A survey of transfer learning

Journal of Big Data

Table 5 Software downloads for various transfer learning solutions

Approach	Location
Prettenhofer [91]	https://github.com/pprett/bolt [7]
Zhu [146]	http://www.cse.ust.hk/~yinz/ [139]
Dai [21]	https://github.com/BoChen90/machine-learning-matlab/blob/master/TrAdaBoost.m [6]
Daumé [22]	http://hal3.name/easyadapt.pl.gz [32]
Duan [30]	https://sites.google.com/site/xyzliwen/publications/HFA_release_0315.rar [49]
Kulis [58]	http://vision.cs.uml.edu/adaptation.html [18]
Qi [92]	http://www.eecs.ucf.edu/~gqi/publications.html [44]
Li [64]	http://www.lxduan.info/#sourcecode_hfa [67]
Gong [42]	http://www-scf.usc.edu/~boqinggo/ [9]
Long [68]	http://ise.thss.tsinghua.edu.cn/~mlong/ [75]
Oquab [81]	http://leon.bottou.org/papers/oquab-2014 [88]
Long [69]	http://ise.thss.tsinghua.edu.cn/~mlong/ [75]
Other transfer learning code	http://www.cse.ust.hk/TL/ [115]