qj1204

qj1204's Stars

• gomodule/redigo

  Go client for Redis

  Language:Go9.7k1.2k

• panjf2000/ants

  🐜🐜🐜 ants is the most powerful and reliable pooling solution for Go.

  Language:Go12.7k1.4k

• CVHub520/X-AnyLabeling

  Effortless data labeling with AI support from Segment Anything and other awesome models.

  Language:Python3.7k416

• HumanSignal/label-studio

  Label Studio is a multi-type data labeling and annotation tool with standardized output format

  Language:JavaScript18.2k2.3k

• dusty-nv/jetson-containers

  Machine Learning Containers for NVIDIA Jetson and JetPack-L4T

  Language:Python2.1k440

• TommyZihao/Label2Everything

  常见计算机视觉标注格式相互转换

  Language:Jupyter Notebook41988

• facebookresearch/DiT

  Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"

  Language:Python6k533

• shaguopohuaizhe/TSAA

  Language:Python305

• 1055373165/ShardKV

  Based on the MIT 6824 course lab framework, a high-performance, fault-tolerant distributed KV storage system based on the raft consensus algorithm is implemented to ensure the consistency and reliability of the system.

  Language:Go2

• 1055373165/KVRaft

  Distributed KV With Raft

  Language:Go2

• mao888/golang-guide

  「Golang学习+面试指南」一份涵盖大部分 Golang程序员所需要掌握的核心知识。准备 Golang面试，首选 GolangGuide！

  Language:Go2.3k326

• qj1204/gvb_server

  个人博客后端

  Language:Go1

• qj1204/ggcache-plus

  仿照groupcache框架，实现一个支持 HTTP、RPC 和服务注册发现的分布式kv缓存系统

  Language:Go1

• Alibaba-AAIG/Beyond-ImageNet-Attack

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

  Language:Python589

• Muzammal-Naseer/CDA

  Official repository for "Cross-Domain Transferability of Adversarial Perturbations" (NeurIPS 2019)

  Language:Python5711

• OmidPoursaeed/Generative_Adversarial_Perturbations

  Generative Adversarial Perturbations (CVPR 2018)

  Language:Python13323

• Akegarasu/lora-scripts

  LoRA & Dreambooth training scripts & GUI use kohya-ss's trainer, for diffusion model.

  Language:Python4.4k538

• ShiArthur03/ShiArthur03

  Language:MATLAB10.4k1.9k

• lstprjct/IDM-Activation-Script

  IDM Activation & Trail Reset Script

  Language:Batchfile9k1.3k

• richzhang/PerceptualSimilarity

  LPIPS metric. pip install lpips

  Language:Python3.6k497

• lfz/Guided-Denoise

  The winning submission for NIPS 2017: Defense Against Adversarial Attack of team TSAIL

  Language:Python22765

• anlthms/nips-2017

  NIPS 2017 - Adversarial Learning

  Language:Python336

• erbloo/dr_cvpr20

  Language:Jupyter Notebook243

• steven202/semantic_adv_via_dm

  [BMVC 2023] Semantic Adversarial Attacks via Diffusion Models

  Language:Python162

• ChicForX/advdiff_impl

  unformal implementation of advdiffuser

  Language:Python6

• Muzammal-Naseer/NRP

  Official repository for "A Self-supervised Approach for Adversarial Robustness" (CVPR 2020--Oral)

  Language:Python9517

• locuslab/smoothing

  Provable adversarial robustness at ImageNet scale

  Language:Python36075

• cihangxie/NIPS2017_adv_challenge_defense

  Mitigating Adversarial Effects Through Randomization

  Language:Python11620

• NVlabs/DiffPure

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

  Language:Python25132

• WindVChen/VCO-AP

  A novel physical adversarial attack tackling the Digital-to-Physical Visual Inconsistency problem.

  Language:Python10