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List of Papers on Adversarial Attack and Defense (AAD) in AI Models
Repo for papers to read on adversarial attack and defense techniques in the audio domain.
Implementation of Papers on Adversarial Examples
对抗样本
AI-Lancet, backdoor removal
A curated list of papers on adversarial machine learning (adversarial examples and defense methods).
Code relative to "Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks"
个人练习,自编码器及其变形(理论+实践)
Pytorch implementations of various types of autoencoders
A curated list of papers & resources on backdoor attacks and defenses in deep learning.
Linear regression was used to establish a linear relationship between blood glucose and time
特征提取/数据降维:PCA、LDA、MDS、LLE、TSNE等降维算法的python实现
Official PyTorch Implementation for DiRA: Discriminative, Restorative, and Adversarial Learning for Self-supervised Medical Image Analysis - CVPR 2022
Implementation of Grassman-Stiefel Eigenmaps manifold learning algorithm
Code for CVPR22 paper "Deep Unlearning via Randomized Conditionally Independent Hessians"
notes of machine learning algorithm derivation
Unofficial PyTorch implementation of Masked Autoencoders Are Scalable Vision Learners
Introduction to manifold learning - mathematical theory and applied python examples (Multidimensional Scaling, Isomap, Locally Linear Embedding, Spectral Embedding/Laplacian Eigenmaps)
一个拍照做题程序。输入一张包含数学计算题的图片,输出识别出的数学计算式以及计算结果。This is a mathematic expression recognition project.
Collection of scripts to aggregate image data for the purposes of training an NSFW Image Classifier
Collection of NSFW images URLs for the purposes of training an NSFW Image Classifier
哔哩哔哩 bilibili go-common
Lexical and syntax analysis for an SQL like language, which in turn generates the the parse tree for the given query.
Pytorch implementation of convolutional neural network visualization techniques
[ICLR 2022] Official repository for "Robust Unlearnable Examples: Protecting Data Against Adversarial Learning"
A PyTorch implementation of SimCLR based on ICML 2020 paper "A Simple Framework for Contrastive Learning of Visual Representations"
Must-read Papers on Textual Adversarial Attack and Defense
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.