wanger521

wanger521's Stars

• CN-GuoZiyang/MYDB

  一个简单的数据库实现

  Language:Java893229

• weimingwill/EasyFL

  An easy-to-use federated learning platform

  Language:Python29751

• CoderLeixiaoshuai/java-eight-part

  『Java八股文』Java面试套路，Java进阶学习，打破内卷拿大厂Offer，升职加薪！

  Language:Java6.1k999

• Timbasa/Dynamic_Local_Regret_for_Non-convex_Online_Forecasting_NeurIPS2019

  Language:HTML92

• SarodYatawatta/federated-pytorch-test

  Federated learning with PyTorch (federated averaging and consensus optimization): with 'reduced' bandwidth

  Language:Python417

• OpenMined/PySyft

  Perform data science on data that remains in someone else's server

  Language:Python9.6k2k

• Zhaoxian-Wu/IOS

  Code for paper "Byzantine-Resilient Decentralized Stochastic Optimization with Robust Aggregation Rules"

  Language:Python18

• microsoft/DMTK

  Microsoft Distributed Machine Learning Toolkit

  2.7k558

• 521xueweihan/HelloGitHub

  :octocat: 分享 GitHub 上有趣、入门级的开源项目。Share interesting, entry-level open source projects on GitHub.

  Language:Python97.2k9.8k

• ngessert/isic2019

  Code for the ISIC2019 Challenge

  Language:Python11631

• sgvaze/osr_closed_set_all_you_need

  Official repo for our ICLR 22 Oral paper: "Open-Set Recognition: a Good Closed-Set Classifier is All You Need?"

  Language:Python27733

• Andrewwango/open-set-resnet

  Open set classification of car models. This 3-step classifier solves the problem where dogs are classified as cars, by first filtering these images out using ResNet CNNs transfer-trained on different datasets.

  Language:Jupyter Notebook104

• abhijitbendale/OSDN

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

  Language:Python25857

• MrtnMndt/Deep_Openset_Recognition_through_Uncertainty

  PyTorch code for our paper: Open Set Recognition Through Deep Neural Network Uncertainty: Does Out-of-Distribution Detection Require Generative Classifiers? https://arxiv.org/abs/1908.09625

  Language:Python9019

• hexchao/hhhhhh

  118