hsien999

hsien999's Stars

• zhayujie/chatgpt-on-wechat

  基于大模型搭建的聊天机器人，同时支持 微信公众号、企业微信应用、飞书、钉钉 等接入，可选择GPT3.5/GPT-4o/GPT-o1/ Claude/文心一言/讯飞星火/通义千问/ Gemini/GLM-4/Claude/Kimi/LinkAI，能处理文本、语音和图片，访问操作系统和互联网，支持基于自有知识库进行定制企业智能客服。

  Language:Python29.9k7.9k

• wzpan/BeamerStyleSlides

  🌈Beamer风格的幻灯片模板集。包含了PowerPoint和Keynote两套格式。

  Language:TeX1k167

• AI-secure/stAdv-Spatially-Transformed-Adversarial-Examples-

  Official Implementation of paper https://arxiv.org/abs/1801.02612

  Language:Python124

• deepinsight/insightface

  State-of-the-art 2D and 3D Face Analysis Project

  Language:Python22.8k5.3k

• ayberkydn/stadv-torch

  PyTorch implementation of Spatially Transformed Adversarial Examples

  Language:Python224

• jacobgil/pytorch-grad-cam

  Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

  Language:Python10.2k1.5k

• SCLBD/MCG-Blackbox

  The MCG black-box attack framework published in TPAMI 2022

  Language:Python322

• CGCL-codes/AMT-GAN

  The official implementation of our CVPR 2022 paper "Protecting Facial Privacy: Generating Adversarial Identity Masks via Style-robust Makeup Transfer".

  Language:Python7512

• Harry24k/adversarial-attacks-pytorch

  PyTorch implementation of adversarial attacks [torchattacks]

  Language:Python1.8k345

• fahadshamshad/Clip2Protect

  [CVPR 2023] Official repository of paper titled "CLIP2Protect: Protecting Facial Privacy using Text-Guided Makeup via Adversarial Latent Search".

  Language:Python9611

• koushiksrivats/face_attribute_attack

  Official implementation of the paper "Evading Forensic Classifiers with Attribute-Conditioned Adversarial Faces" (CVPR 23)

  Language:Python375

• yudaocode/SpringBoot-Labs

  一个涵盖六个专栏：Spring Boot 2.X、Spring Cloud、Spring Cloud Alibaba、Dubbo、分布式消息队列、分布式事务的仓库。希望胖友小手一抖，右上角来个 Star，感恩 1024

  Language:Java19k6k

• xkcoding/spring-boot-demo

  🚀一个用来深入学习并实战 Spring Boot 的项目。

  Language:Java32.9k10.8k

• Shawn-Shan/fawkes

  Fawkes, privacy preserving tool against facial recognition systems. More info at https://sandlab.cs.uchicago.edu/fawkes

  Language:Python5.2k480

• TencentYoutuResearch/Adv-Makeup

  This project is an implementation of our IJCAI 2021 paper "Adv-Makeup: A New Imperceptible and Transferable Attack on Face Recognition", we propose a novel attacking form for the face recognition to synthesize the transferable and imperceptible adversarial examples.

  Language:Python6812

• tokaka22/GMAA

  Language:Python366

• phizaz/diffae

  Official implementation of Diffusion Autoencoders

  Language:Jupyter Notebook838128

• zhongyang219/TrafficMonitor

  这是一个用于显示当前网速、CPU及内存利用率的桌面悬浮窗软件，并支持任务栏显示，支持更换皮肤。

  Language:C++34.4k3.2k

• qishibo/AnotherRedisDesktopManager

  🚀🚀🚀A faster, better and more stable Redis desktop manager [GUI client], compatible with Linux, Windows, Mac.

  Language:JavaScript30.2k2.5k

• apache/shardingsphere-elasticjob

  Distributed scheduled job

  Language:Java8.1k3.3k

• ytyht226/taskflow

  taskflow是一款轻量、简单易用、可灵活扩展的通用任务编排框架，基于有向无环图(DAG)的方式实现，框架提供了组件复用、同步/异步编排、条件判断、分支选择等能力，可以根据不同的业务场景对任意的业务流程进行编排

  Language:Java44579

• ZhengyuZhao/AI-Security-and-Privacy-Events

  A curated list of academic events on AI Security & Privacy

  12715

• apache/rocketmq

  Apache RocketMQ is a cloud native messaging and streaming platform, making it simple to build event-driven applications.

  Language:Java21.1k11.6k

• lukas-krecan/ShedLock

  Distributed lock for your scheduled tasks

  Language:Java3.6k507

• azkaban/azkaban

  Azkaban workflow manager.

  Language:Java4.4k1.6k

• JCTools/JCTools

  Language:Java3.5k564

• hsien999/rpc-framework

  a simple rpc-framework

  Language:Java2

• ltsopensource/light-task-scheduler

  Distributed Scheduled Job Framework

  Language:Java3k1.1k

• jobrunr/jobrunr

  An extremely easy way to perform background processing in Java. Backed by persistent storage. Open and free for commercial use.

  Language:Java2.3k225

• buger/goreplay

  GoReplay is an open-source tool for capturing and replaying live HTTP traffic into a test environment in order to continuously test your system with real data. It can be used to increase confidence in code deployments, configuration changes and infrastructure changes.

  Language:Go18.5k13