MTEB: Massive Text Embedding Benchmark

[ACL 2023] One Embedder, Any Task: Instruction-Finetuned Text Embeddings

SGPT: GPT Sentence Embeddings for Semantic Search

Generative Representational Instruction Tuning

Train and Infer Powerful Sentence Embeddings with AnglE | 🔥 SOTA on STS and MTEB Leaderboard

Codebase for RetroMAE and beyond.

Code & data accompanying the KDD 2017 paper "KATE: K-Competitive Autoencoder for Text"

Efficient LLM inference on Slurm clusters using vLLM.

Go module for fetching embeddings from embeddings providers

a vector embedding database with multiple storage engines and AI embedding integrations

Simple customizable evaluation for text retrieval performance of Sentence Transformers embedders on PDFs

Simple script to compute CLIP-based scores given a DALL-e trained model.

A text embedding viewer for the Jupyter environment

Official codebase for the ACL 2025 Findings paper: Optimized Text Embedding Models and Benchmarks for Amharic Passage Retrieval.

HSTU-BLaIR: Lightweight Contrastive Text Embedding for Generative Recommender 🌱

Perform topic classification on news articles in several limited-labeled data regimes.

Code for embedding and retrieval research.

StickerSelector 是一个基于语义向量匹配的表情包选择系统，用于让 AI 在聊天中发送真正符合语境的表情包。 与传统依赖关键词或规则的方案不同，StickerSelector 会将 AI 生成的“表情包意图描述”与本地表情包进行语义匹配，从而选出在当前语境下最自然、最像真人会使用的表情。 适用于 AI 聊天机器人、QQ或微信的自动聊天、AI 女友等需要“拟人化表达”的场景。

🧠 ML-Article-Classifier is a modular Python project for classifying articles using advanced NLP techniques. It features sentence embeddings, clustering, and classification utilities, with Jupyter notebook demos, extensible helper functions, and best practices for research and production use.

SERVER: Multi-modal Speech Emotion Recognition using Transformer-based and Vision-based Embeddings