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anatanick's Projects

lda_bert icon lda_bert

Steam review texting embedding analysis

learn_python3_spider icon learn_python3_spider

python爬虫教程系列、从0到1学习python爬虫,包括浏览器抓包,手机APP抓包,如 fiddler、mitmproxy,各种爬虫涉及的模块的使用,如:requests、beautifulSoup、selenium、appium、scrapy等,以及IP代理,验证码识别,Mysql,MongoDB数据库的python使用,多线程多进程爬虫的使用,css 爬虫加密逆向破解,JS爬虫逆向,分布式爬虫,爬虫项目实战实例等

limes icon limes

Link Discovery Framework for Metric Spaces.

messytable icon messytable

MessyTable: Instance Association in Multiple Camera Views

metakgr icon metakgr

Source codes and datasets for EMNLP 2019 paper "Adapting Meta Knowledge Graph Information for Multi-Hop Reasoning over Few-Shot Relations"

mhgrn icon mhgrn

Scalable Multi-Hop Relational Reasoning for Knowledge-Aware Question Answering (EMNLP 2020)

mitie icon mitie

MITIE: library and tools for information extraction

mobilenet-ssd icon mobilenet-ssd

Caffe implementation of Google MobileNet SSD detection network, with pretrained weights on VOC0712 and mAP=0.727.

mockingbird icon mockingbird

🚀AI拟声: 5秒内克隆您的声音并生成任意语音内容 Clone a voice in 5 seconds to generate arbitrary speech in real-time

models icon models

Pre-trained and Reproduced Deep Learning Models (『飞桨』官方模型库,包含多种学术前沿和工业场景验证的深度学习模型)

multi-hop-nqg icon multi-hop-nqg

Asking Complex Questions with Multi-hop Answer-focused Reasoning

multigen icon multigen

EMNLP2020 - Language Generation with Multi-hop Reasoning on Commonsense Knowledge Graph

multihopkg icon multihopkg

Multi-hop knowledge graph reasoning learned via policy gradient with reward shaping and action dropout

multihopkg-1 icon multihopkg-1

Multi-hop knowledge graph reasoning learned via policy gradient with reward shaping and action dropout

mxnet-ssd icon mxnet-ssd

MXNet port of SSD: Single Shot MultiBox Object Detector. Reimplementation of https://github.com/weiliu89/caffe/tree/ssd

nemo icon nemo

NeMo: a toolkit for conversational AI

neural-snowball icon neural-snowball

Code and dataset of AAAI2020 Paper Neural Snowball for Few-Shot Relation Learning

newscatcher icon newscatcher

Programmatically collect normalized news from (almost) any website.

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