text files (only russian language)
Nlp Stuff
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27
A bit of everything about text and nlp [IN PROGRESS]
Bert_for_longer_texts
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25
BERT classification model for processing texts longer than 512 tokens. Text is first divided into smaller chunks and after feeding them to BERT, intermediate results are pooled. The implementation allows fine-tuning.
Character Level Cnn Tensorflow
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25
Character-level CNN for text classification
Ml You Can Use
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24
Practical ML and NLP with examples.
Structured Self Attentive Sentence Embedding
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23
Re-Implementation of "A Structured Self-Attentive Sentence Embedding" by Lin et al., 2017
Transfer Learning For Text Classification
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23
Textcategorization
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23
⚡ Using deep learning (MLP, CNN, Graph CNN) to classify text in TensorFlow.
Text_gcn_tutorial
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23
A tutorial & minimal example (8min on CPU) for Graph Convolutional Networks for Text Classification. AAAI 2019
Kg4zeroshottext
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22
Source code of the paper 'Integrating Semantic Knowledge to Tackle Zero-shot Text Classification. NAACL-HLT 2019. '
Mixup Text
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20
Exploring mixup strategies for text classification
Text Classification Transformers
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19
Easy text classification for everyone : Bert based models via Huggingface transformers (KR / EN)
Kaggle Project List
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18
Summary of my projects on kaggle
Deeplearning Course
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18
My exercises in the deep learning course
Concise Ipython Notebooks For Deep Learning
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17
Ipython Notebooks for solving problems like classification, segmentation, generation using latest Deep learning algorithms on different publicly available text and image data-sets.
Refinery Python Sdk
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17
Official Python SDK for Kern AI refinery.
Very Deep Cnn Tensorflow
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16
Very deep CNN for text classification
Keras Aquarium
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14
a small collection of models implemented in keras, including matrix factorization(recommendation system), topic modeling, text classification, etc. Runs on tensorflow.
Awesome Text Ml
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14
A curated list of ML awesome frameworks & libraries for text data
Kaggle_redefining_cancer_treatment
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14
Personalized Medicine: Redefining Cancer Treatment with deep learning
Nlpboost
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14
Python library for automatic training, optimization and comparison of Transformer models on most NLP tasks.
Multi Label Classification Of Pubmed Articles
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14
The traditional machine learning models give a lot of pain when we do not have sufficient labeled data for the specific task or domain we care about to train a reliable model. Transfer learning allows us to deal with these scenarios by leveraging the already existing labeled data of some related task or domain. We try to store this knowledge gained in solving the source task in the source domain and apply it to our problem of interest. In this work, I have utilized Transfer Learning utilizing
Cnn Text Classification Keras
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14
Convolutional Neural Network for Text Classification in Keras
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