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adversarially-learned-anomaly-detection

ALAD (Proceedings of IEEE ICDM 2018) official code

albert

ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

albert_zh

A LITE BERT FOR SELF-SUPERVISED LEARNING OF LANGUAGE REPRESENTATIONS, 海量中文预训练ALBERT模型

attention

some attention implements

bazel

a fast, scalable, multi-language and extensible build system

bert

TensorFlow code and pre-trained models for BERT

bert-as-service

Mapping a variable-length sentence to a fixed-length vector using BERT model

bert-bilstm-crf-ner

Tensorflow solution of NER task Using BiLSTM-CRF model with Google BERT Fine-tuning And private server services

bert-chinese-ner

使用预训练语言模型BERT做中文NER

bert-model-code-interpretation

解读tensorflow版本Bert中modeling.py数据流

bert_encode_server

bert/albert/roberta特征抽取服务端，基于bert-as-service，新增albert模型。

bilm-tf

Tensorflow implementation of contextualized word representations from bi-directional language models

china_area

2020年**全国5级行政区划（省、市、县、镇、村）

chinese-word-vectors

100+ Chinese Word Vectors 上百种预训练中文词向量

cnn-text-classification-tf

Convolutional Neural Network for Text Classification in Tensorflow

datax

elmo-chinese

Deep contextualized word representations 中文 汉语

embedding-as-service

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

facenet

Face recognition using Tensorflow

faiss

A library for efficient similarity search and clustering of dense vectors.

fastgcn

The sample codes for our ICLR18 paper "FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling""

fp-growth

Python implementation of the Frequent Pattern Growth algorithm

gan

Resources and Implementations of Generative Adversarial Nets: GAN, DCGAN, WGAN, CGAN, InfoGAN

gan-ad

We used generative adversarial networks (GANs) to do anomaly detection for time series data.

ganomaly

GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training

gcn

Implementation of Graph Convolutional Networks in TensorFlow

gem

glove

GloVe model for distributed word representation

graphsage

Representation learning on large graphs using stochastic graph convolutions.

huatu

draw graphs using python matplotlib