xjtu1025 Goto Github PK

afl

american fuzzy lop (copy of the source code for easy access)

anchor

Code for "High-Precision Model-Agnostic Explanations" paper

ctdroid

The corpus of collected blogs and their analyzing results

dapasa

datasciencecoursera

This is my repo of datasciencecoursera

deep-learning-papers-reading-roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

explaining-dl

faldroid

gat

Graph Attention Networks (https://arxiv.org/abs/1710.10903)

gefdroid

graphembedding

Implementation and experiments of graph embedding algorithms.deep walk,LINE(Large-scale Information Network Embedding),node2vec,SDNE(Structural Deep Network Embedding),struc2vec

interpretation2adversary

Adversarial learning by utilizing model interpretation

l2x

lime

Lime: Explaining the predictions of any machine learning classifier

lore

Lore makes machine learning approachable for Software Engineers and maintainable for Machine Learning Researchers

lore-1

LOcal Rule-based Exlanations

myfaldroid

nettack

Implementation of the paper "Adversarial Attacks on Neural Networks for Graph Data".

programmingassignment2

Repository for Programming Assignment 2 for R Programming on Coursera

r

reat

PyTorch code for WWW 19 paper: On Attribution of Recurrent Neural Network Predictions via Additive Decomposition

shap

A unified approach to explain the output of any machine learning model.

wbtas2019

xai

Genetic programming method for explaining complex black-box models