junzhouye

junzhouye's Stars

• tanimutomo/cifar10-c-eval

  Testing a model performance for CIFAR10-C

  Language:Python347

• eth-sri/fastsmt

  Learning to Solve SMT Formulas Fast

  Language:SMT8518

• GATECH-EIC/Robust-Scratch-Ticket

  [NeurIPS 2021] "Drawing Robust Scratch Tickets: Subnetworks with Inborn Robustness Are Found within Randomly Initialized Networks" by Yonggan Fu, Qixuan Yu, Yang Zhang, Shang Wu, Xu Ouyang, David Cox, Yingyan Lin

  Language:Python13

• Fafa-DL/Awesome-Backbones

  Integrate deep learning models for image classification | Backbone learning/comparison/magic modification project

  Language:Python1.6k257

• labmlai/annotated_deep_learning_paper_implementations

  🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

  Language:Python57.2k5.8k

• quarkusio/quarkus-quickstarts

  Quarkus quickstart code

  Language:Java2k1.5k

• coinse/arachne

  Language:Python8

• nnrepair/nnrepair

  Language:Java26

• MorvanZhou/NLP-Tutorials

  Simple implementations of NLP models. Tutorials are written in Chinese on my website https://mofanpy.com

  Language:Python917313

• delip/PyTorchNLPBook

  Code and data accompanying Natural Language Processing with PyTorch published by O'Reilly Media https://amzn.to/3JUgR2L

  Language:Jupyter Notebook2k810

• turned2670/DLFuzz

  DLFuzz: An Efficient Fuzzing Testing Framework of Deep Learning Systems

  Language:Python5222

• Mark12Ding/FAME

  Code for Motion-aware Contrastive Video Representation Learning via Foreground-background Merging (CVPR 2022)

  Language:Python455

• DIG-Beihang/AISafety

  Language:Python7426

• hbzju/PiCO

  PyTorch implementation of PiCO https://arxiv.org/abs/2201.08984

  Language:Python21136

• alibaba/AliceMind

  ALIbaba's Collection of Encoder-decoders from MinD (Machine IntelligeNce of Damo) Lab

  Language:Python2k293

• cuishuhao/BNM

  code of Towards Discriminability and Diversity: Batch Nuclear-norm Maximization under Label Insufficient Situations (CVPR2020 oral)

  Language:Python26632

• Alibaba-AAIG/Beyond-ImageNet-Attack

  Beyond imagenet attack (accepted by ICLR 2022) towards crafting adversarial examples for black-box domains.

  Language:Python588

• mahmoud/awesome-python-applications

  💿 Free software that works great, and also happens to be open-source Python.

  Language:Jupyter Notebook16.8k2.7k

• Testing4AI/RobOT

  Code release for RobOT (ICSE'21)

  Language:Python148

• peikexin9/deepxplore

  DeepXplore code release

  Language:Python395145

• joeat1/GNN_note

  图神经网络整理

  54683

• LYuhang/GNN_Review

  GNN综述阅读报告

  Language:Jupyter Notebook884214

• haizhongzheng/ATTA

  ATTA (Efficient Adversarial Training with Transferable Adversarial Examples)

  Language:Python355

• cuizhenjie/software-engineering-document

  软件工程常用文档模板及示例：可行性分析报告、开发计划、需求分析文档、概要设计文档、详细设计文档、用户操作手册、测试计划、测试分析报告、开发进度报告、项目开发总结报告、软件维护手册等

  2.2k625

• CUAI/Intermediate-Level-Attack

  [ICCV 2019] Enhancing Adversarial Example Transferability with an Intermediate Level Attack (https://arxiv.org/abs/1907.10823)

  Language:Python768

• binzhouchn/masr

  中文语音识别系列，读者可以借助它快速训练属于自己的中文语音识别模型，或直接使用预训练模型测试效果。

  Language:Python27142

• yang123qwe/end2end_chinese_speech_recognition

  端到端中文语音识别

  Language:Python8528

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

  Understanding and Improving Fast Adversarial Training [NeurIPS 2020]

  Language:Python9512

• facebookresearch/moco

  PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722

  Language:Python4.8k795

• hannxu123/fair_robust

  Language:Python102