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

unstract-adapters

Unstract's interface to LLMs, Embeddings and VectorDBs.

pykg2vec

A Python library for Knowledge Graph Embedding

gbiz-torch

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

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.

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.

simcat

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

dcss

Utilities for the book Doing Computational Social Science

cne-learn

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.

selfsne

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