embedding-models topic

tensorflow prediction using c++ api

formath

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

ART-Group-it

Encoding position with the word embeddings.

kaushalshetty

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 Embeddin...

p768lwy3

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

D2KLab

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

ikergarcia1996

STransE: a novel embedding model of entities and relationships in knowledge bases (NAACL 2016)

datquocnguyen

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

alisonbma

PyTorch implementation of paper "Visual Concept-Metaconcept Learner", NeruIPS 2019

Glaciohound

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...

yusufhilmi