#计算机科学#Text Classification Algorithms: A Survey
#自然语言处理#Pre-training of Deep Bidirectional Transformers for Language Understanding: pre-train TextCNN
#自然语言处理#Hierarchical Attention Networks for Document Classification in PyTorch
#计算机科学#PyTorch deep learning models for document classification
#自然语言处理#Document classification with Hierarchical Attention Networks in TensorFlow. WARNING: project is currently unmaintained, issues will probably not be addressed.
#自然语言处理#Hierarchical Attention Networks for document classification
#自然语言处理#A Python package implementing a new interpretable machine learning model for text classification (with visualization tools for Explainable AI )
#计算机科学#HDLTex: Hierarchical Deep Learning for Text Classification
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Hierarchical Attention Networks | a PyTorch Tutorial to Text Classification
This repository contains the official release of the model "BanglaBERT" and associated downstream finetuning code and datasets introduced in the paper titled "BanglaBERT: Language Model Pretraining an...
TextClf :基于Pytorch/Sklearn的文本分类框架,包括逻辑回归、SVM、TextCNN、TextRNN、TextRCNN、DRNN、DPCNN、Bert等多种模型,通过简单配置即可完成数据处理、模型训练、测试等过程。
#自然语言处理#PyTorch implementation of some text classification models (HAN, fastText, BiLSTM-Attention, TextCNN, Transformer) | 文本分类
#自然语言处理#Implementation of Hierarchical Attention Networks in PyTorch
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#自然语言处理#TensorFlow implementation of Hierarchical Attention Networks for Document Classification and some extension
TensorFlow implementation of the paper "Hierarchical Attention Networks for Document Classification"
MiniAiLive Intelligent ID OCR for Reliable Identity Verification From document verification to data entry, our MiniAiLive OCR solution can help transform your identity verification process.
MiniAiLive Intelligent ID OCR for Reliable Identity Verification From document verification to data entry, our MiniAiLive OCR solution can help transform your identity verification process.
Secure AI conversations with documents, video, audio, and more. Personal workspaces for focused context, group spaces for shared insight. Classify docs, reuse prompts, and extend with modular features...