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置顶: (2010-10-31 11:17)
标签:

数据挖掘

it

分类: 数据挖掘

http://dmml.asu.edu/cdm/ 社交圈子发现
pandoc -f markdown+tex_math_dollars -t docx ./test.md -o test.docx --latex-engine=xelatex
https://labs.pinterest.com/projects/
https://github.com/thunlp  清华大学NLP
http://jamanetwork.com
https://github.com/davidsandberg/facenet
http://www.cancerimagingarchive.net 癌症图像数据集
The image data in The Cancer Imaging Archive (TCIA) is organized into purpose-built collections of subjects.
https://www.cs.cornell.edu/~cristian/Cornell_Movie-Dialogs_Corpus.html
https://blog.mindorks.com/android-tensorflow-machine-lear
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标签:

tensorflow-gpu

windows10

分类: 深度学习
1. 准备工作
1.1 安装python
目前支持python3.6,直接下载anaconda3,
Anaconda 4.4.0 For Windows python3.6 64位
https://www.continuum.io/downloads
下载完后,直接安装,在配置环境变量环节,选择需要配置环境变量
1.2 下载 visual studio community 2017安装VC编译环境
https://www.visualstudio.com/zh-hans/, 下载 visual studio community 2017
安装的时候,在工作负载的tab页面,选择使用c++的桌面开发
环境变量设置
在PATH环境变量添加
D:\Program Files (x86)\Microsoft Visual Studio\2017\Community\VC\Tools\MSVC\14.10.25017\bin\HostX64\x64
D:\Program Files (x86)\Microsoft Visual Studio\2017\Community\Common7\IDE
新建LIB环境变量
D:\Program Files (x86)\Microsoft Visual Studio\2017\Community\VC\Tools\MSVC\14.10.25017\lib\x64
新建INCLUDE环境变量
D:\Program Files (x86)\Microsoft Visual Studio\2017\Community\VC\Tools\MSVC\14.10.25017\include
1.3 cuda安装
下载cuda https://developer.nvidia.com/cuda-download
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标签:

keras

vgg

resnet

inception

分类: 深度学习
 keras vgg16 vgg19 resnet inception模型对比 

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标签:

rnn

lstm

分类: 深度学习
Chinese-Character-Recognition https://github.com/soloice/Chinese-Character-Recognition
ImageNet: VGGNet, ResNet, Inception, and Xception with Keras http://www.pyimagesearch.com/2017/03/20/imagenet-vggnet-resnet-inception-xception-keras/
tensorflow large scale input 处理 参考cifar10 代码 https://github.com/tensorflow/models/blob/master/tutorials/image/cifar10/cifar10_input.py
A Survey on Deep Learning in Medical Image Analysis https://arxiv.org/pdf/1702.05747.pdf
http://www.jeyzhang.com/understanding-lstm-network.html
Awesome Deep learning papers and other resources https://github.com/endymecy/awesome-deeplearning-resources
Multi-Scale Convolutional Neural Networks for Time Series Classification https://arxiv.org/pdf/1603.06995v4.pdf
lstm时间序列预测 https://github.com/RobRomijnders/LSTM_tsc
CNN时间序列预测 http://robromijnders.github.io/CNN_tsc/
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标签:

互联网趋势报告

分类: TIPS

The CIFAR-10 dataset http://www.cs.toronto.edu/~kriz/cifar.html
http://rodrigob.github.io/are_we_there_yet/build/classification_datasets_results.html
kaggle past solutions http://ndres.me/kaggle-past-solutions/
互联网趋势报告2017 http://www.kpcb.com/internet-trends
3 Million Instacart Orders, Open Sourced https://www.instacart.com/datasets/grocery-shopping-2017 
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标签:

tensoflow

分类: 深度学习
TensorFlow for Machine Intelligence https://github.com/backstopmedia/tensorflowbook
Picasso: A free open-source visualizer for Convolutional Neural Networks https://github.com/merantix/picasso
Network Dissection: Quantifying Interpretability of Deep Visual Representations http://netdissect.csail.mit.edu/
Google's TensorFlow numerical computation and machine learning library https://github.com/memo/ofxMSATensorFlow
tensorflow cnn http://upflow.co/l/msqr/2017/04/01/image-classification-using-convolutional-neural-networks-in-tensorflow
LSTM by Example using Tensorflow https://medium.com/towards-data-science/lstm-by-example-using-tensorflow-feb0c1968537
stanford imagenet dog dataset http://vision.stanford.edu/aditya86/ImageNetDogs/
GPU-accelerated Keras with Tensorflow or Theano on Windows 10 native https://github.com/philferriere/dlwin
Convolutional Neural Networks for Visual Recognition http://cs
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标签:

增强学习

分类: 深度学习
2017 data science bowl 2nd https://github.com/dhammack/DSB2017/ https://github.com/juliandewit/kaggle_ndsb2017/
增强学习介绍 https://lufficc.com/blog/reinforcement-learning-and-implementation https://github.com/lufficc/dqn
Demystifying Deep Reinforcement Learning https://www.nervanasys.com/demystifying-deep-reinforcement-learning/
Santander Product Recommendation https://github.com/ttvand/Santander-Product-Recommendation
https://github.com/aaron-xichen/pytorch-playground Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet, Inception, SqueezeNet)
伯克利增强学习课程 http://rll.berkeley.edu/deeprlcourse/
DQN 从入门到放弃1 DQN与增强学习 https://zhuanlan.zhihu.com/p/21262246
alphago介绍 http://www0.cs.ucl.ac.uk/staff/D.Silver/web/Resources_files/AlphaGo_IJCAI.pdf
geohash https://en.wikipedia.org/wiki/Geohash http://blog.csdn.net/zmx729
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标签:

增强学习

深度学习

分类: 深度学习



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标签:

hadoop

giraph

pregel

分类: 云计算
最近实际项目需要构建复杂网络,这块一直没有实践,之前主要是看看paper,尤其是大数据下的图计算模型。基于hadoop的图计算框架giraph(facebook实践),通过实践对pregel的理解更加深入,实现热传导算法等等。
hadoop graph框架学习和实践   giraph http://giraph.apache.org/ , http://grafos.ml/  http://arabesque.io/
Arabesque: A System for Distributed Graph Mining http://sigops.org/sosp/sosp15/current/2015-Monterey/printable/093-teixeira.pdf
tensorflow https://github.com/skcript/tensorflow-resources
spark https://github.com/endymecy/spark-ml-source-analysis
spark 关闭运行日志 http://stackoverflow.com/questions/25193488/how-to-turn-off-info-logging-in-pyspark
Architecture of Giants: Data Stacks at Facebook, Netflix, Airbnb, and Pinterest https://blog.keen.io/architecture-of-giants-data-stacks-at-facebook-netflix-airbnb-and-pinterest-9b7cd881af54?imm_mid=0f1550
TensorFlow template application for deep
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标签:

kaggle

智能问答

分类: TIPS
learning deep learning with keras http://p.migdal.pl/2017/04/30/teaching-deep-learning.html
移动视频2017年用户画像和趋势预测 http://mp.weixin.qq.com/s?src=3&timestamp=1493786539&ver=1&signature=LmxQAN5pURJyKafpyA7pOMD85zwzyCuxMHTKCKqXVC7D-a*-DWOtWapMbH0LA6VWonKHQy1pAp*EX0bRu5lpiTELozDJCDoTiZL4*5LVI2sMLN5DECkwAslE1rtyOmOs8zc8opBzTAfPs7sN9uqgLVhn20e-HC1lJG7SBSj*gmQ=
https://chrisalbon.com/ Notes on Data Science, Machine Learning, & Artificial Intelligence
TensorFlow template application for deep learning https://github.com/tobegit3hub/deep_recommend_system.git
Python + Scrapy + MongoDB . 5 million data per day !!!💥 The world's largest website. 🔞  https://github.com/xiyouMc/WebHubBot
QuestionAnsweringSystem是一个Java实现的人机问答系统,能够自动分析问题并给出候选答案 https://github.com/ysc/QuestionAnsweringSystem
python 新闻联播 https://github.com/maxiee/MyCodes/blob/master/PythonJie
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标签:

机器学习

深度学习

分类: TIPS
How transferable are features in deep neural networks? https://arxiv.org/abs/1411.1792
TensorFlow CNN for fast style transfer https://github.com/lengstrom/fast-style-transfer
https://github.com/HappyShadowWalker/ChineseTextClassify 中文文本分类,使用搜狗文本分类语料库
https://lukeoakdenrayner.wordpress.com/2017/04/24/the-end-of-human-doctors-understanding-medicine/ The End of Human Doctors – Understanding Medicine
Machine Learning in Science and Industry slides http://arogozhnikov.github.io/2017/04/20/machine-learning-in-science-and-industry.html https://github.com/yandexdataschool/MLAtGradDays
all the available code repos for the NIPS 2016's top papers https://www.reddit.com/r/MachineLearning/comments/5hwqeb/project_all_code_implementations_for_nips_2016/
Best Practices for Applying Deep Learning to Novel Applications https://arxiv.org/abs/1704.01568v1?utm_campaign=Revue newsletter&utm_medium=Newsletter&
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