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open_calais_ner

This small project fetches five articles from both The New York Times and the Wall Street Journal and analyzes the entities, topics, languages, relations, and etc. The tool I used is OpenCalais, which is a rapidly growing toolkit of capabilities that allow people to readily incorporate state-of-the-art semantic functionality within their blog, content management system, website or application. Google has pushed the state of the art in both NER and proposition extraction as part of their Knowledge Graph which extracts structured information from the entire web.

opengraph

A python module to parse the Open Graph Protocol

openie

Quality information extraction at web scale.

openie-standalone

Quality information extraction at web scale. Edit

openie_eval

Source code and other software components of a framework for comparative evaluation of Open Information Extraction systems.

openjere

openke_graph

An Open-Source Package for Knowledge Embedding (KE)

openne

An Open-Source Package for Network Embedding (NE)

opennlp

Mirror of Apache OpenNLP

openshift_kubeflow_workshop

Kubeflow on OpenShift

openvino-model-server

Inference model server implementation with Intel performance optimizations and TensorFlow Serving API

openwrt-fanqiang

最好的路由器翻墙、科学上网教程—OpenWrt—shadowsocks

openyoudao

openyoudao is a youdao client for linux.有道字典在Linux下的客户端，目前程序已经进入aur源，并支持Debian/Ubuntu fedora/centos 等常用发行版linux

opinion-reading-comprehension

DMN+ 模型的PyTorch 实现（中文数据集）

opinion_reader_bert

ai challenge mrc on bert

optranse

Representation Learning with Ordered Relation Paths for Knowledge Graph Completion (EMNLP 2019)

optunity

optimization routines for hyperparameter tuning

oqa

Open Question Answering

orientdb

OrientDB is the first Multi-Model DBMS with Document & Graph engine. OrientDB can run distributed (Multi-Master), supports SQL, ACID Transactions, Full-Text indexing, Reactive Queries and has a small memory footprint. OrientDB is licensed with Apache 2 license and the development is driven by OrientDB LTD and a worldwide Open Source community.

originfm

My implementation for the origin factorization machine

orion

This repository is the official implementation of Open Rule Induction. This paper has been accepted to NeurIPS 2021.

oryx

Oryx 2: Lambda architecture on Apache Spark, Apache Kafka for real-time large scale machine learning

oxlm

OxLM: Oxford Neural Language Modelling Toolkit

pach-kubeflow-gh-issues

End to end example of Pachyderm + KubeFlow for github issue summarization

paddle-pulse

pain-rbm

Analyze pain data using restricted boltzmann machine (theano)

paircnn-ranking

A tensorflow implementation of Learning to Rank Short Text Pairs with Convolutional Deep Neural Networks

pairwise-deep-qa

palladium

Framework for setting up predictive analytics services

pandas-cookbook

Recipes for using Python's pandas library