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@luispedro
luispedro / readroi.py
Last active December 16, 2020 07:50
Read ImageJ's ROI files
# UPDATE IN 2020
# You almost always will want to use the version at
# https://github.com/luispedro/imread, which is
# up-to-date and works with Python 3
# Copyright: Luis Pedro Coelho <[email protected]>, 2012
@luw2007
luw2007 / 词性标记.md
Last active November 12, 2024 11:43
词性标记: 包含 ICTPOS3.0词性标记集、ICTCLAS 汉语词性标注集、jieba 字典中出现的词性、simhash 中可以忽略的部分词性

词的分类

  • 实词:名词、动词、形容词、状态词、区别词、数词、量词、代词
  • 虚词:副词、介词、连词、助词、拟声词、叹词。

ICTPOS3.0词性标记集

n 名词

nr 人名

@darren
darren / nlc.sh
Last active November 30, 2023 05:04
国家图书馆Wifi自动登录脚本
#!/usr/bin/env bash
USERNAME= #改成你的读者卡号
PASSWORD= #改成你的读者卡密码
LOGINURL="http://192.168.180.11:8080/nlcwlan/QueryGuest"
PASSWORD=$(echo $PASSWORD|base64)
UA="Mozilla/5.0 (compatible; MSIE 10.0; Windows NT 6.1; WOW64; Trident/6.0)"
@macks22
macks22 / pmf-and-modified-bpmf-pymc.py
Last active May 13, 2021 13:37
Probabilistic Matrix Factorization (PMF) + Modified Bayesian BMF
"""
Implementations of:
Probabilistic Matrix Factorization (PMF) [1],
Bayesian PMF (BPMF) [2],
Modified BPFM (mBPMF)
using `pymc3`. mBPMF is, to my knowledge, my own creation. It is an attempt
to circumvent the limitations of `pymc3` w/regards to the Wishart distribution:
@macromaniac
macromaniac / regression.py
Created September 17, 2016 18:47
simple linear regression example using keras
import numpy as np
from keras.layers import Dense, Input
from keras.models import Model
x = Input((1,))
y = Dense(1, activation ='linear')(x)
m = Model(x,y)
m.compile(loss = 'mse', optimizer='sgd')
_x = np.linspace(1,2, num = 1e3)
@pwl
pwl / probabilistic_pca.ipynb
Created March 3, 2017 12:07
Probabilistic PCA with ARD
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