hxsylzpf Goto Github PK

cmftest

Collective Matrix Factorization program (Python)

cnki_patent_svm

文本分类是指在给定分类体系下 , 根据文本的内容自动确定文本类别的过程。首先我们根据scrapy爬虫根据**知网URL的规律，爬取70多万条2014年公开的发明专利，然后通过数据清洗筛选出了60多万条含标签数据。通过TF-IDF对60多万条本文进行词频提取，依照词频排序提取前3000个词语形成语义词典，然后根据观察设置停用词。然后再用TF-IDF的方式对每个摘要进行词频选取，通过布尔模型，对比语义词典生成文本向量。然后对标签进行数字化转换。取90%的文本为训练集，10%的文本为测试集。用有监督学习的SVM算法对文本进行分类，（人类生活必需品、作业运输、化学冶金、纺织造纸、固定建筑物、机械工程、物理学、电学）分成8类

codes

编写的一些代码等

constrained_pmf

Constrained Probabilistic Matrix Factorization in Matlab

constraint_graphs

Repository for the data and associated notebook for the manuscript "Finding the optimal Bayesian network given a constraint graph."

contpl

ConTPL: Controlling Temporal Privacy Leakage in Streaming Data Release with Differential Privacy

crowd-ml

Framework for Crowd-sourced Machine Learning

cs231n-assignments

Assignments for Stanford's course CS231n: Convolutional Neural Networks for Visual Recognition

csp

Cell Service Provider

cv_class

七月算法 - 计算机视觉课程 课件

data-mining

Some algorithms to form frequent itemsets/association rules from datasets, where many techniques, such as FP-tree, Apriori, PSO, GA, Granular computing, Central limit theorem and so on, are applied

data-science-notes

数据科学的笔记以及资料搜集

data_mining_class_2017_june

七月算法6月数据挖掘班

dataminingalgorithm

数据挖掘18大算法实现以及其他相关经典DM算法

datasciencepython

common data analysis and machine learning tasks using python

dataspider

Spider cluster of several data source

dawid_skene

Implementation of the estimator for combining noisy observations from Dawid and Skene (1979)

dcgan_code

Deep Convolutional Generative Adversarial Networks

decentralized-differential-privacy-svm

Python version decentralized dp-SVM for [email protected]

deep-learning-21-examples

《21个项目玩转深度学习———基于TensorFlow的实践详解》配套代码

deepbeliefsdk

The SDK for Jetpac's iOS Deep Belief image recognition framework

deepctr

Easy-to-use,Modular and Extendible package of deep-learning based CTR models.

deeplearning_demo

some demo

deeplearningprivacy

deeplearntoolbox

Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.

deepst

Deep Learning for Spatio-Temporal Data

dfg

dfuzz

Linear Dependent Types for Differential Privacy TypeChecker

differential-privacy

differential-privacy-1

Personalized Differential Privacy-Smart Homes