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.

bert-model 开源项目推荐(1,481 个)
bert-model 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 1,481 个仓库[CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.
经过训练的模型和代码来预测所有3个拼图有毒评论挑战的有毒评论。使用SYS Pytorch Lightning和SYSTransformers构建。如需访问我们的API,请发送电子邮件至[email protected]。
Entity and Relation Extraction Based on TensorFlow and BERT. 基于TensorFlow和BERT的管道式实体及关系抽取,2019语言与智能技术竞赛信息抽取任务解决方案。Schema based Knowledge Extraction, SKE 2019
This series will take you on a journey from the fundamentals of NLP and Computer Vision to the cutting edge of Vision-Language Models.
面向语言理解的深度双向 Transformer 预训练:预训练 TextCNN
Portuguese pre-trained BERT models
Adan: Adaptive Nesterov Momentum Algorithm for Faster Optimizing Deep Models
BlueBERT, pre-trained on PubMed abstracts and clinical notes (MIMIC-III).
A Model for Natural Language Attack on Text Classification and Inference
BETO - Spanish version of the BERT model
🤗 Pretrained BERT model & WordPiece tokenizer trained on Korean Comments 한국어 댓글로 프리트레이닝한 BERT 모델과 데이터셋
Abstractive summarisation using Bert as encoder and Transformer Decoder
BERT-NER (nert-bert) with google bert https://github.com/google-research.
End-to-End recipes for pre-training and fine-tuning BERT using Azure Machine Learning Service
基于神经网络的通用股票预测模型 一种基于神经网络的通用股票预测模型
Sentiment analysis neural network trained by fine-tuning BERT, ALBERT, or DistilBERT on the Stanford Sentiment Treebank.
Multiple-Relations-Extraction-Only-Look-Once. Just look at the sentence once and extract the multiple pairs of entities and their corresponding relations. 端到端联合多关系抽取模型,可用于 http://lic2019.ccf.org.cn/kg 信息抽取。
Semantics-aware BERT for Language Understanding (AAAI 2020)
Ner with Bert
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/bert-model。
- 该话题在 GitHub 上共有 1,481 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 1.6 万 Star,覆盖 2 种主要语言,数据更新于 2026-11-07。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。