DuiWang7

DuiWang7's Stars

• tatsu-lab/stanford_alpaca

  Code and documentation to train Stanford's Alpaca models, and generate the data.

  Language:Python29.3k4k

• google-research/t5x

  Language:Python2.6k297

• sthalles/SimCLR

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

  Language:Jupyter Notebook2.2k458

• jd-opensource/TeD-Q

  TeD-Q (Tensor-network enhanced Distributed Quantum) is a tensor network enhanced distributed hybrid quantum machine learning framework.

  Language:Python944

• ZOMIN28/ResNet18_Cifar10_95.46

  Pytorch实现：使用ResNet18网络训练Cifar10数据集，测试集准确率达到95.46%(从0开始，不使用预训练模型)

  Language:Python16916

• xmed-lab/RSCFed

  CVPR 2022: RSCFed: Random Sampling Consensus Federated Semi-supervised Learning

  Language:Python4513

• Thinklab-SJTU/GAMF

  Language:Python162

• qhliu26/Dive-into-Big-Model-Training

  Dive into Big Model Training

  10911

• ki-ljl/FedProx-PyTorch

  PyTorch implementation of FedProx (Federated Optimization for Heterogeneous Networks, MLSys 2020).

  Language:Python9318

• mattiadutto/aml_federeted_learning

  Comparison of FedAvg and FedDyn as a final project for the Advance Machine Learning course at Politecnico di Torino

  Language:Jupyter Notebook33

• ramshi236/Accelerated-Federated-Learning-Over-MAC-in-Heterogeneous-Networks

  SCAFFOLD and FedAvg implementation

  Language:Python5810

• ongzh/ScaffoldFL

  Implementation of Scaffold and Fedprox for Federated Learning using PyTorch

  Language:Python1810

• AntixK/FedDyn

  Federated Learning Based Dynamic Regularization

  Language:Python182

• SMILELab-FL/FedLab-benchmarks

  Standard federated learning implementations in FedLab and FL benchmarks.

  Language:Jupyter Notebook15244

• NVlabs/FedFomo

  Language:Python3712

• pliang279/LG-FedAvg

  [NeurIPS 2019 FL workshop] Federated Learning with Local and Global Representations

  Language:Python22954

• KarhouTam/SCAFFOLD-PyTorch

  Implementation of SCAFFOLD: Stochastic Controlled Averaging for Federated Learning

  Language:Python5513

• ModelTC/Prototype

  Language:Python123

• richardaecn/class-balanced-loss

  Class-Balanced Loss Based on Effective Number of Samples. CVPR 2019

  Language:Python59768

• zalandoresearch/fashion-mnist

  A MNIST-like fashion product database. Benchmark :point_down:

  Language:Python11.8k3k

• jiawei-ren/BalancedMetaSoftmax-Classification

  [NeurIPS 2020] Balanced Meta-Softmax for Long-Tailed Visual Recognition

  Language:Python13526

• Hydrino/ACGAN_cifar10

  A PyTorch implementation of Auxiliary Classifier GAN to generate CIFAR10 images.

  Language:Python459

• Natsu6767/InfoGAN-PyTorch

  PyTorch Implementation of InfoGAN

  Language:Python32182

• MorvanZhou/mnistGANs

  Some implementations of GAN.

  Language:Python21258

• VITA-Group/AutoGAN

  [ICCV 2019] "AutoGAN: Neural Architecture Search for Generative Adversarial Networks" by Xinyu Gong, Shiyu Chang, Yifan Jiang and Zhangyang Wang

  Language:Python46385

• hyperconnect/LADE

  This repository contains code for the paper "Disentangling Label Distribution for Long-tailed Visual Recognition", published at CVPR' 2021

  Language:Python9611

• ViTAE-Transformer/ViTDet

  Unofficial implementation for [ECCV'22] "Exploring Plain Vision Transformer Backbones for Object Detection"

  Language:Python52446

• hongyouc/Fed-RoD

  On Bridging Generic and Personalized Federated Learning for Image Classification

  141

• IBM/FedMA

  Code for Federated Learning with Matched Averaging, ICLR 2020.

  Language:Python32684

• CharlieDinh/pFedMe

  Personalized Federated Learning with Moreau Envelopes (pFedMe) using Pytorch (NeurIPS 2020)

  Language:Python28887