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A Python library for adversarial machine learning focusing on benchmarking adversarial robustness.
Code relative to "Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks"
Codes for NeurIPS 2020 paper "Adversarial Weight Perturbation Helps Robust Generalization"
Advanced Statistical Computing at Vanderbilt University Medical Center's Department of Biostatistics
PyTorch implementation of ColorFool: Semantic Adversarial Colorization, CVPR2020
Codes for paper "Dynamic Efficient Adversarial Training Guided by Gradient Magnitude"
特征提取/数据降维:PCA、LDA、MDS、LLE、TSNE等降维算法的python实现
[ICLR 2020] A repository for extremely fast adversarial training using FGSM
PyTorch Implementation of Adversarial Training for Free!
Attacks Which Do Not Kill Training Make Adversarial Learning Stronger (ICML2020 Paper)
A Toy Implementation in Python of [FV12]
Port of Mdo's excellent theme to Hugo
Code for visualizing the loss landscape of neural nets
My personal notes
Code for ICLR2020 "Improving Adversarial Robustness Requires Revisiting Misclassified Examples"
Code for the paper "MMA Training: Direct Input Space Margin Maximization through Adversarial Training"
Package for fitting Gaussian Process Emulators to multiple output computer simulation results.
The simplest, fastest repository for training/finetuning medium-sized GPTs.
Methods to soundly verify deep neural networks
The devkit of the nuScenes dataset.
[NeurIPS '18] "Can We Gain More from Orthogonality Regularizations in Training Deep CNNs?" Official Implementation.
An Algorithm to Quantify Robustness of Recurrent Neural Networks
Repository of notes, code and notebooks in Python for the book Pattern Recognition and Machine Learning by Christopher Bishop
PyMC educational resources
A toolbox for skeleton-based action recognition.
RoboBEV: Towards Robust Bird's Eye View Perception under Common Corruption and Domain Shift
Towards Robust General Medical Image Segmentation
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.