A curated list of pretrained sentence and word embedding models

A curated list of awesome embedding models tutorials, projects and communities.

Python library for knowledge graph embedding and representation learning.

Generative Representational Instruction Tuning

OpenL3: Open-source deep audio and image embeddings

A minimalist yet highly performant, lightweight, lightning fast, multisource, multimodal and local Ingestion, Inference and Indexing solution, built in Rust.

Plugin that lets you ask questions about your documents including audio and video files.

This repository provides programs to build Retrieval Augmented Generation (RAG) code for Generative AI with LlamaIndex, Deep Lake, and Pinecone leveraging the power of OpenAI and Hugging Face models for generation and evaluation.

Implementations of Embedding-based methods for Knowledge Base Completion tasks

Image search engine

Word Embeddings for Information Retrieval

Neural Code Comprehension: A Learnable Representation of Code Semantics

Web-ify your word2vec: framework to serve distributional semantic models online

A client side vector search library that can embed, store, search, and cache vectors. Works on the browser and node. It outperforms OpenAI's text-embedding-ada-002 and is way faster than Pinecone and other VectorDBs.

Self-Supervised Noise Embeddings (Self-SNE)

tensorflow prediction using c++ api

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.

langchain-chat is an AI-driven Q&A system that leverages OpenAI's GPT-4 model and FAISS for efficient document indexing. It loads and splits documents from websites or PDFs, remembers conversations, and provides accurate, context-aware answers based on the indexed data. Easy to set up and extend.

Encoding position with the word embeddings.

A monolingual and cross-lingual meta-embedding generation and evaluation framework