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.

OpenL3: Open-source deep audio and image embeddings

Generative Representational Instruction Tuning

Implementations of Embedding-based methods for Knowledge Base Completion tasks

Image search engine

Word Embeddings for Information Retrieval

Plugin that creates a ChromaDB vector database to work with LM Studio running in server mode!

Neural Code Comprehension: A Learnable Representation of Code Semantics

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

Self-Supervised Noise Embeddings (Self-SNE)

tensorflow prediction using c++ api

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.

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.

Encoding position with the word embeddings.

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.

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

Generates a set of property-specific entity embeddings from knowledge graphs using node2vec

🐸 KERMIT - A lightweight library to encode and interpret Universal Syntactic Embeddings