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233boy

adv-attack

Adversarial attacks including DeepFool and C&W

adversarial_metric_attack

The code of "Adversarial Metric Attack for Person Re-identification"

adversarialattack

Implementing fgsm, deepfool and C&W_L2 attack using tensorflow 2.0

advgan_pytorch

a Pytorch implementation of the paper "Generating Adversarial Examples with Adversarial Networks" (advGAN).

advhat

AdvHat: Real-world adversarial attack on ArcFace Face ID system

at-cnn

Project page for our paper: Interpreting Adversarially Trained Convolutional Neural Networks

atoc_coma_pytorch

augmix

AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty

awesome-cbir-papers

📝Awesome and classical image retrieval papers

awesome-decision-tree-papers

A collection of research papers on decision, classification and regression trees with implementations.

awesome-iccv2019

ICCV2019最新录用情况

awesome-nas

A curated list of neural architecture search (NAS) resources.

awesome-offline-rl

An index of algorithms for offline reinforcement learning (offline-rl)

bayesian-adversarial-learning

box-world

Implementation of the Box-World environment from the paper "Relational Deep Reinforcement Learning"

build_lk_opticalflow

The purpose of this demo is to better understand the underlying implementation of single level optical flow and multi level optical flow with forward or inverse.

build_orb_featuredescriptor

The purpose of this demo is to better understand the underlying implementation of ORB.

bundleadjustmentwith_g-n

I write a simple Gaussian Newton method , and use Bundle Adjustment to optimize the pose.

causal-intervention-ae-wadvimg

causal-metarl

WIP implementation of https://arxiv.org/pdf/1901.08162.pdf

causalcity.github.io

cleverhans

An adversarial example library for constructing attacks, building defenses, and benchmarking both

code

Source Code for Go In Action examples

code-for-paper

codinginterviewchinese2

《剑指Offer》第二版源代码

competitive-emergent-communication

On Emergent Communication in Competitive Multi-Agent Teams, AAMAS 2020

convex_adversarial

A method for training neural networks that are provably robust to adversarial attacks.

darts

Differentiable architecture search for convolutional and recurrent networks

dcdi

Repository for "Differentiable Causal Discovery from Interventional Data"