Learning embeddings for classification, retrieval and ranking.
翻译 - 学习嵌入以进行分类，检索和排名。
Embedded Learning Library
翻译 - 嵌入式学习库
Semi-supervised learning with graph embeddings
#自然语言处理#[EMNLP 2021] SimCSE: Simple Contrastive Learning of Sentence Embeddings https://arxiv.org/abs/2104.08821
翻译 - SimCSE：句子嵌入的简单对比学习
PyTorch implementation of the NIPS-17 paper "Poincaré Embeddings for Learning Hierarchical Representations"
Must-read papers on network representation learning (NRL) / network embedding (NE)
Embedded and mobile deep learning research resources
A collection of important graph embedding, classification and representation learning papers with implementations.
翻译 - 一系列重要的图形嵌入，分类和表示学习论文以及实现。
High performance, easy-to-use, and scalable package for learning large-scale knowledge graph embeddings.
Learning Compatible Embeddings, ICCV 2021
Learning Type-Aware Embeddings for Fashion Compatibility
Contrastive Code Representation Learning: functionality-based JavaScript embeddings through self-supervised learning
Parametric UMAP embeddings for representation and semisupervised learning. From the paper "Parametric UMAP: learning embeddings with deep neural networks for representation and semi-supervised learnin...
Paper Code Learning Powerful Graph Neural Network Embeddings With Aid Of Transfer Learning
ACL 2019: Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs
A scalable Gensim implementation of "Learning Role-based Graph Embeddings" (IJCAI 2018).
fBGD: Learning Embeddings From Positive Unlabeled Data with BGD
InferSent sentence embeddings
Source code for "Learning protein sequence embeddings using information from structure" - ICLR 2019
tensorflow port of the lda2vec model for unsupervised learning of document + topic + word embeddings
