Pytorch❤️ Keras 😋😋

ICCV'2023: Holistic Label Correction for Noisy Multi-Label Classification

Some tips on paper writing skills.

A simple tool to update bib entries with their official information (e.g., DBLP or the ACL anthology).

Easy to use class balanced cross entropy and focal loss implementation for Pytorch

WideMLP for Text Classification

基于Pytorch的OCR工具库，支持常用的文字检测和识别算法

LightXML: Transformer with dynamic negative sampling for High-Performance Extreme Multi-label Text Classification

X-Transformer: Taming Pretrained Transformers for eXtreme Multi-label Text Classification

Code and data for EMNLP2019 Paper "Uncover the Ground-Truth Relations in Distant Supervision: A Neural Expectation-Maximization Framework" and journal paper "A Neural Expectation-Maximization Frame…

Implementation of topic models based on neural network approaches.

PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf

Implementation of BERT that could load official pre-trained models for feature extraction and prediction

Topic Modeling in Embedding Spaces

使用Bert，ERNIE，进行中文文本分类

Implementation of ICLR 21 paper: Probing BERT in Hyperbolic Spaces

Official implementation of AAAI-21 paper "Label Confusion Learning to Enhance Text Classification Models"

[ACL 2021] Code for our ACL 2021 paper "One2Set: Generating Diverse Keyphrases as a Set"

Text classification examples

BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)

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

PyTorch code for softmax variants: center loss, cosface loss, large-margin gaussian mixture, COCOLoss, ring loss

2021-2022 International Conferences in Artificial Intelligence, Machine Learning, Computer Vision, Data Mining, Natural Language Processing and Robotics

Source code of TMN (Topic Memory Network)

The code for "Does Head Label Help for Long-Tailed Multi-Label Text Classific"