aam-at Goto Github PK
Name: Alexander Matyasko
Type: User
Company: Singapore Institute of Technology
Location: Singapore
Name: Alexander Matyasko
Type: User
Company: Singapore Institute of Technology
Location: Singapore
Python library for adversarial machine learning (evasion, extraction, poisoning, verification, certification) with attacks and defences for neural networks, logistic regression, decision trees, SVM, gradient boosted trees, Gaussian processes and more with multiple framework support
A utility package to collect various Icon Fonts and propertize them within Emacs.
This library adds LatexMk support to AUCTeX.
Directory bookmarks for the shell
A challenge to explore adversarial robustness of neural networks on CIFAR10.
A library for benchmarking vulnerability to adversarial examples (auto upgrade to tensorflow 2.0)
This repository is the official implementation of https://arxiv.org/abs/2106.01538
Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.
Dotfiles
Feature Scattering Adversarial Training
A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX
Your AI second brain. Get answers to your questions, whether they be online or in your own notes. Use online AI models (e.g gpt4) or private, local LLMs (e.g llama3). Self-host locally or use our cloud instance. Access from Obsidian, Emacs, Desktop app, Web or Whatsapp.
A powerful white-box adversarial attack that exploits knowledge about the geometry of neural networks to find minimal adversarial perturbations without doing gradient descent
Magit commit with help of gpt
Reference implementation of "Margin Maximization for Robust Classification using Deep Learning"
A challenge to explore adversarial robustness of neural networks on MNIST.
A graphical frontend for exploring your org-roam Zettelkasten
Emacs package that helps org-mode users (re)discover similar documents
plugin-vundle port to neobundle.
Machine Learning with Robustness
Demo software based on the RobustMMLL library
A community-driven Emacs distribution - The best editor is neither Emacs nor Vim, it's Emacs *and* Vim!
Computation using data flow graphs for scalable machine learning
Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It can use GPUs and perform efficient symbolic differentiation.
TRADES (TRadeoff-inspired Adversarial DEfense via Surrogate-loss minimization)
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.