kemoulee

kemoulee's Stars

• OODRobustBench/OODRobustBench

  OODRobustBench: a Benchmark and Large-Scale Analysis of Adversarial Robustness under Distribution Shift. ICML 2024 and ICLRW-DMLR 2024

  Language:Python171

• huytransformer/Awesome-Out-Of-Distribution-Detection

  Out-of-distribution detection, robustness, and generalization resources. The repository contains a professionally curated list of papers, tutorials, books, videos, articles and open-source libraries etc

  70064

• ShiYunyi/Meta-Weight-Net_Code-Optimization

  A new code framework that uses pytorch to implement meta-learning, and takes Meta-Weight-Net as an example.

  Language:Python5714

• HighwayWu/DeepFakeDefenders

  A prize winning solution for Multimedia Deepfake Detection competition.

  Language:Python969

• jiaxiaojunQAQ/FGSM-PGK

  Improving fast adversarial training with prior-guided knowledge (TPAMI2024)

  Language:Python355

• tml-epfl/understanding-fast-adv-training

  Understanding and Improving Fast Adversarial Training [NeurIPS 2020]

  Language:Python9412

• jiaxiaojunQAQ/FGSM-PGI

  Code for Prior-Guided Adversarial Initialization for Fast Adversarial Training (ECCV2022)

  Language:Python231

• dair-ai/ml-visuals

  🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

  13.3k1.4k

• WeiHuang05/Awesome-Feature-Learning-in-Deep-Learning-Thoery

  Welcome to the Awesome Feature Learning in Deep Learning Thoery Reading Group! This repository serves as a collaborative platform for scholars, enthusiasts, and anyone interested in delving into the fascinating world of feature learning within deep learning theory.

  1408

• RobustBench/robustbench

  RobustBench: a standardized adversarial robustness benchmark [NeurIPS 2021 Benchmarks and Datasets Track]

  Language:Python65599

• tomgoldstein/loss-landscape

  Code for visualizing the loss landscape of neural nets

  Language:Python2.8k396

• marcellodebernardi/loss-landscapes

  Approximating neural network loss landscapes in low-dimensional parameter subspaces for PyTorch

  Language:Python29552

• davda54/sam

  SAM: Sharpness-Aware Minimization (PyTorch)

  Language:Python1.7k197

• Trusted-AI/adversarial-robustness-toolbox

  Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams

  Language:Python4.8k1.2k

• DingfanChen/RelaxLoss

  Official implementation of "RelaxLoss: Defending Membership Inference Attacks without Losing Utility" (ICLR 2022)

  Language:Python457

• arppy/Neural-Cleanse-Pytorch

  competition

  Language:Python2

• SCLBD/BackdoorBench

  Language:Jupyter Notebook39061

• Harry24k/adversarial-attacks-pytorch

  PyTorch implementation of adversarial attacks [torchattacks]

  Language:Python1.9k348

• MadryLab/robustness

  A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.

  Language:Jupyter Notebook912181

• SJShin-AI/LCMat

  Official PyTorch implementation of "Loss-Curvature Matching for Dataset Selection and Condensation" (AISTATS 2023)

  Language:Python201

• binary-husky/gpt_academic

  为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, moss等。

  Language:Python64.5k8k

• ChaojianYu/Robust-Weight-Perturbation

  Implementation for <Robust Weight Perturbation for Adversarial Training> in IJCAI'22.

  Language:Python142

• maziarraissi/Applied-Deep-Learning

  Applied Deep Learning Course

  3.1k660

• subeeshvasu/Awesome-Learning-with-Label-Noise

  A curated list of resources for Learning with Noisy Labels

  2.6k352

• songhwanjun/Awesome-Noisy-Labels

  A Survey

  53831

• zepinglee/gbt7714-bibtex-style

  GB/T 7714-2015 BibTeX Style

  Language:TeX1.2k198