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Python library for adversarial machine learning, attacks and defences for neural networks, logistic regression, decision trees, SVM, gradient boosted trees, Gaussian processes and more with multiple framework support
Algorithms for outlier, adversarial and drift detection
An open autonomous driving platform
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Efficient Robustness Verification for ReLU networks (DEPRECATED, don't use, see description)
Codes for reproducing the robustness evaluation scores in “Evaluating the Robustness of Neural Networks: An Extreme Value Theory Approach,” ICLR 2018
Codes for reproducing the experimental results in "CNN-Cert: An Efficient Framework for Certifying Robustness of Convolutional Neural Networks", published at AAAI 2019
CROWN: A Neural Network Verification Framework for Networks with General Activation Functions
Some work of Andrew Ng's course on Coursera
Python implementation of DeepRED
A certifiable defense against adversarial examples by training neural networks to be provably robust
ETH Robustness Analyzer for Deep Neural Networks
Code repository for our paper "Failing Loudly: An Empirical Study of Methods for Detecting Dataset Shift": https://arxiv.org/abs/1810.11953
Compositional falsification framework for cyber-pysical systems with machine learning components
Lime: Explaining the predictions of any machine learning classifier
A challenge to explore adversarial robustness of neural networks on MNIST.
Visualizer for neural network, deep learning and machine learning models
Toolbox for software dependability engineering of artificial neural networks
Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples
An Algorithm to Quantify Robustness of Recurrent Neural Networks
pytorch implementation of "Distilling a Neural Network Into a Soft Decision Tree"
Implementation of SqueezeSegV2, Improved Model Structure and Unsupervised Domain Adaptation for Road-Object Segmentation from a LiDAR Point Cloud
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.