wrx812 Goto Github PK

advml-traffic-sign

Code for the 'DARTS: Deceiving Autonomous Cars with Toxic Signs' paper

aix360

Interpretability and explainability of data and machine learning models

at-cnn

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

automold--road-augmentation-library

This library augments road images to introduce various real world scenarios that pose challenges for training neural networks of Autonomous vehicles. Automold is created to train CNNs in specific weather and road conditions.

awesome-machine-learning-interpretability

A curated list of awesome machine learning interpretability resources.

bayesian-adversarial-learning

bayesian-neural-networks

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

coder2gwy

互联网首份程序员考公指南，由3位已经进入体制内的前大厂程序员联合献上。

debar

This repository contains the implementation and the evaluation of our ESEC/FSE 2020 paper: Detecting Numerical Bugs in Neural Network Architectures.

deepconcolic

Concolic Testing for Deep Neural Networks

deepfault

deepxplore

DeepXplore code release

dissect

Code for the Proceedings of the National Academy of Sciences 2020 article, "Understanding the Role of Individual Units in a Deep Neural Network"

fakefynder-hackathon-for-good-2019

This repository contains our POC for a website which can easily check videos for manipulated areas. It was part of the Hackathon for Good in the Hague, 2019.

foggy-cyclegan

Code for MSc Thesis: Simulating Weather Conditions on Digital Images, uses a modified CycleGAN model to synthesize fog on clear images

forgery_localization_hled

Implementation of "Hybrid LSTM and Encoder-Decoder Architecture for Detection of Image Forgeries" paper.

ganfingerprints

The official Tensorflow implementation for ICCV'19 paper 'Attributing Fake Images to GANs: Learning and Analyzing GAN Fingerprints'

grakel

A scikit-learn compatible library for graph kernels

graph2nn

code for paper "Graph Structure of Neural Networks"

hfc

Implementation for the paper (CVPR Oral): High Frequency Component Helps Explain the Generalization of Convolutional Neural Networks

imbalanced-semi-self

[NeurIPS 2020] Semi-Supervision (Unlabeled Data) & Self-Supervision Improve Class-Imbalanced / Long-Tailed Learning

literature-on-dnn-verification-and-testing

m_testing_adversatial_sample

mantranet

ManTra-Net: Manipulation Tracing Network For Detection And Localization of Image Forgeries With Anomalous Features

metaattack_iclr2020

models

Models and examples built with TensorFlow

multirobustness

Code for the paper "Adversarial Training and Robustness for Multiple Perturbations", NeurIPS 2019

proper-interpretability

Codes for reproducing the experimental results in "Proper Network Interpretability Helps Adversarial Robustness in Classification", published at ICML 2020

regnet

Pytorch implementation of network design paradigm described in the paper "Designing Network Design Spaces"

ren