YaoPhoebeGuo

YaoPhoebeGuo's Stars

• jakesnell/prototypical-networks

  Code for the NeurIPS 2017 Paper "Prototypical Networks for Few-shot Learning"

  Language:Python1.1k1331252

• yaoyao-liu/meta-transfer-learning

  TensorFlow and PyTorch implementation of "Meta-Transfer Learning for Few-Shot Learning" (CVPR2019)

  Language:Python7442261149

• mil-tokyo/MCD_DA

  Language:Python5572029153

• pykale/pykale

  Knowledge-Aware machine LEarning (KALE): accessible machine learning from multiple sources for interdisciplinary research, part of the 🔥PyTorch ecosystem. ⭐ Star to support our work!

  Language:Python4411111464

• yuntaodu/Transfer-learning-materials

  resource collection for transfer learning!

  Language:Python24220153

• thuml/LogME

  Code release for "LogME: Practical Assessment of Pre-trained Models for Transfer Learning" (ICML 2021) and Ranking and Tuning Pre-trained Models: A New Paradigm for Exploiting Model Hubs (JMLR 2022)

  Language:Python20252418

• postBG/DTA.pytorch

  Official implementation of Drop to Adapt: Learning Discriminative Features for Unsupervised Domain Adaptation presented at ICCV 2019.

  Language:Python1638815

• lancopku/AdaMod

  Adaptive and Momental Bounds for Adaptive Learning Rate Methods.

  Language:Python1279227

• FengHZ/KD3A

  Here is the official implementation of the model KD3A in paper "KD3A: Unsupervised Multi-Source Decentralized Domain Adaptation via Knowledge Distillation".

  Language:Python1093412

• JingweiToo/EMG-Feature-Extraction-Toolbox

  This toolbox offers 40 feature extraction methods (EMAV, EWL, MAV, WL, SSC, ZC, and etc.) for Electromyography (EMG) signals applications.

  Language:MATLAB863221

• jiangfeng1124/transfer

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

  Language:Python625322

• Xiaodongsuper/Adaptive-Collaborative-Similarity-Learning-for-Unsupervised-Multi-view-Feature-Selection

  Adaptive Collaborative Similarity Learning for Unsupervised Multi-view Feature Selection IJCAI2018

  Language:MATLAB59234

• copenlu/xformer-multi-source-domain-adaptation

  Code to reproduce the experiments in the paper "Transformer Based Multi-Source Domain Adaptation" (EMNLP 2020)

  Language:Python403110

• Exp-Time-Series-Tools/Ms-CNN

  Multi-Scale Convolutional Neural Network for Time Series Classification (MCNN)

  Language:Python22308

• amber0309/SCA

  MATLAB Implementation of Scatter Component Analysis (SCA) for Domain Generalization

  Language:MATLAB17223

• huangdonghere/SRCFS

  MATLAB code for Unsupervised Feature Selection with Multi-Subspace Randomization and Collaboration (SRCFS) (KBS 2019)

  Language:MATLAB14101

• lijin118/clga

  Code for "Coupled local–global adaptation for multi-source transfer learning" published on Neurocomputing

  Language:Matlab12101

• liujikun/Multi-kernel-Joint-Domain-Matching

  A Multi-Kernel domain adaptation method for unsupervised transfer learning on cross-source and cross-region remote sensing data classification

  Language:MATLAB10100

• adavoudi/DPLM

  Dimensionality reduction based on distance preservation to local mean for symmetric positive definite matrices

  Language:MATLAB9214

• Yiyang98/BFUDA

  Code release for "Clarinet: A One-step Approach Towards Budget-friendly Unsupervised Domain Adaptation" (IJCAI 2020)

  Language:Python9102

• sechidis/2019-Entropy-Multi-target-feature-selection

  Matlab code for the methods presented in the paper "Multi-target feature selection through output space clustering"

  Language:MATLAB6001

• sonnatang/RiemannianGLVQ

  Language:MATLAB5

• tracy6955/IBM_seizure_data

  Language:Python52

• AdamosDA/Manifold-learning-spike-sorting

  A tutorial on how to use low-dimensional embedding (i.e. ISOMAP algorithm) for feature extraction in spike sorting

  Language:Matlab4200

• cwidmer/shogun

  The Shogun Machine Learning Toolbox (Source Code)

  Language:C++3200

• yuntaodu/HomOTL-ODDM

  Homogeneous Online Transfer Learning with Online Distribution Discrepancy Minimization

  Language:MATLAB3000

• mariehane/prototypical-networks

  A re-implementation of "Prototypical Networks for Few-shot Learning" by Jake Snell, Kevin Swersky, and Richard S. Zemel.

  Language:Python2100

• biggs/advanced_topics

  Arthur Gretton's course in Kernel Methods

  Language:MATLAB1200

• deskool/Eigenspectrum

  A Matlab implementation of the Eigenspectrum from Williamson et al. "Seizure prediction using EEG spatiotemporal correlation structure."

  Language:Matlab1200

• hnjzlishuang/PRDA

  code and data for PRDA

  Language:MATLAB1100