gwding Goto Github PK
Name: Gavin Weiguang Ding
Type: User
Company: Ecopia AI
Bio: Researcher and Engineer at Ecopia AI
Location: Canada
Blog: http://gwding.github.io/
Name: Gavin Weiguang Ding
Type: User
Company: Ecopia AI
Bio: Researcher and Engineer at Ecopia AI
Location: Canada
Blog: http://gwding.github.io/
A Toolbox for Adversarial Robustness Research
A ROS package to detect grasp poses in point clouds.
Adversarially Robust Neural Network on MNIST.
arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv
Code relative to "Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks"
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.
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
A PyTorch implementation of the NIPS 2017 paper "Dynamic Routing Between Capsules".
CLEVER (Cross-Lipschitz Extreme Value for nEtwork Robustness) is a robustness metric for deep neural networks
content for Udacity's cloud developer nanodegree
Code for the book "Mastering OpenCV with Practical Computer Vision Projects" by Packt Publishing 2012.
Full Stack Deep Learning Online Course
Differential Dynamic Programming Solver
MIT Deep Learning Book in PDF format
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
A system for training neural networks to be provably robust
Deep Learning for NLP resources
A planning, control, and analysis toolbox for nonlinear dynamical systems. Please see the WIKI for documentation.
EE227C (Spring 2018) Course page
Evaluating quality of dimensionality reduction map with Wasserstein distances
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
Code for FAB-attack
A library for efficient similarity search and clustering of dense vectors.
Kalman filtering and optimal estimation library in Python. Kalman filter, Extended Kalman filter, Unscented Kalman filter, g-h, least squares, H Infinity, smoothers, and more. Has companion book 'Kalman and Bayesian Filters in Python'.
Python toolbox to create adversarial examples that fool neural networks
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.