domain-adaptation
Here are 552 public repositories matching this topic...
Surface EMG-based Inter-session Gesture Recognition Enhanced by Deep Domain Adaptation
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Mar 4, 2017 - Python
Adversarial Discriminative Domain Adaptation with MNIST 64x64 in Lasagne-Theano
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Apr 2, 2017 - Python
A PyTorch implementation for Adversarial Representation Learning for Domain Adaptation
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Aug 29, 2017 - Python
A PyTorch implementation for Asymmetric Tri-training for Unsupervised Domain Adaptation
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Sep 5, 2017 - Python
Adversarial Discriminative Domain Adaptation in Chainer
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Nov 20, 2017 - Python
PyTorch implementation of https://arxiv.org/abs/1711.02536
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Jan 11, 2018 - Python
Semantic Segmentation for the Visual Domain Adaptation Challenge segmentation track
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Feb 28, 2018 - Python
Learning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation
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Apr 3, 2018 - Python
The code base for the article "Neural Structural Correspondence Learning for Domain Adaptation", CoNLL 2017
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Jun 20, 2018 - Python
The code base for the SCL implementation used in "Neural Structural Correspondence Learning for Domain Adaptation", CoNLL 2017 and in "Pivot Based Language Modeling for Improved Neural Domain Adaptation", NAACL 2018
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Jul 2, 2018 - Python
Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version
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Jul 13, 2018 - Python
Domain adaptation applied to electron microscopy segmentation
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Aug 3, 2018 - Python
Domain Adaptation with Adversarial Training and Graph Embeddings
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Aug 14, 2018 - Python
Unofficial pytorch implementation of algorithms for domain adaptation
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Aug 15, 2018 - Python
Adversarial Unsupervised Domain Adaptation for Acoustic Scene Classification
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Aug 23, 2018 - Python
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Aug 25, 2018 - Python
Code and datasets for EMNLP2018 paper ‘‘Adaptive Semi-supervised Learning for Cross-domain Sentiment Classification’’.
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Sep 5, 2018 - Python
A TensorFlow implementation for fine-tuning AlexNet on Office dataset
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Sep 5, 2018 - Python
This is a PyTorch implementation of the Unsupervised Domain Adaptation method proposed in the paper Deep CORAL: Correlation Alignment for Deep Domain Adaptation. Baochen Sun and Kate Saenko (ECCV 2016).
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Oct 12, 2018 - Python
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