Embedding Models Python Packages

embedflow

Zero downtime embedding upgrades

gritlm

Generative Representational Instruction Tuning

openl3

OpenL3: Open-source deep audio and image embeddings

cppe

C++ and Python library for Polarizable Embedding

unstract-adapters

Unstract's interface to LLMs, Embeddings and VectorDBs.

chem-mrl

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

pykg2vec

Python library for knowledge graph embedding and representation learning.

docindex

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

gbiz-torch

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

aisfx

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

simcat

A Python package to simulate multi-agent cognitive association tasks 🤖 🧠 👥

mule-torch

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

dcss

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

lexiredact

LexiRedact is a python framework middleware/proxy designed to prevent Personally Identifiable Information (PII/PHI) from being permanently stored inside vector databases used in Retrieval-Augmented Generation (RAG) systems.

skjalf

Skjalf is an image file browser with semantic search capabilities. Skjalf uses AI to understand the content of your images, allowing you to find exactly what you're looking for using natural language queries.

embedselection

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

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.

selfsne

Self-Supervised Noise Embeddings (Self-SNE)

toucandb

ToucanDB is a brand-new micro ML-first database engine 🦜

torecsys

ToR[e]cSys is a PyTorch Framework to implement recommendation system algorithms, including but not limited to click-through-rate (CTR) prediction, learning-to-ranking (LTR), and Matrix/Tensor Embedding. The project objective is to develop an ecosystem to experiment, share, reproduce, and deploy in real-world in a smooth and easy way.

cne-learn

Self-Supervised Noise Embeddings (Self-SNE)