PerfXLab : https://github.com/PerfXLab

Angela Yao https://angelayao.com/publications/

Vlad I. Morariu http://www.umiacs.umd.edu/~morariu/

https://www.zhihu.com/question/33272629

https://www.zybuluo.com/vivounicorn/note/872759

https://github.com/OAID

http://slideplayer.com/slide/9169560/

Learning Discriminative Representation for Skeletal Action Recognition Using LSTM Networks

http://www.uow.edu.au/~leiw/ http://www.uow.edu.au/~leiw/share_files/

https://github.com/jysung/activity_detection http://pr.cs.cornell.edu/humanactivities/

http://ravitejav.weebly.com/rolling.html

http://theorangeduck.com/page/neural-network-not-working

action recognition dataset: http://homepages.inf.ed.ac.uk/rbf/CVonline/Imagedbase.htm

http://www.icst.pku.edu.cn/struct/icmew2017/result.html

Learning features combination for human action recognition from skeleton sequences https://github.com/dluvizon/harskel Interpretable 3D Human Action Analysis with Temporal Convolutional Networks https://github.com/TaeSoo-Kim/TCNActionRecognition

http://www.di.ens.fr/willow/research/ltc/

https://hongsong-wang.github.io/ 1_Skeleton-based Action Recognition Using LSTM and CNN https://tryolabs.com/blog/2017/08/30/object-detection-an-overview-in-the-age-of-deep-learning/

https://zhuanlan.zhihu.com/p/27657196

https://www.oreilly.com/ideas/visualizing-convolutional-neural-networks

https://zhuanlan.zhihu.com/p/29435406

视频行为识别：https://zhuanlan.zhihu.com/wzmsltw

用pandas处理大数据——节省90%内存消耗的小贴士

Minimizing the Negative Log-Likelihood： http://willwolf.io/2017/05/18/minimizing_the_negative_log_likelihood_in_english/

http://lipn.fr/∼kanawati/software http://jiongqianliang.com

http://36kr.com/p/5090797.html

https://www.cnblogs.com/BeiGuo-FengGuang/p/9990693.html

http://cache.baiducontent.com/c?m=9d78d513d99006e905b8d42d5b029026475bda257a95c7140cc98e0dd6214c413021b5f9627f505dc4c50b365cf05407aca7696f340622b49ddf883d87fdcd76&p=c4759a40969e12a05aabd13a55&newp=86759a40c58250fc57efdb624553d8224216ed603dd2c44324b9d71fd325001c1b69e7bf21261505d3c776630aab4b57effb3d763c1766dada9fca458ae7c43b6e99&user=baidu&fm=sc&query=autograd&qid=ef1fbf58000593f1&p1=36 Source code analysis for Autograd Robin Dong 发表于 2018年08月23日 12:07 | Hits: 394 Tag: machine learning | autograd

http://www.cnblogs.com/vamei/tag/Python/default.html?page=2