100+ Chinese Word Vectors 上百种预训练中文词向量

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

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

OpenL3: Open-source deep audio and image embeddings

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

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

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

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

Go library for performing computations in word2vec binary models

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

EMNLP 2018: HyTE: Hyperplane-based Temporally aware Knowledge Graph Embedding

Reference implementation of Diffusion2Vec (Complenet 2018) built on Gensim and NetworkX.

A lightweight implementation of Walklets from "Don't Walk Skip! Online Learning of Multi-scale Network Embeddings" (ASONAM 2017).

Python Wrapper for t-SNE Visualization

PyTorch implementation of the Factorized TDNN (TDNN-F) from "Semi-Orthogonal Low-Rank Matrix Factorization for Deep Neural Networks" and Kaldi

A sparsity aware implementation of "Binarized Attributed Network Embedding" (ICDM 2018).

A sparsity aware and memory efficient implementation of "Attributed Social Network Embedding" (TKDE 2018).

PyTorch implementation of Deep Randomized Ensembles for Metric Learning(ECCV2018)

The reference implementation of "Multi-scale Attributed Node Embedding".

Implements the Tsetlin Machine, Convolutional Tsetlin Machine, Regression Tsetlin Machine, Weighted Tsetlin Machine, and Embedding Tsetlin Machine, with support for continuous features, multigranularity, and clause indexing

Embed arbitrary graphs in Hyperbolic space

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。

TensorFlow implementation of TransE and its extended models for Knowledge Representation Learning

Embedding, NMT, Text_Classification, Text_Generation, NER etc.

A word2vec port for Windows.

Position embedding layers in Keras