sbert

MTEB: State-of-the-art evaluation of embeddings across languages and modalities

A Heterogeneous Benchmark for Information Retrieval. Easy to use, evaluate your models across 15+ diverse IR datasets.

Build and train state-of-the-art natural language processing models using BERT

Generative Representational Instruction Tuning

Search with BERT vectors in Solr, Elasticsearch, OpenSearch and GSI APU

基于sentence transformers和chatglm实现的文档搜索工具

文本相似度，语义向量，文本向量，text-similarity，similarity, sentence-similarity，BERT，SimCSE，BERT-Whitening，Sentence-BERT, PromCSE, SBERT

Rust port of sentence-transformers (https://github.com/UKPLab/sentence-transformers)

An AI-driven vulnerability scanner that uses Nmap to discover open services on a user-supplied IP, matches each service to relevant CVEs via SBERT embeddings and a severity classifier, and generates tailored remediation steps using a fine-tuned T5 model.

KoBERTopic은 BERTopic을 한국어 데이터에 적용할 수 있도록 토크나이저와 BERT를 수정한 코드입니다.

Interactive tree-maps with SBERT & Hierarchical Clustering (HAC)

TextReducer - A Tool for Summarization and Information Extraction

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.

基于sentence-transformers实现文本转向量的机器人

Run sentence-transformers (SBERT) compatible models in Node.js or browser.

This project builds a semantic search engine specifically designed for video content. It utilizes SBERT, to understand the meaning behind user queries and videos. This allows users to search for specific information within videos, skipping irrelevant parts and saving them valuable time.

Classification pipeline based on sentenceTransformer and Facebook nearest-neighbor search library

A tool for performing semantic search within pdf documents leveraging sentence transformers.

CV Embed is an AI resume analyzer that matches candidates with job descriptions using SBERT/GloVe/Doc2Vec models. Calculates compatibility scores, suggests top job matches, and generates real opportunities. Supports PDF/DOCX uploads with Flask backend and Gemini AI integration.

Embedding Representation for Indonesian Sentences!