MTEB: Massive Text Embedding Benchmark

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

Generative Representational Instruction Tuning

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

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

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

TextReducer - A Tool for Summarization and Information Extraction

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

Using machine learning on your anki collection to enhance the scheduling via semantic clustering and semantic similarity

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

基于sentence-transformers实现文本转向量的机器人

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.

Heterogenous, Task- and Domain-Specific Benchmark for Unsupervised Sentence Embeddings used in the TSDAE paper: https://arxiv.org/abs/2104.06979.

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

Backend code for GitHub Recommendation Extension

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

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

emoji_finder

Match celebrity users with their respective tweets by making use of Semantic Textual Similarity on over 900+ celebrity users' 2.5 million+ scraped tweets utilizing SBERT, streamlit, tweepy and FastAPI