Stars
9
Forks
5
Language
Python
Last Updated
Jan 01, 2021
Similar Repos
Repo | Language | Stars | Description | Updated At |
---|---|---|---|---|
TeX | 5 | see http://arxiv.org/abs/1301.1334 | Mar 27, 2018 | |
Python | 8 | Implementation of Adverserial Discriminative Domain Adaptation from https://arxiv.org/abs/1702.05464 | May 05, 2021 | |
Python | 26 | [AAAI 2020] Code release for "Domain Conditioned Adaptation Network" https://arxiv.org/abs/2005.06717 | Jul 12, 2022 | |
Python | 99 | Unsupervised Video Domain Adaptation: A Disentanglement Perspective | Apr 01, 2023 | |
Python | 8 | see https://arxiv.org/abs/1801.09449 | Jan 12, 2021 | |
TeX | 2 | http://arxiv.org/abs/1407.5117 | Jan 06, 2016 | |
R | 2 | http://arxiv.org/abs/1604.03614v2 | Sep 16, 2018 | |
Cuda | 12 | http://arxiv.org/abs/1511.02583 | Jan 14, 2022 | |
Python | 14 | Unfinished Work: Implementation of Multi-Adversarial Domain Adaptation (https://arxiv.org/abs/1809.02176) in Pytorch | Apr 21, 2023 | |
Python | 31 | [TPAMI 2021] Code release for "Generalized Domain Conditioned Adaptation Network" https://arxiv.org/abs/2103.12339 | Aug 13, 2022 | |
C++ | 2 | Julia and C++ Implementations of the bayesian blocks algorithm https://arxiv.org/abs/1207.5578 | Oct 23, 2023 | |
C | 22 | Library for fast spherical harmonic transforms, see http://arxiv.org/abs/1303.4945 | May 23, 2022 | |
None | 4 | Code for ICLR2022 Decoupled Adaptation for Cross-Domain Object Detection (D-adapt) https://arxiv.org/abs/2110.02578 | Jul 05, 2022 | |
None | 3 | Code for CVPR 2021 Regressive Domain Adaptation for Unsupervised Keypoint Detection (RegDA) https://arxiv.org/abs/2103.06175 | Sep 03, 2022 | |
Python | 19 | [ACMMM 2020] Code release for "Simultaneous Semantic Alignment Network for Heterogenous Domain Adaptation" https://arxiv.org/abs/2008.01677 | May 16, 2022 | |
Python | 28 | [AAAI 2021] Code release for "Bi-Classifier Determinacy Maximization for Unsupervised Domain Adaptation" https://arxiv.org/abs/2012.06995 | Jul 13, 2022 | |
Python | 19 | Simple reimplementation of Maximum Density Divergence for Unsupervised Domain Adaptation (https://arxiv.org/abs/2004.12615) in PyTorch Lightning | Apr 29, 2023 | |
Python | 60 | Tensorflow implementation of CNN described in https://arxiv.org/abs/1806.09594 | May 15, 2022 | |
Jupyter Notebook | 26 | Implementation of RLNs, as described in https://arxiv.org/abs/1805.06440 | Oct 10, 2022 | |
Python | 38 | [AAAI 2022] Official Implementation of Active Learning for Domain Adaptation: An Energy-based Approach https://arxiv.org/abs/2112.01406 | Jul 13, 2022 | |
Python | 33 | Rank Ordered Autoencoder implementation as described in https://arxiv.org/abs/1605.01749 | Jan 24, 2021 | |
Python | 23 | Abstractive text summarization http://arxiv.org/abs/1509.00685 | Feb 10, 2022 | |
Python | 2 | An implementation of http://arxiv.org/abs/1402.1694 | Aug 25, 2017 | |
Python | 16 | Implementation of Phase Coupling Estimation in Python and Matlab (see http://arxiv.org/abs/0906.3844 ) | Apr 24, 2019 | |
Python | 73 | Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779) | Oct 08, 2022 | |
Python | 2 | Python implementation of Elo-MMR as described in https://arxiv.org/abs/2101.00400 | Oct 03, 2023 | |
Python | 4 | Compiler for Register Demotion. See. https://arxiv.org/abs/1907.02894 | May 17, 2022 | |
Python | 5 | A platform for developing AI systems as described in A Roadmap towards Machine Intelligence - … | Dec 14, 2017 | |
None | 1330 | A platform for developing AI systems as described in A Roadmap towards Machine Intelligence - … | Jun 20, 2022 | |
Jupyter Notebook | 42 | A Caffe implementation of http://arxiv.org/abs/1512.07928 | Jun 29, 2022 | |
Lua | 1378 | A torch implementation of http://arxiv.org/abs/1511.06434 | Oct 16, 2022 | |
Python | 86 | Molding CNNs for text (http://arxiv.org/abs/1508.04112) | Apr 24, 2022 | |
Python | 65 | Tensorflow implementation of paper http://arxiv.org/abs/1809.02105 | Oct 05, 2022 | |
Python | 9 | TAdam (http://arxiv.org/abs/2003.00179) code in pytorch | Jan 09, 2023 | |
Matlab | 2 | Companion MATLAB scripts for http://arxiv.org/abs/1310.7954 | Aug 01, 2023 | |
Python | 6 | Use Three models for synonym extraction. Implement the algorithm described in http://arxiv.org/pdf/1412.2197.pdf | Sep 05, 2022 | |
Python | 154 | Powerful unsupervised domain adaptation method for dense retrieval. Requires only unlabeled corpus and yields massive … | Aug 13, 2022 | |
Jupyter Notebook | 1019 | Tensorflow code for the Bayesian GAN (https://arxiv.org/abs/1705.09558) (NIPS 2017) | Sep 30, 2022 | |
Python | 92 | TensorFlow implementation for the GP-VAE model described in https://arxiv.org/abs/1907.04155 | Oct 17, 2022 | |
Python | 74 | Official PyTorch implementation of SynDiff described in the paper (https://arxiv.org/abs/2207.08208). | Apr 28, 2023 | |
Python | 9 | Official PyTorch implementation of AdaDiff described in the paper (https://arxiv.org/abs/2207.05876). | May 05, 2023 | |
Python | 22 | Source code for models described in the paper "ESResNet: Environmental Sound Classification Based on Visual … | Dec 27, 2022 | |
Lua | 392 | Implements an efficient softmax approximation as described in the paper "Efficient softmax approximation for GPUs" … | Jun 12, 2022 | |
Lua | 4 | Implements an efficient softmax approximation as described in the paper "Efficient softmax approximation for GPUs" … | May 03, 2020 | |
Jupyter Notebook | 258 | Code to synthesise textures using convolutional neural networks as described in Gatys et al. 2015 … | Oct 13, 2022 | |
Python | 2 | New method for Unsupervised Domain Adaptation Person ReID | Apr 25, 2023 | |
None | 4 | Implementation of [Simple, Scalable Adaptation for Neural Machine Translation](https://arxiv.org/abs/1909.08478) | Dec 24, 2022 | |
Python | 24 | A Cross-Domain Transferable Neural Coherence Model https://arxiv.org/abs/1905.11912 | Apr 20, 2023 | |
C++ | 12 | High-performance (C++) implementation of the leapfrog-triejoin algorithm by Todd Veldhuizen (http://arxiv.org/abs/1210.0481) | Mar 23, 2023 | |
Python | 108 | Using the CLR algorithm for training (https://arxiv.org/abs/1506.01186) | Nov 30, 2021 |