Home - k821209/pipelines GitHub Wiki

Welcome to the pipelines wiki!

KERAS codes

https://github.com/adventuresinML/adventures-in-ml-code

https://github.com/cesc-park/CRCN/blob/master/keras/examples/skipgram_word_embeddings.py ## keras word2vector

https://github.com/PacktPublishing/Deep-Learning-with-Keras/blob/master/Chapter05/word2vec_skipgram.py ## 모델이 좀 이상한데 트리플렛 만드는 방법이 독특함 참고.

https://code.google.com/archive/p/word2vec/

Gebot

http://throughkim.kr/2016/07/11/kakao-haksik/

NLTK

http://khanrc.tistory.com/entry/Bag-of-Words-Meet-Bags-of-Popcorn-2-Part-2?category=561977

https://www.lucypark.kr/courses/2015-dm/text-mining.html

GWAS

http://journal.kisep.com/pdf/002/2011/0022011004.pdf

https://github.com/YeongHyeon/R-CNN_LIGHT # 빠른 인식이라는데..

https://github.com/gokceneraslan/awesome-deepbio

http://www.barcodinglife.com/

http://www.cbs.dtu.dk/index.shtml

https://github.com/jakevdp/PythonDataScienceHandbook

HTML

http://blog.fperez.org/2012/09/blogging-with-ipython-notebook.html

ML

http://norman3.github.io/prml/

https://tkipf.github.io/graph-convolutional-networks/

https://kaonashi-tyc.github.io/2017/04/06/zi2zi.html

http://distill.pub/2016/deconv-checkerboard/ # conv AE

http://kvfrans.com/variational-autoencoders-explained/ # VAE

http://nbviewer.jupyter.org/github/metamath1/ml-simple-works/blob/master/GAN/GANs.ipynb

https://github.com/sbrugman/deep-learning-papers

https://leonardoaraujosantos.gitbooks.io/artificial-inteligence/content/object_localization_and_detection.html

https://elitedatascience.com/keras-tutorial-deep-learning-in-python

http://iamtrask.github.io/2015/07/12/basic-python-network/

https://iamtrask.github.io/2015/11/15/anyone-can-code-lstm/

https://www.youtube.com/watch?v=wuo4JdG3SvU

https://devblogs.nvidia.com/parallelforall/deep-learning-nutshell-core-concepts/

https://github.com/GunhoChoi/GAN_simple/blob/master/LSGAN/LSGAN_TF.ipynb

bayesian

http://faculty.washington.edu/kenrice/BayesIntroClassEpi515.pdf

visNetwork

https://cran.r-project.org/web/packages/visNetwork/vignettes/Introduction-to-visNetwork.html

python lecture

http://christopherroach.com/articles/statistics-for-hackers/ # basic statistics

http://bagrow.com/ds2/

https://datascienceschool.net/view-notebook/661128713b654edc928ecb455a826b1d/

css

http://webberstudy.com/html-css/css-1/font-style/

html

http://www.html.am/html-codes/textboxes/html-textbox.cfm

Scikit-flow

http://www.kdnuggets.com/2016/02/scikit-flow-easy-deep-learning-tensorflow-scikit-learn.html

network visualization

https://gephi.org/

high level DNN https://keras.io/