Xinyi Hu's repositories
AIinterview
算法工程师面试题整理
Awesome-algorithm-interview
算法工程师(人工智能CV方向)面试问题及相关资料
Awesome-Federated-Machine-Learning
Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond
Awesome-Super-Resolution
Collect super-resolution related papers, data, repositories
Collaborative-Distillation
PyTorch code for our CVPR'20 paper "Collaborative Distillation for Ultra-Resolution Universal Style Transfer"
dense-block-pruning
a compression method of dense block
examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
FedCorr
CVPR 2022: FedCorr: Multi-Stage Federated Learning for Label Noise Correction
Federated-Learning-PyTorch
Implementation of Communication-Efficient Learning of Deep Networks from Decentralized Data
FedLab
A flexible Federated Learning Framework based on PyTorch, simplifying your Federated Learning research.
IQA-PyTorch
PyTorch Toolbox for Image Quality Assessment, including LPIPS, FID, NIQE, NRQM(Ma), MUSIQ, NIMA, DBCNN, WaDIQaM, BRISQUE, PI and more...
LotteryFL
LotteryFL: Empower Edge Intelligence with Personalized and Communication-Efficient Federated Learning (2021 IEEE/ACM Symposium on Edge Computing)
NIID-Bench
Federated Learning on Non-IID Data Silos: An Experimental Study (ICDE 2022)
Paper-Writing-Tips
Paper Writing Tips
pFedMe
Personalized Federated Learning with Moreau Envelopes (pFedMe) using Pytorch (NeurIPS 2020)
PFL-Non-IID
The origin of the Non-IID phenomenon is the personalization of users, who generate the Non-IID data. With Non-IID (Not Independent and Identically Distributed) issues existing in the federated learning setting, a myriad of approaches has been proposed to crack this hard nut. In contrast, the personalized federated learning may take the advantage of the Non-IID data to learn the personalized model for each user. Thanks to @Stonesjtu, this platform can also record the GPU memory usage for the model.
PolarizationPruning
Implementation of Neuron-level Structured Pruning using Polarization Regularizer
PyHessian
PyHessian is a Pytorch library for second-order based analysis and training of Neural Networks
pytorch-cifar
95.16% on CIFAR10 with PyTorch
PyTorch-LBFGS
A PyTorch implementation of L-BFGS.
pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
smilelogging
Python logging package for easy reproducible experimenting in research @ SMILE Lab
SOLAR
PyTorch code for "SOLAR: Second-Order Loss and Attention for Image Retrieval". In ECCV 2020
Taylor_pruning
Pruning Neural Networks with Taylor criterion in Pytorch
zjuthesis
Zhejiang University Graduation Thesis LaTeX Template