469 Open source projects that are alternatives of or similar to ERNIE-text-classification-pytorch

This repo contains a PyTorch implementation of a pretrained BERT model for text classification.

Pytorch-NLU，一个中文文本分类、序列标注工具包，支持中文长文本、短文本的多类、多标签分类任务，支持中文命名实体识别、词性标注、分词等序列标注任务。 Ptorch NLU, a Chinese text classification and sequence annotation toolkit, supports multi class and multi label classification tasks of Chinese long text and short text, and supports sequence annotation tasks such as Chinese named entity recognition, part of speech ta…

finetune bert for small dataset text classification in a few-shot learning manner using ProtoNet

Building a model to recognize incentives for landscape restoration in environmental policies from Latin America, the US and India. Bringing NLP to the world of policy analysis through an extensible framework that includes scraping, preprocessing, active learning and text analysis pipelines.

Text Classification in Turkish Texts with Bert

AiSpace: Better practices for deep learning model development and deployment For Tensorflow 2.0

Open-source benchmark datasets and pretrained transformer models in the Filipino language.

基于tensorflow1.x的预训练模型调用，支持单机多卡、梯度累积，XLA加速，混合精度。可灵活训练、验证、预测。

A PyTorch-based toolkit for natural language processing

All NLP you Need Here. 个人实现了一些好玩的NLP demo，目前包含13个NLP应用的pytorch实现

Enhancing the BERT training with Semi-supervised Generative Adversarial Networks in Pytorch/HuggingFace

[ACM-WSDM] 3rd place solution at WSDM Cup 2019, Fake News Classification on Kaggle.

The code for our paper "NSP-BERT: A Prompt-based Zero-Shot Learner Through an Original Pre-training Task —— Next Sentence Prediction"

大规模中文自然语言处理语料 Large Scale Chinese Corpus for NLP

BERT, LDA, and TFIDF based keyword extraction in Python

Weakly supervised medical named entity classification

CLUE baseline pytorch CLUE的pytorch版本基线

multi-label，classifier，text classification，多标签文本分类，文本分类，BERT，ALBERT，multi-label-classification

Multi-class text categorization using state-of-the-art pre-trained contextualized language models, e.g. BERT

Official implementations for various pre-training models of ERNIE-family, covering topics of Language Understanding & Generation, Multimodal Understanding & Generation, and beyond.

Backprop makes it simple to use, finetune, and deploy state-of-the-art ML models.

Rank 1 / 216

multi-label，classifier，text classification，多标签文本分类，文本分类，BERT，ALBERT，multi-label-classification，seq2seq，attention，beam search

Text preprocessing, representation, similarity calculation, text search and classification. Let's go and play with text!

State of the Art Natural Language Processing

Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-classification, includes Word2Vec, BERT, and GPT2 Language Embedding.

Sentence transformers models for SpaCy

用tf实现各种文本分类模型，并且封装restful接口，可以直接工程化

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

基于bert4keras的GLUE基准代码

Powerful unsupervised domain adaptation method for dense retrieval. Requires only unlabeled corpus and yields massive improvement: "GPL: Generative Pseudo Labeling for Unsupervised Domain Adaptation of Dense Retrieval" https://arxiv.org/abs/2112.07577

Some Cool NLP and CV Repositories and Solutions （收集NLP中常见任务的开源解决方案、数据集、工具、学习资料等）

A text analytics library with support for codemixed data

all kinds of baseline models for long text classificaiton( text categorization)

Machine Learning and NLP: Text Classification using python, scikit-learn and NLTK

Chinese NLP Data Augmentation， BERT Contextual Augmentation

A BERT-based reverse dictionary of Korean proverbs

Fine-grained Sentiment Classification Using BERT

Hierarchical Attention Networks for document classification

CNN for Chinese Text Classification in Tensorflow

Language Modeling and Text Classification in Malayalam Language using ULMFiT

TextCNN Pytorch实现 中文文本分类 情感分析

NLP for human. A fast and easy-to-use natural language processing (NLP) toolkit, satisfying your imagination about NLP.

📖 Use Bi-normal Separation to find document vectors which is used to compute similarity for shorter sentences.

A Robustly Optimized BERT Pretraining Approach for Vietnamese

Based on the Pytorch-Transformers library by HuggingFace. To be used as a starting point for employing Transformer models in text classification tasks. Contains code to easily train BERT, XLNet, RoBERTa, and XLM models for text classification.

Accelerated deep learning R&D

NLP tutorial

NLP Core Library and Model Zoo based on PaddlePaddle 2.0

Code and source for paper ``How to Fine-Tune BERT for Text Classification?``

SImple SenTence EmbeddeR

[ACL-WS] 4th place solution to gendered pronoun resolution challenge on Kaggle

A Sentence Cloze Dataset for Chinese Machine Reading Comprehension (CMRC 2019)

NLP with NLTK for Sentiment analysis amazon Products Reviews

A library that incorporates state-of-the-art explainers for text-based machine learning models and visualizes the result with a built-in dashboard.

Text Classification through CNN, RNN & HAN using Keras

Implementation of "Trade the Event: Corporate Events Detection for News-Based Event-Driven Trading." In Findings of ACL2021

BAND：BERT Application aNd Deployment，Simple and efficient BERT model training and deployment, 简单高效的 BERT 模型训练和部署

Text Classification by Convolutional Neural Network in Keras

OpenUE是一个轻量级知识图谱抽取工具 (An Open Toolkit for Universal Extraction from Text published at EMNLP2020: https://aclanthology.org/2020.emnlp-demos.1.pdf)