robustness
There are 558 repositories under robustness topic.
microsoft/promptbench
A unified evaluation framework for large language models
BorealisAI/advertorch
A Toolbox for Adversarial Robustness Research
yfzhang114/Generalization-Causality
关于domain generalization，domain adaptation，causality，robutness，prompt，optimization，generative model各式各样研究的阅读笔记
hendrycks/robustness
Corruption and Perturbation Robustness (ICLR 2019)
Jingkang50/OpenOOD
Benchmarking Generalized Out-of-Distribution Detection
huytransformer/Awesome-Out-Of-Distribution-Detection
Out-of-distribution detection, robustness, and generalization resources. The repository contains a curated list of papers, tutorials, books, videos, articles and open-source libraries etc
jxzhangjhu/Awesome-LLM-Uncertainty-Reliability-Robustness
Awesome-LLM-Robustness: a curated list of Uncertainty, Reliability and Robustness in Large Language Models
utiasDSL/safe-control-gym
PyBullet CartPole and Quadrotor environments—with CasADi symbolic a priori dynamics—for learning-based control and RL
weijiaheng/Advances-in-Label-Noise-Learning
A curated (most recent) list of resources for Learning with Noisy Labels
MadryLab/photoguard
Raising the Cost of Malicious AI-Powered Image Editing
hendrycks/natural-adv-examples
A Harder ImageNet Test Set (CVPR 2021)
pterhoer/FaceImageQuality
Code and information for face image quality assessment with SER-FIQ
EnnengYang/Awesome-Model-Merging-Methods-Theories-Applications
Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities. arXiv:2408.07666.
YuejiangLIU/awesome-source-free-test-time-adaptation
Test-time Adaptation, Test-time Training and Source-free Domain Adaptation
diffusion-classifier/diffusion-classifier
Diffusion Classifier leverages pretrained diffusion models to perform zero-shot classification without additional training
ChandlerBang/awesome-graph-attack-papers
Adversarial attacks and defenses on Graph Neural Networks.
MinghuiChen43/awesome-trustworthy-deep-learning
A curated list of trustworthy deep learning papers. Daily updating...
bethgelab/model-vs-human
Benchmark your model on out-of-distribution datasets with carefully collected human comparison data (NeurIPS 2021 Oral)
alibaba/easyrobust
EasyRobust: an Easy-to-use library for state-of-the-art Robust Computer Vision Research with PyTorch.
clovaai/assembled-cnn
Tensorflow implementation of "Compounding the Performance Improvements of Assembled Techniques in a Convolutional Neural Network"
hbaniecki/adversarial-explainable-ai
💡 Adversarial attacks on explanations and how to defend them
Verified-Intelligence/auto_LiRPA
auto_LiRPA: An Automatic Linear Relaxation based Perturbation Analysis Library for Neural Networks and General Computational Graphs
Verified-Intelligence/alpha-beta-CROWN
alpha-beta-CROWN: An Efficient, Scalable and GPU Accelerated Neural Network Verifier (winner of VNN-COMP 2021, 2022, 2023, and 2024)
ldkong1205/RoboDepth
[NeurIPS 2023] RoboDepth: Robust Out-of-Distribution Depth Estimation under Corruptions
hendrycks/ss-ood
Self-Supervised Learning for OOD Detection (NeurIPS 2019)
hendrycks/imagenet-r
ImageNet-R(endition) and DeepAugment (ICCV 2021)
modestyachts/ImageNetV2
A new test set for ImageNet
avilum/linqit
Extend python lists operations using .NET's LINQ syntax for clean and fast coding.
wxjiao/Is-ChatGPT-A-Good-Translator
A preliminary evaluation of ChatGPT/GPT-4 for machine translation.
hugochan/IDGL
Code & data accompanying the NeurIPS 2020 paper "Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddings".
mariodoebler/test-time-adaptation
A repository and benchmark for online test-time adaptation.
jiachens/ModelNet40-C
Repo for "Benchmarking Robustness of 3D Point Cloud Recognition against Common Corruptions" https://arxiv.org/abs/2201.12296
fiddler-labs/fiddler-auditor
Fiddler Auditor is a tool to evaluate language models.
bethgelab/robust-detection-benchmark
Code, data and benchmark from the paper "Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming" (NeurIPS 2019 ML4AD)
ytongbai/ViTs-vs-CNNs
[NeurIPS 2021]: Are Transformers More Robust Than CNNs? (Pytorch implementation & checkpoints)
ashafahi/free_adv_train
Official TensorFlow Implementation of Adversarial Training for Free! which trains robust models at no extra cost compared to natural training.