chamwen

chamwen's Stars

• houshanren/hangzhou_house_knowledge

  2017年买房经历总结出来的买房购房知识分享给大家，希望对大家有所帮助。买房不易，且买且珍惜。Sharing the knowledge of buy an own house that according to the experience at hangzhou in 2017 to all the people. It's not easy to buy a own house, so I hope that it would be useful to everyone.

  Language:CSS26.7k1.4k1485.3k

• amusi/CVPR2024-Papers-with-Code

  CVPR 2024 论文和开源项目合集

  18.5k2932022.6k

• rasbt/deeplearning-models

  A collection of various deep learning architectures, models, and tips

  Language:Jupyter Notebook16.8k594304k

• jason718/awesome-self-supervised-learning

  A curated list of awesome self-supervised methods

  6.2k24819828

• qiyuangong/leetcode

  Python & JAVA Solutions for Leetcode

  Language:Python5.2k124171.5k

• open-mmlab/mmselfsup

  OpenMMLab Self-Supervised Learning Toolbox and Benchmark

  Language:Python3.2k45279432

• subeeshvasu/Awesome-Learning-with-Label-Noise

  A curated list of resources for Learning with Noisy Labels

  2.6k9913352

• CuriousAI/mean-teacher

  A state-of-the-art semi-supervised method for image recognition

  Language:Python1.6k5759336

• easezyc/deep-transfer-learning

  A collection of implementations of deep domain adaptation algorithms

  Language:Python897937205

• yxgeee/MMT

  [ICLR-2020] Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification.

  Language:Python473104372

• Aura-healthcare/hrv-analysis

  Package for Heart Rate Variability analysis in Python

  Language:Python39193495

• VisionLearningGroup/SSDA_MME

  Semi-supervised Domain Adaptation via Minimax Entropy

  Language:Python3017847

• jiangnanboy/learning_to_rank

  利用lightgbm做(learning to rank)排序学习，包括数据处理、模型训练、模型决策可视化、模型可解释性以及预测等。Use LightGBM to learn ranking, including data processing, model training, model decision visualization, model interpretability and prediction, etc.

  Language:Python2612671

• mtyylx/MLND

  Udacity Machine Learning Nano Degree Courses

  Language:Jupyter Notebook20184107

• ChrisAllenMing/Mixup_for_UDA

  Implementation of Adversarial Domain Adaptation with Domain Mixup (AAAI 2020 Oral).

  Language:Python1626824

• RockySJ/WDGRL

  Language:Python1245735

• rflamary/JDOT

  Joint distribution optimal transportation for domain adaptation

  Language:Python936026

• iis-eth-zurich/eeg-tcnet

  Language:Jupyter Notebook734113

• ygjwd12345/TransDA

  Official pytorch implement for “Transformer-Based Source-Free Domain Adaptation”

  Language:Python66236

• liyunsheng13/DRT

  Language:Python654109

• youngryan1993/SFDA-SourceFreeDA

  Published in IEEE Transactions on Artificial Intelligence

  Language:Python553313

• driptaRC/DECISION

  Unsupervised Multi-source Domain Adaptation Without Access to Source Data (CVPR '21 Oral)

  Language:Python541410

• varungohil/Generalizing-Lottery-Tickets

  This repository contains code to replicate the experiments given in NeurIPS 2019 paper "One ticket to win them all: generalizing lottery ticket initializations across datasets and optimizers"

  Language:Jupyter Notebook51569

• microsoft/metric-transfer.pytorch

  Deep Metric Transfer for Label Propagation with Limited Annotated Data

  Language:Jupyter Notebook497219

• Albert0147/BAIT_SFUDA

  Unsupervised Domain Adaptation without Source Data by Casting a BAIT

  Language:Python24336

• YaojieBao/An-Information-theoretic-Metric-of-Transferability

  This repository contains the codes of the experiments in Paper An Information-theoretic Metric of Transferability for Task Transfer Learning

  Language:Python22304

• chamwen/Transfer-learning-trends

  A collection of trends about transfer learning

  17401

• twanvl/rwa-da

  Unsupervised Domain Adaptation with Random Walks on Target Labelings

  Language:Matlab9204

• iedwardwangi/ReliableMSTL

  Language:Python7105

• ZhihaoPENG-CityU/TCSVT19---ATL

  Language:C++3120