xiaoleimiao

xiaoleimiao's Stars

• Cadene/pretrained-models.pytorch

  Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

  Language:Python9k2141811.8k

• thuml/Transfer-Learning-Library

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

  Language:Python3.5k49202559

• sthalles/SimCLR

  PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations

  Language:Jupyter Notebook2.3k2158469

• lukasruff/Deep-SVDD-PyTorch

  A PyTorch implementation of the Deep SVDD anomaly detection method

  Language:Python7091625199

• thuml/CDAN

  Code release for "Conditional Adversarial Domain Adaptation" (NIPS 2018)

  Language:Jupyter Notebook399103292

• abhijitbendale/OSDN

  Code and data for the research paper "Towards Open Set Deep Networks" A Bendale, T Boult, CVPR 2016

  Language:Python253141257

• iqiukp/SVDD-Python

  Python code for abnormal detection using Support Vector Data Description (SVDD)

  Language:Python18721057

• k-han/DTC

  "Learning to Discover Novel Visual Categories via Deep Transfer Clustering" by Kai Han, Andrea Vedaldi, Andrew Zisserman (ICCV 2019)

  Language:Python1595515

• VisionLearningGroup/DANCE

  repository for Universal Domain Adaptation through Self-supervision

  Language:Python12241020

• Solacex/Domain-Consensus-Clustering

  [CVPR2021] Domain Consensus Clustering for Universal Domain Adaptation

  Language:Python10931917

• thuml/Batch-Spectral-Penalization

  Code release for Transferability vs. Discriminability: Batch Spectral Penalization for Adversarial Domain Adaptation (ICML 2019)

  Language:Python915317

• VisionLearningGroup/OVANet

  Repository for OVANet

  Language:Python853615

• lwneal/counterfactual-open-set

  Counterfactual Image Generation

  Language:Python836623

• Gorilla-Lab-SCUT/SRDC-CVPR2020

  Code release for Unsupervised Domain Adaptation via Structurally Regularized Deep Clustering (CVPR2020-Oral).

  Language:Python80101116

• Vastlab/libMR

  Library for Meta-Recognition and Weibull based calibration of SVM data.

  Language:C80101423

• lijin118/CGDM

  Codes for "Cross-Domain Gradient Discrepancy Minimization for Unsupervised Domain Adaptation" in CVPR 2021

  Language:Python664614

• shivgahlout/Robust-Classification-with-Convolutional-Prototype-Learning-Pytorch

  PyTorch Implementation of Robust Classification with Convolutional Prototype Learning

  Language:Python623315

• fungtion/DRCN

  Pytorch implementation of Deep Reconstruction Classification Networks

  Language:Python394511

• Anjin-Liu/Openset_Learning_AOSR

  Source code for ICML2021 Paper - Learning Bounds for Open-set Learning

  Language:Jupyter Notebook34105

• BUserName/PGL

  Language:Python32466

• leishu02/EMNLP2017_DOC

  code for our EMNLP 2017 paper "DOC: Deep Open Classification of Text Documents"

  Language:Jupyter Notebook313211

• thuml/Calibrated-Multiple-Uncertainties

  Code Release for "Learning to Detect Open Classes for Universal Domain Adaptation"(ECCV2020)

  Language:Python30447

• PramuPerera/TransferLearningNovelty

  Language:Python23322

• gzqhappy/FGDA

  Language:Python18236

• mlosch/python-weibullfit

  MLE 2-parameter-Weibull distribution fit using MLE with numpy or pytorch

  Language:Python14302

• udohsolomon/anomaly-detection

  Python implementation of anomaly detection using the multivariate gaussian distribution

  Language:Python11427

• ajlien/wtte-torch

  Weibull Time To Event prediction with PyTorch and deep learning

  Language:Python7104

• zhangzilongc/Arxiv-paper-crawler-daily

  paper crawler dadily

  Language:Python7110

• christk1/anomaly-detection

  Anomaly detection using multivariate gaussian distribution

  Language:Python6102

• xuzhuojia/RTNet

  The codes for paper "Learning to Selectively Transfer with Reinforced Transfer Network for Partial Domain Adaptation"

  Language:Python400