embedding

100+ Chinese Word Vectors 上百种预训练中文词向量

👑 Easy-to-use and powerful NLP library with 🤗 Awesome model zoo, supporting wide-range of NLP tasks from research to industrial applications, including 🗂Text Classification, 🔍 Neural Search, ❓ Question Answering, ℹ️ Information Extraction, 📄 Document Intelligence, 💌 Sentiment Analysis and 🖼 Diffusion AIGC system etc.

Siamese and triplet networks with online pair/triplet mining in PyTorch

A curated list of community detection research papers with implementations.

Documents, papers and codes related to Natural Language Processing, including Topic Model, Word Embedding, Named Entity Recognition, Text Classificatin, Text Generation, Text Similarity, Machine Translation)，etc. All codes are implemented intensorflow 2.0.

Extensible, parallel implementations of t-SNE

Four word embedding models implemented in Python. Supporting arbitrary context features

Embedding, NMT, Text_Classification, Text_Generation, NER etc.

Minimum-distortion embedding with PyTorch

Angular penalty loss functions in Pytorch (ArcFace, SphereFace, Additive Margin, CosFace)

An easy to use Neural Search Engine. Index latent vectors along with JSON metadata and do efficient k-NN search.

OpenL3: Open-source deep audio and image embeddings

Macadam是一个以Tensorflow(Keras)和bert4keras为基础，专注于文本分类、序列标注和关系抽取的自然语言处理工具包。支持RANDOM、WORD2VEC、FASTTEXT、BERT、ALBERT、ROBERTA、NEZHA、XLNET、ELECTRA、GPT-2等EMBEDDING嵌入; 支持FineTune、FastText、TextCNN、CharCNN、BiRNN、RCNN、DCNN、CRNN、DeepMoji、SelfAttention、HAN、Capsule等文本分类算法; 支持CRF、Bi-LSTM-CRF、CNN-LSTM、DGCNN、Bi-LSTM-LAN、Lattice-LSTM-Batch、MRC等序列标注算法。

The TensorFlow reference implementation of 'GEMSEC: Graph Embedding with Self Clustering' (ASONAM 2019).

Multi-Hop Logical Reasoning in Knowledge Graphs

This repository contains the source code and data for reproducing results of Deep Continuous Clustering paper

A sparsity aware implementation of "Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection" (CIKM 2018).

One-Stop Solution to encode sentence to fixed length vectors from various embedding techniques

Go library for performing computations in word2vec binary models

A scalable implementation of "Learning Structural Node Embeddings Via Diffusion Wavelets (KDD 2018)".