mims-harvard/decagon
quality grade D, 42 out of 100Graph convolutional neural network for multirelational link prediction
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Text and multimodal embedding models, rerankers and representation learning.
Signals: embeddings, sentence-embeddings, text-embeddings, sentence-transformers, reranking, representation-learning, contrastive-learning
71 results
Graph convolutional neural network for multirelational link prediction
memX: self-learning, self-maintaining memory plugin for AI agents; native support for claude code, codex, and openclaw
Creates an index of images, queries a local LLM and adds tags to the image metadata
Build Text Rerankers with Deep Language Models
Search the most relevant emojis given a natural language query
Luotuo Embedding(骆驼嵌入) is a text embedding model, which developed by 李鲁鲁, 冷子昂, 陈启源, 蒟蒻等.
An R package for creating and exploring word2vec and other word embedding models
Med-BERT, contextualized embedding model for structured EHR data
Knowledge Graph Toolkit
Awesome speech/audio LLMs, representation learning, and codec models
Things you can do with the token embeddings of an LLM
TensorFlow implementation of On the Sentence Embeddings from Pre-trained Language Models (EMNLP 2020)
Code for 'LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders'
Tensorflow implementation of contextualized word representations from bi-directional language models
The Clay Foundation Model - An open source AI model and interface for Earth
Open Source Semantic Search for your AI Agent
This is an implementation of the LexVec word embedding model (similar to word2vec and GloVe) that achieves state of the art results in multiple NLP tasks
Four word embedding models implemented in Python. Supporting arbitrary context features
Simple web service providing a word embedding model
Python library for knowledge graph embedding and representation learning.
No description
DScribe is a python package for creating machine learning descriptors for atomistic systems.
DeepWalk - Deep Learning for Graphs
推荐/广告/搜索领域工业界经典以及最前沿论文集合。A collection of industry classics and cutting-edge papers in the field of recommendation/advertising/search.
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