embedding-models

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

Implementations of Embedding-based methods for Knowledge Base Completion tasks

Word Embeddings for Information Retrieval

Image search engine

Neural Code Comprehension: A Learnable Representation of Code Semantics

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

tensorflow prediction using c++ api

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

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.

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

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

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

Learning node representation using edge semantics

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