Search Packages

openl3

OpenL3: Open-source deep audio and image embeddings

gritlm

Generative Representational Instruction Tuning

cppe

C++ and Python library for Polarizable Embedding

unstract-adapters

Unstract interface for LLMs, Embeddings and VectorDBs

pykg2vec

Python library for knowledge graph embedding and representation learning.

chem-mrl

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

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.

docindex

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

gbiz-torch

general deep algorithm for business, marketing and advertisement

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 using embedding spaces

dcss

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

embedselection

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

selfsne

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

toucandb

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

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 a ecosystem to experiment, share, reproduce, and deploy in real world in a smooth and easy way.

cne-learn

Self-Supervised Noise Embeddings (Self-SNE)