bert

Co-create PowerPoint slide decks with AI

Code & Data for "Tabular Transformers for Modeling Multivariate Time Series" (ICASSP, 2021)

PERT: Pre-training BERT with Permuted Language Model

中文文本分类、序列标注工具包（pytorch），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、抽取式文本摘要等序列标注任务。 Chinese text classification and sequence labeling toolkit, supports multi class and multi label classification, text similsrity, text summary and NER.

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

Cybertron: the home planet of the Transformers in Go

⛵️The official PyTorch implementation for "BERT-of-Theseus: Compressing BERT by Progressive Module Replacing" (EMNLP 2020).

An NLP system for generating reading comprehension questions

BOND: BERT-Assisted Open-Domain Name Entity Recognition with Distant Supervision

Annotations of the interesting ML papers I read

USING BERT FOR Attribute Extraction in KnowledgeGraph. fine-tuning and feature extraction. 使用基于bert的微调和特征提取方法来进行知识图谱百度百科人物词条属性抽取。

MinT: Minimal Transformer Library and Tutorials

Deep-Learning Model Exploration and Development for NLP

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

BERT-based AI-generated academic text detection model

【2023年版】BERTによるテキスト分類

💐Kaleido-BERT: Vision-Language Pre-training on Fashion Domain

Technical and sentiment analysis to predict the stock market with machine learning models based on historical time series data and news article sentiment collected using APIs and web scraping.

📁 This repository hosts a growing collection of AI blueprint projects that run end-to-end using Jupyter notebooks, MLflow deployments, and Streamlit web apps.🛠️ All projects are built using HP AI Studio with ❤️ If you find this useful, please don’t forget to star the repository ⭐ and support our work 🚀

Deploy BERT for Sentiment Analysis as REST API using FastAPI, Transformers by Hugging Face and PyTorch