milinzhang

milinzhang's Stars

• lucidrains/vit-pytorch

  Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

  Language:Python19.9k3k

• mauropv/RFID-Fingerprint2020

  Language:Jupyter Notebook51

• YilmazKadir/Segmentation_Losses

  Loss Functions in the Era of Semantic Segmentation: A Survey and Outlook

  Language:Python324

• chenyaofo/pytorch-cifar-models

  Pretrained models on CIFAR10/100 in PyTorch

  Language:Python30752

• karlstratos/doe

  Difference-of-Entropies (DoE) Estimator

  Language:Python244

• Linear95/TC-estimation

  Code for AISTATS 2023 paper - Estimating Total Correlation with Mutual Information Estimators

  Language:Jupyter Notebook141

• Linear95/CLUB

  Code for ICML2020 paper - CLUB: A Contrastive Log-ratio Upper Bound of Mutual Information

  Language:Jupyter Notebook30539

• qingguo666/FLO

  Tight Mutual Information Estimation With Contrastive Fenchel-Legendre Optimization

  Language:Jupyter Notebook112

• hongxin001/logitnorm_ood

  Official code for ICML 2022: Mitigating Neural Network Overconfidence with Logit Normalization

  Language:Python14114

• sungyubkim/MINE-Mutual-Information-Neural-Estimation-

  A pytorch implementation of MINE(Mutual Information Neural Estimation)

  Language:Jupyter Notebook32958

• gtegner/mine-pytorch

  Mutual Information Neural Estimation in Pytorch

  Language:Jupyter Notebook28454

• dragen1860/MAML-Pytorch

  Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)

  Language:Python2.3k420

• gmum/few-shot-hypernets-public

  Language:Jupyter Notebook2013

• yoshitomo-matsubara/split-beam

  [ICDCS 2023] SplitBeam: Effective and Efficient Beamforming in Wi-Fi Networks Through Split Computing

  Language:Shell61

• yaodongyu/TRADES

  TRADES (TRadeoff-inspired Adversarial DEfense via Surrogate-loss minimization)

  Language:Python511123

• hendrycks/robustness

  Corruption and Perturbation Robustness (ICLR 2019)

  Language:Python1k145

• NVlabs/DiffPure

  A new adversarial purification method that uses the forward and reverse processes of diffusion models to remove adversarial perturbations.

  Language:Python25432

• fra31/auto-attack

  Code relative to "Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks"

  Language:Python645112

• cmhcbb/attackbox

  Language:Jupyter Notebook5727

• DSE-MSU/DeepRobust

  A pytorch adversarial library for attack and defense methods on images and graphs

  Language:Python976189

• advboxes/AdvBox

  Advbox is a toolbox to generate adversarial examples that fool neural networks in PaddlePaddle、PyTorch、Caffe2、MxNet、Keras、TensorFlow and Advbox can benchmark the robustness of machine learning models. Advbox give a command line tool to generate adversarial examples with Zero-Coding.

  Language:Jupyter Notebook1.4k264

• martisak/dotnets

  Create simple drawings of neural networks using graphviz

  Language:Python23965

• kaixindelele/ChatPaper

  Use ChatGPT to summarize the arXiv papers. 全流程加速科研，利用chatgpt进行论文全文总结+专业翻译+润色+审稿+审稿回复

  Language:Python18.3k1.9k

• cleverhans-lab/cleverhans

  An adversarial example library for constructing attacks, building defenses, and benchmarking both

  Language:Jupyter Notebook6.2k1.4k

• bethgelab/foolbox

  A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX

  Language:Python2.7k425

• thu-ml/ares

  A Python library for adversarial machine learning focusing on benchmarking adversarial robustness.

  Language:Python47888

• BorealisAI/advertorch

  A Toolbox for Adversarial Robustness Research

  Language:Jupyter Notebook1.3k195

• AlbertMillan/adversarial-training-pytorch

  Implementation of adversarial training under fast-gradient sign method (FGSM), projected gradient descent (PGD) and CW using Wide-ResNet-28-10 on cifar-10. Sample code is re-usable despite changing the model or dataset.

  Language:Python377

• daattali/beautiful-jekyll

  ✨ Build a beautiful and simple website in literally minutes. Demo at https://beautifuljekyll.com

  Language:HTML5.3k16.1k

• uvaydovd/spectrum_sensing_stitching

  Language:Python6