xiongpeng78

xiongpeng78's Stars

• TheAlgorithms/Python

  All Algorithms implemented in Python

  Language:Python196k5.9k1.5k46.1k

• algorithm-visualizer/algorithm-visualizer

  :fireworks:Interactive Online Platform that Visualizes Algorithms from Code

  Language:JavaScript47k1.2k1147.3k

• wesm/pydata-book

  Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

  Language:Jupyter Notebook22.5k1.5k12315.3k

• CharlesPikachu/Games

  Games: Create interesting games in pure python.

  Language:Python5.1k167292.3k

• christophM/interpretable-ml-book

  Book about interpretable machine learning

  Language:Jupyter Notebook4.8k1392091.1k

• thuml/Transfer-Learning-Library

  Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization

  Language:Python3.5k49206562

• jvanvugt/pytorch-domain-adaptation

  A collection of implementations of adversarial domain adaptation algorithms

  Language:Python6211211108

• kgl-prml/Contrastive-Adaptation-Network-for-Unsupervised-Domain-Adaptation

  pytorch implementation for Contrastive Adaptation Network

  Language:Python33061959

• Luodian/MADAN

  Pytorch Code release for our NeurIPS paper "Multi-source Domain Adaptation for Semantic Segmentation"

  Language:Python1718727

• zhmiao/OpenCompoundDomainAdaptation-OCDA

  Pytorch implementation for "Open Compound Domain Adaptation" (CVPR 2020 ORAL)

  Language:Python13971115

• apple/ml-cvpr2019-swd

  Sliced Wasserstein Discrepancy for Unsupervised Domain Adaptation. In CVPR 2019.

  Language:Python13018022

• hehaodele/CIDA

  [ICML 2020] Continuously Indexed Domain Adaptation

  Language:Jupyter Notebook1186518

• IssamLaradji/M-ADDA

  Domain Adaptation Based on the Triplet Loss

  Language:Python11310727

• mil-tokyo/dg_mmld

  Pytorch Implementation of Domain Generalization Using a Mixture of Multiple Latent Domains

  Language:Python9714815

• thuml/Transferable-Adversarial-Training

  Code release for Transferable Adversarial Training: A General Approach to Adapting Deep Classifiers (ICML2019)

  Language:Python807417

• ChrisAllenMing/LtC-MSDA

  Implementation of Learning to Combine: Knowledge Aggregation for Multi-Source Domain Adaptation (ECCV 2020).

  Language:Python696416

• jiangfeng1124/transfer

  Code and data for the paper "Multi-Source Domain Adaptation with Mixture of Experts" (EMNLP 2018)

  Language:Python655322

• daoyuan98/MDDA

  Implementation of paper multi-source distilling domain adaptation

  Language:Python527413

• zjy526223908/BTDA

  implement for paper Rethinking Domain Adaptation Blending target Domain Adaptation by Adversarial Meta Adaptation Network

  Language:Python38309

• BIT-DA/DCAN

  [AAAI 2020] Code release for "Domain Conditioned Adaptation Network" https://arxiv.org/abs/2005.06717

  Language:Python33249

• tasfia/DAMC

  Adversarial Network with Multiple Classifiers for Open Set Domain Adaptation

  Language:Jupyter Notebook22242

• junfengwen/DARN

  Domain Aggregation Networks

  Language:Python21315

• LIVIAETS/MT-MTDA

  Language:Python18411

• arthurdouillard/mada.pytorch

  Unfinished Work: Implementation of Multi-Adversarial Domain Adaptation (https://arxiv.org/abs/1809.02176) in Pytorch

  Language:Python16231

• zhao62/Adaptively-Parametric-ReLU

  The adaptively parametric ReLU is an activation function that performs non-identically for input samples.

  Language:Python162210

• PanPapag/DAMNets

  Domain-Adaptive Multibranch Networks

  Language:Python14424

• LivNLP/multi-source-attention

  Multi-Source Domain Attention

  Language:Python13415

• jtahmores/MDA

  Language:MATLAB8200

• VisionLearningGroup/Domain2Vec

  7106

• hongwang01/awsome-domain-adaptation

  A collection of AWESOME things about domian adaptation

  420