Embedding Models Python Packages

openl3

OpenL3: Open-source deep audio and image embeddings

gritlm

Generative Representational Instruction Tuning

cppe

C++ and Python library for Polarizable Embedding

chem-mrl

Chem-MRL: SMILES-based Matryoshka Representation Learning Embedding Model

mule-torch

Unofficial PyTorch port of MULE (SF-NFNet-F0), the music-audio embedding model.

pykg2vec

Python library for knowledge graph embedding and representation learning.

gbiz-torch

A comprehensive toolkit package designed to help you accurately predict key metrics in commercial area

unstract-adapters

Unstract interface for LLMs, Embeddings and VectorDBs

embedselection

This framework helps you automatically select the most suitable text embedding model for a given downstream use case.

docindex

⚡️Framework for fast persistent storage of multiple document embeddings and metadata into Pinecone for source-traceable, production-level RAG.

aisfx

Representation Learning for the Automatic Indexing of Sound Effects Libraries (ISMIR 2022): Deep audio embeddings pre-trained on UCS & Non-UCS-compliant datasets.

tinyquant-cpu

TinyQuant is a CPU-only vector quantization codec that compresses high-dimensional embedding vectors to low-bit representations while preserving cosine similarity rankings.

simcat

A Python package to simulate multi-agent cognitive association tasks using embedding spaces

dcss

Supplementary materials for McLevey 2021 Doing Computational Social Science (Sage, UK).

cne-learn

Contrastive neighbor embeddings (CNE) for dimensionality reduction and clustering

toucandb

ToucanDB - ML-first vector database for AI applications, LLM integration, and semantic search of unstructured data

torecsys

Pure PyTorch Recommender System Module

selfsne

Self-Supervised Noise Embeddings (Self-SNE) for dimensionality reduction and clustering