Showing 61-80 of 100 projects
A BERT model for scientific text, useful for natural language processing on research papers and scientific documents.
BERT-based utility library for generating sentence vectors and performing text classification
Collection of KQL queries for Advanced Hunting, Detection, and Threat Hunting in Azure Sentinel and Defender for Endpoint.
ModernBERT brings the BERT language model into the modern era with architecture changes and scaling.
PaddleSlim is an open-source library for deep model compression and architecture search.
A fast and user-friendly runtime for running transformer models like BERT, GPT-2, and others on CPU and GPU.
A comprehensive NLP toolkit for Chinese language processing, including chatbots, text similarity, classification, and more.
CLUENER2020 is a Chinese fine-grained named entity recognition dataset and benchmark for AI-powered NLP development.
A BERT-based knowledge graph question-answering system with online and offline modes.
A Python library that provides easy-to-use extractive text summarization using the BERT language model.
Pre-trained Chinese ELECTRA language model for natural language processing tasks.
An ongoing research project for training transformer language models at scale, including BERT and GPT-2.
Korean BERT pre-trained model for natural language processing tasks in the Korean language.
Use pre-trained transformer models like BERT, GPT-2, and XLNet in the spaCy NLP library.
A PyTorch implementation of a BERT-style pretraining method for convolutional networks, enabling more efficient self-supervised learning.
A library that helps developers train BERT-type language models with limited compute resources.
A distributed WebSocket application server for building real-time, event-driven applications.
An elegant PyTorch implementation of popular transformer models like BERT, GPT, and more for NLP tasks.
A collection of natural language processing (NLP) research papers with code implementations in TensorFlow and PyTorch.
A PyTorch implementation of BERT for sequence-to-sequence tasks, including text summarization, classification, and generation.
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