squirrel1982 Goto Github PK

annotated-transformer

http://nlp.seas.harvard.edu/2018/04/03/attention.html

api_ner

API for Tensorflow model in Flask

awesome-patent-mining.github.io

bayesian-belief-networks

Pythonic Bayesian Belief Network Package, supporting creation of and exact inference on Bayesian Belief Networks specified as pure python functions.

cnn-re-tf

Convolutional Neural Network for Multi-label Multi-instance Relation Extraction in Tensorflow

cnn-relationextraction

Convolution neural network for relation extraction between two given entities

crf

Simple implementation of Conditional Random Fields (CRF) in Python

crfasrnn_keras

CRF-RNN Keras/Tensorflow version

densitypeakcluster

A cluster framework for 'Clustering by fast search and find of density peaks' in science 2014.

dureader

Baseline Systems of DuReader Dataset

el-2019-baseline

2019年百度的实体链指比赛（ccks2019），一个baseline

elasticsearch-dsl-py

High level Python client for Elasticsearch

elasticsearch-learning-to-rank

Plugin to integrate Learning to Rank (aka machine learning for better relevance) with Elasticsearch

elasticsearch-py

Official Python low-level client for Elasticsearch

experiments_with_python

experiments with python

fewrel

A Large-Scale Few-Shot Relation Extraction Dataset

gcn

Implementation of Graph Convolutional Networks in TensorFlow

graph-based-nn

Graph Convolutional Networks (GCNs)

hello-ltr

Set of Jupyter notebooks demonstrating Learning to Rank integrated with Solr and Elasticsearch

hydejack-starter-kit

A quicker, cleaner way to get started blogging with Hydejack.

information-extraction-chinese

Chinese Named Entity Recognition with IDCNN/biLSTM+CRF, and Relation Extraction with biGRU+2ATT 中文实体识别与关系提取

irgan

IRGAN SIGIR paper experimental code

kb2e

Knowledge Graph Embeddings including TransE, TransH, TransR and PTransE

kg-2019

2019年百度的三元组抽取比赛，“科学空间队”源码

kg-2019-baseline

2019年百度的三元组抽取比赛，一个baseline

machine-learning-notes

My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (1000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(1000+页)和视频链接

mcmc

Implementation of Markov Chain Monte Carlo in Python from scratch

mrc2018

2018百度机器阅读理解技术竞赛

myipynb

neuroner

Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.