sentence-transformers

Top2Vec learns jointly embedded topic, document and word vectors.

Efficient few-shot learning with Sentence Transformers

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

An editing tool that uses AI to transcribe and semantically search transcripts, integrated with Davinci Resolve Studio.

Code for the NAACL 2022 long paper "DiffCSE: Difference-based Contrastive Learning for Sentence Embeddings"

MinT: Minimal Transformer Library and Tutorials

MTEB: Massive Text Embedding Benchmark

Making BERT stretchy. Semantic Elasticsearch with Sentence Transformers

Efficient Retrieval Augmentation and Generation Framework

This repository contains an easy and intuitive approach to few-shot classification using sentence-transformers or spaCy models, or zero-shot classification with Huggingface.

Sentence transformers models for SpaCy

sentence-transformers to onnx 让sbert模型推理效率更快

FAQ-based Question Answering System using BERT

Scripts and Approach for Amazon ML Challenge

Semantically Structured Sentence Embeddings

Search Git commits in natural language

This repository, called fast sentence transformers, contains code to run 5X faster sentence transformers using tools like quantization and ONNX.

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

Build Semantic Search with S-BERT and Fine-tune your model in unsupervised way

Semantic search across every YC company ever. Vibe check your idea?