SongjieXie

SongjieXie's Stars

• drimpossible/corrective-unlearning-bench

  Language:Shell77

• letianzj/QuantResearch

  Quantitative analysis, strategies and backtests

  Language:Jupyter Notebook1.9k405

• sangamesh-kodge/class_forgetting

  [Deep Unlearning-PyTorch] Class Forgetting as in paper "Deep Unlearning: Fast and Efficient Training-free Approach to Controlled Forgetting"

  Language:Python11

• JunweiLiang/awesome_lists

  Awesome Lists for Tenure-Track Assistant Professors and PhD students. (助理教授/博士生生存指南)

  Language:Python1.4k76

• meghdadk/SCRUB

  Language:Jupyter Notebook333

• weiaicunzai/pytorch-cifar100

  Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)

  Language:Python4.2k1.2k

• facebookresearch/simsiam

  PyTorch implementation of SimSiam https//arxiv.org/abs/2011.10566

  Language:Python1.1k177

• ShaofeiShen768/LAF

  Code for LAF paper

  Language:Jupyter Notebook41

• jjbrophy47/machine_unlearning

  Existing Literature about Machine Unlearning

  74595

• andreamad8/Universal-Transformer-Pytorch

  Implementation of Universal Transformer in Pytorch

  Language:Python25631

• aaron-xichen/pytorch-playground

  Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet, Inception, SqueezeNet)

  Language:Python2.6k609

• jwf40/Information-Theoretic-Unlearning

  Code for the paper 'An Information Theoretic Approach to Machine Unlearning'

  Language:Jupyter Notebook17

• lucmos/relreps

  Relative representations can be leveraged to enable solving tasks regarding "latent communication": from zero-shot model stitching to latent space comparison between diverse settings.

  Language:Jupyter Notebook456

• as791/ZOO_Attack_PyTorch

  This repository contains the PyTorch implementation of Zeroth Order Optimization Based Adversarial Black Box Attack (https://arxiv.org/abs/1708.03999)

  Language:Python3513

• tamlhp/awesome-machine-unlearning

  Awesome Machine Unlearning (A Survey of Machine Unlearning)

  Language:Jupyter Notebook68852

• shaojiawei07/Branchy-GNN

  Language:Python202

• shaojiawei07/VDDIB-SR

  Language:Python195

• shaojiawei07/Selective-FD

  Language:Python143

• ilkhem/icebeem

  Code for ICE-BeeM paper - NeurIPS 2020

  Language:Python8718

• wgrathwohl/JEM

  Project site for "Your Classifier is Secretly an Energy-Based Model and You Should Treat it Like One"

  Language:Python41563

• facebookresearch/DomainBed

  DomainBed is a suite to test domain generalization algorithms

  Language:Python1.4k293

• alexrame/fishr

  Official PyTorch implementation of the Fishr regularization for out-of-distribution generalization

  Language:Python817

• facebookresearch/InvariantRiskMinimization

  PyTorch code to run synthetic experiments.

  Language:Python40561

• ahujak/IB-IRM

  Language:Jupyter Notebook285

• hehengtao/AMP_GNN

  Language:Python71

• chang-cai/TaskCommMCR2

  Code for Multi-Device Task-Oriented Communication via Maximal Coding Rate Reduction

  101

• AGronowski/RFIB-Code

  Language:Python21

• google-research/google-research

  Google Research

  Language:Jupyter Notebook33.7k7.8k

• HsiangHsu/Fair-Projection

  Language:Jupyter Notebook53

• namratadeka/mmd-b-fair

  MMD-B-Fair: Learning Fair Representations with Statistical Testing (AISTATS 2023)

  Language:Jupyter Notebook4