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Title: transferlearning/code at master · SNBQT/transferlearning · GitHub

Open Graph Title: transferlearning/code at master · SNBQT/transferlearning

X Title: transferlearning/code at master · SNBQT/transferlearning

Description: Everything about Transfer Learning and Domain Adaptation--迁移学习 - transferlearning/code at master · SNBQT/transferlearning

Open Graph Description: Everything about Transfer Learning and Domain Adaptation--迁移学习 - SNBQT/transferlearning

X Description: Everything about Transfer Learning and Domain Adaptation--迁移学习 - SNBQT/transferlearning

Opengraph URL: https://github.com/SNBQT/transferlearning/tree/master/code

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https://github.com/SNBQT/transferlearning/commits/master/code
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..https://github.com/SNBQT/transferlearning/tree/master
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https://github.com/SNBQT/transferlearning/tree/master/code#code_transfer_learning
https://github.com/SNBQT/transferlearning/tree/master/code#availiable-codes-for
https://github.com/SNBQT/transferlearning/tree/master/code#theory
Matlabhttps://github.com/lopezpaz/classifier_tests/tree/master/code/unit_test_mmd
Pythonhttps://github.com/jindongwang/transferlearning/tree/master/code/basic/mmd.py
https://github.com/SNBQT/transferlearning/tree/master/code#traditional-transfer-learning-methods
Matlabhttps://github.com/jindongwang/transferlearning/tree/master/code/SVM.m
Matlab(Recommended!)https://github.com/jindongwang/transferlearning/blob/master/code/MyTCA.m
Pythonhttps://github.com/jindongwang/transferlearning/tree/master/code/TCA_python
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Matlabhttps://github.com/xyh2016/MTLF
Matlab(official)https://github.com/Heliot7/open-set-da
Matlab(official)https://github.com/poppinace/TAISL
Matlabhttps://github.com/jindongwang/activityrecognition/tree/master/code/percom18_stl
Matlabhttp://homes.esat.kuleuven.be/~raljundi/papers/LSA%20Clean%20Code.zip
Matlab(official)http://stevenhoi.org/otl
https://github.com/SNBQT/transferlearning/tree/master/code#deep-transfer-learning-methods
PyTorchhttps://github.com/jindongwang/transferlearning/tree/master/code/deep/DaNN
PyTorchhttps://github.com/SSARCandy/DeepCORAL
中文解读https://ssarcandy.tw/2017/10/31/deep-coral/
PyTorch(Official)https://github.com/thuml/Xlearn/tree/master/pytorch
Caffe(Official)https://github.com/thuml/Xlearn
Caffehttps://github.com/thuml/Xlearn
Tensorflow(Official)https://github.com/erictzeng/adda
Pytorchhttps://github.com/corenel/pytorch-adda
Caffe(Official)https://github.com/ddtm/caffe/tree/grl
Tensorflow(third party)https://github.com/shucunt/domain_adaptation
PyTorchhttps://github.com/fungtion/DANN
Python(pure)https://github.com/GRAAL-Research/domain_adversarial_neural_network
Tensorflowhttps://github.com/jindongwang/tf-dann
Tensorflowhttps://github.com/haeusser/learning_by_association
Matlabhttps://github.com/hemanthdv/da-hash
Python(Keras)https://github.com/samotiian/CCSA
Pytorchhttps://github.com/thuml/MTlearn
Caffehttps://github.com/ducksoup/autodial
Tensorflowhttps://github.com/tensorflow/models/tree/master/research/domain_adaptation
Kerashttps://github.com/ghif/drcn
Kerashttps://github.com/ghif/mtae
Matlabhttps://github.com/rahafaljundi/Encoder-Based-Lifelong-learning
Pythonhttps://github.com/pmorerio/minimal-entropy-correlation-alignment
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Pytorchhttps://github.com/corenel/pytorch-atda#pytorch-atda
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Pytorchhttps://github.com/carpedm20/DiscoGAN-pytorch
Caffe(official)https://github.com/thuml/mada
Code from HKUSThttp://www.cse.ust.hk/TL/
https://github.com/SNBQT/transferlearning/tree/master/code#code-from-hkust-a-bit-old
herehttps://github.com/jindongwang/transferlearning/blob/master/doc/dataset.md
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