Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
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Transfer Learning Library | 2,883 | 5 months ago | 2 | July 24, 2020 | 28 | mit | Python | |||
Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization | ||||||||||
Tf Dann | 580 | 2 years ago | 10 | mit | Jupyter Notebook | |||||
Domain-Adversarial Neural Network in Tensorflow | ||||||||||
Exclusively Dark Image Dataset | 461 | 8 months ago | 8 | bsd-3-clause | MATLAB | |||||
Exclusively Dark (ExDARK) dataset which to the best of our knowledge, is the largest collection of low-light images taken in very low-light environments to twilight (i.e 10 different conditions) to-date with image class and object level annotations. | ||||||||||
Pytorch Domain Adaptation | 357 | 3 years ago | 6 | mit | Python | |||||
A collection of implementations of adversarial domain adaptation algorithms | ||||||||||
Iros20 6d Pose Tracking | 299 | 8 months ago | 4 | other | Python | |||||
[IROS 2020] se(3)-TrackNet: Data-driven 6D Pose Tracking by Calibrating Image Residuals in Synthetic Domains | ||||||||||
Dann_py3 | 298 | 2 years ago | 2 | mit | Python | |||||
python 3 pytorch implementation of DANN | ||||||||||
Shot | 279 | 2 years ago | mit | Python | ||||||
code released for our ICML 2020 paper "Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation" | ||||||||||
Squeezesegv2 | 205 | a year ago | 20 | bsd-2-clause | Python | |||||
Implementation of SqueezeSegV2, Improved Model Structure and Unsupervised Domain Adaptation for Road-Object Segmentation from a LiDAR Point Cloud | ||||||||||
Universal Domain Adaptation | 190 | 2 years ago | 7 | Python | ||||||
Code release for Universal Domain Adaptation(CVPR 2019) | ||||||||||
Meta Selflearning | 175 | 2 years ago | Python | |||||||
Meta Self-learning for Multi-Source Domain Adaptation: A Benchmark |