所有小初高、大学PDF教材。

Source for https://fullstackdeeplearning.com

Build a Jekyll blog in minutes, without touching the command line.

Full Stack Deep Learning Online Course

A Toolbox for Adversarial Robustness Research

content for Udacity's cloud developer nanodegree

Code relative to "Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks"

Code for the paper "MMA Training: Direct Input Space Margin Maximization through Adversarial Training"

A booklet on machine learning systems design with exercises

Provably Robust Boosted Decision Stumps and Trees against Adversarial Attacks [NeurIPS 2019]

Code for FAB-attack

A curated list of awesome resources for adversarial examples in deep learning

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.

arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv

Evaluating quality of dimensionality reduction map with Wasserstein distances

EE227C (Spring 2018) Course page

Adversarially Robust Neural Network on MNIST.

LaTeX style for Python highlighting

A challenge to explore adversarial robustness of neural networks on MNIST.

A collection of design patterns/idioms in Python