Pinned Repositories
advertorch
A Toolbox for Adversarial Robustness Research
mma_training
Code for the paper "MMA Training: Direct Input Space Margin Maximization through Adversarial Training"
agile_grasp2
A ROS package to detect grasp poses in point clouds.
arxiv-latex-cleaner
arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv
DDP
Differential Dynamic Programming Solver
draw_convnet
theano_multi_gpu
cnn-moth-detection
theano_alexnet
Theano-based Alexnet
theano_multi_gpu
gwding's Repositories
gwding/draw_convnet
gwding/arxiv-latex-cleaner
arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv
gwding/advertorch
A Toolbox for Adversarial Robustness Research
gwding/AnalysisBySynthesis
Adversarially Robust Neural Network on MNIST.
gwding/auto-attack
Code relative to "Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks"
gwding/awesome-adversarial-examples-dl
A curated list of awesome resources for adversarial examples in deep learning
gwding/Awesome-pytorch-list
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
gwding/cloud-developer
content for Udacity's cloud developer nanodegree
gwding/cloud_dev_image_filter
gwding/course-gitbook
Full Stack Deep Learning Online Course
gwding/deepul
gwding/diffai
A system for training neural networks to be provably robust
gwding/dotfiles
gwding/ee227c.github.io
EE227C (Spring 2018) Course page
gwding/eval_dr_by_wsd
Evaluating quality of dimensionality reduction map with Wasserstein distances
gwding/fab-attack
Code for FAB-attack
gwding/gwding.github.io
Build a Jekyll blog in minutes, without touching the command line.
gwding/interval-bound-propagation
gwding/machine-learning-systems-design
A booklet on machine learning systems design with exercises
gwding/mma_training
Code for the paper "MMA Training: Direct Input Space Margin Maximization through Adversarial Training"
gwding/mnist_challenge
A challenge to explore adversarial robustness of neural networks on MNIST.
gwding/nd9990-c3-microservices-exercises
gwding/provably-robust-boosting
Provably Robust Boosted Decision Stumps and Trees against Adversarial Attacks [NeurIPS 2019]
gwding/python-latex-highlighting
LaTeX style for Python highlighting
gwding/python-patterns
A collection of design patterns/idioms in Python
gwding/simple-node
gwding/stable-diffusion
gwding/the-incredible-pytorch
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
gwding/travis_env_var_exercise
gwding/website
Source for https://fullstackdeeplearning.com