Yeez-lee

Yeez-lee's Stars

• THUDM/CodeGeeX

  CodeGeeX: An Open Multilingual Code Generation Model (KDD 2023)

  Language:Python8.3k88222616

• hila-chefer/Transformer-Explainability

  [CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.

  Language:Jupyter Notebook1.8k2163242

• sail-sg/poolformer

  PoolFormer: MetaFormer Is Actually What You Need for Vision (CVPR 2022 Oral)

  Language:Python1.3k2249117

• bigcode-project/bigcode-evaluation-harness

  A framework for the evaluation of autoregressive code generation language models.

  Language:Python86912151225

• xxxnell/how-do-vits-work

  (ICLR 2022 Spotlight) Official PyTorch implementation of "How Do Vision Transformers Work?"

  Language:Python80874379

• chuanyangjin/fast-DiT

  Fast Diffusion Models with Transformers

  Language:Python773615100

• yaodongyu/TRADES

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

  Language:Python5261028124

• haofanwang/Score-CAM

  Official implementation of Score-CAM in PyTorch

  Language:Python41062966

• magic-research/Dataset_Quantization

  [ICCV2023] Dataset Quantization

  Language:Python25671418

• inspire-group/adv-patch-paper-list

  A paper list for localized adversarial patch research

  1434010

• yikun2019/PENCIL

  PyTorch implementation of Probabilistic End-to-end Noise Correction for Learning with Noisy Labels, CVPR 2019.

  Language:Python1393920

• VILA-Lab/SRe2L

  (NeurIPS 2023 spotlight) Large-scale Dataset Distillation/Condensation, 50 IPC (Images Per Class) achieves the highest 60.8% on original ImageNet-1K val set.

  Language:Python12571718

• ZhengyuZhao/TransferAttackEval

  Revisiting Transferable Adversarial Images (arXiv)

  Language:Python1183911

• jiaxiaojunQAQ/LAS-AT

  Code for LAS-AT: Adversarial Training with Learnable Attack Strategy (CVPR2022)

  Language:Python1142510

• KentoNishi/Augmentation-for-LNL

  [CVPR 2021] Code for "Augmentation Strategies for Learning with Noisy Labels".

  Language:Python1136513

• Berry-Wu/Visualization

  visualization：filter、feature map、attention map、image-mask、grad-cam、human keypoint、guided-backpro

  Language:Python105127

• inspire-group/hydra

  Code and checkpoints of compressed networks for the paper titled "HYDRA: Pruning Adversarially Robust Neural Networks" (NeurIPS 2020) (https://arxiv.org/abs/2002.10509).

  Language:Python906724

• VITA-Group/ViT-Anti-Oversmoothing

  [ICLR 2022] "Anti-Oversmoothing in Deep Vision Transformers via the Fourier Domain Analysis: From Theory to Practice" by Peihao Wang, Wenqing Zheng, Tianlong Chen, Zhangyang Wang

  Language:Python77997

• k4black/codebleu

  Pip compatible CodeBLEU metric implementation available for linux/macos/win

  Language:Python7211211

• huanranchen/DiffusionClassifier

  Official code implement of Robust Classification via a Single Diffusion Model

  Language:Python67243

• zjfheart/Geometry-aware-Instance-reweighted-Adversarial-Training

  the paper "Geometry-aware Instance-reweighted Adversarial Training" ICLR 2021 oral

  Language:Python59268

• FutureXiang/Diffusion

  Minimal multi-gpu implementation of Diffusion Models with Classifier-Free Guidance (CFG)

  Language:Python55465

• alinlab/consistency-adversarial

  Consistency Regularization for Adversarial Robustness (AAAI 2022)

  Language:Python52620

• GUOShuxuan/expandnets

  Official implementation of ExpandNets (NeurIPS2020)

  Language:Python37246

• GATECH-EIC/Patch-Fool

  [ICLR 2022] "Patch-Fool: Are Vision Transformers Always Robust Against Adversarial Perturbations?" by Yonggan Fu, Shunyao Zhang, Shang Wu, Cheng Wan, and Yingyan (Celine) Lin.

  Language:Python321010

• deeplearning-wisc/vit-spurious-robustness

  Language:Python24214

• dwang181/active-mixup

  Code for Active Mixup in 2020 CVPR

  Language:Python22442

• val-iisc/NuAT

  Towards Efficient and Effective Adversarial Training, NeurIPS 2021

  Language:Python171341

• nutellamok/advrush

  Official Code for AdvRush: Searching for Adversarially Robust Neural Architectures (ICCV '21)

  Language:Python11123

• ShreyasMalakarjunPatil/PHEW

  Language:Python4101