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Spring Cloud Alibaba provides a one-stop solution for application development for the distributed solutions of Alibaba middleware.
🔥 官方推荐 🔥 高度仿制大麦网售票系统，使用 SpringCloudAlibaba、Kafka、Redis、Sentinel、ElasticSearch、ShardingSphere 等架构，实现 从抢票到生成订单完成支付 的整个流程，并包含各种高并发难题的实际落地解决方案。是面试、就业、提高技术的不二选择！
☁ Tencent Cloud IM Server SDK in Java | 腾讯云 IM 服务端 SDK Java 版
Official Implementation (PyTorch) of "Point Cloud Augmentation with Weighted Local Transformations", ICCV 2021
Official Implementation (PyTorch) of "SageMix: Saliency-Guided Mixup for Point Clouds", NeurIPS 2022
official Pytorch implementation of paper 'Improving transferability of 3D adversarial attacks with scale and shear transformations', Information Sciences, 2024
黑马点评项目优化，新增消息队列RabbitMQ，令牌桶限流实现优惠券秒杀，用户登录限流(redis实现滑动窗口)等功能
AdvPC: Transferable Adversarial Perturbations on 3D Point Clouds (ECCV 2020)
Learning to Transform Dynamically for Better Adversarial Transferability (CVPR 2024)
A list of recent adversarial attack and defense papers (including those on large language models)
Official implementation of the following paper: Eidos: Efficient, Imperceptible Adversarial 3D Point Clouds (SETTA 2024)
The code for AAAI2023 (Generating Transferable 3D Adversarial Point Cloud via Random Perturbation Factorization)
PointFlow : 3D Point Cloud Generation with Continuous Normalizing Flows
This repository contains the official code for the CVPR 2023 paper ``Adversarial Counterfactual Visual Explanations''
A simple and accurate method to fool deep neural networks
The code of "Hide in Thicket: Generating Imperceptible and Rational Adversarial Perturbations on 3D Point Clouds" CVPR 2024
[CVPR 2022] Shape-invariant Adversarial Point Clouds
A PyTorch implementation of Dynamic Graph CNN for Learning on Point Clouds (DGCNN)
自己的学习笔记。包含：个人秋招经历、🐂客面经问题按照频率总结、Java一系列知识、数据库、分布式、微服务、前端、技术面试、每日文章等(持续更新)
rendering (optionally temporal) point clouds using Mitsuba2
A C++ & Python viewer for 3D data like meshes and point clouds
Robust Adversarial Objects against Deep Learning Models
Minimal Adversarial Examples for Deep Learning on 3D Point Clouds (ICCV 2021)