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aequitas

Aequitas, a directed fairness testing framework machine learning models.

appaisecurity

Robustness of on-device Models: AdversarialAttack to Deep Learning Models on Android Apps

artifact

asl

Official Pytorch Implementation of: "Asymmetric Loss For Multi-Label Classification"(2020) paper

awesome-ml-testing

Awesome material(papers, tools, etc.) about testing machine learning system, including deep learning system.

awesome-resources-for-research

A collection of awesome and useful resources for research.

awesome-se-for-ai

awesome-split-keyboards

A collection of ergonomic split keyboards ⌨

biggan-pytorch

The author's officially unofficial PyTorch BigGAN implementation.

castlelab.github.io

Homepage of CASTLE Research Group

ccf-deadlines

⏰ CCF recommendation conference Deadline Countdowns / Please star this project, thanks~

clang-mutate

Manipulate C-family ASTs with Clang

cocoapi

COCO API - Dataset @ http://cocodataset.org/

code-lms

Guide to using pre-trained large language models of source code

codebert

CodeBERT

codexglue

CodeXGLUE

compilergym

A reinforcement learning toolkit for compiler optimizations

cotext

Code implementation for CoTexT: Multi-task Learning with Code-Text Transformer

d2a

This repository is to support contributions for tools and new data entries for the D2A dataset hosted in DAX

decfuzzer

Decompiler Fuzzing Test with EMI mutation

deepcrime

DeepCrime - Mutation Testing Tool for Deep Learning Systems

deepsearch

Reproduction Code for FSE Paper "DeepSearch: A Simple and Effective Blackbox Attack for Deep Neural Networks"

deepsmartfuzzer

Reward Guided Test Generation for Deep Learning

deepvis-preddiff

Visualizing Deep Neural Network Decisions: Prediction Difference Analysis

deepxplore-cs239

DeepXplore code release

dflare

dietcodebert

edd

eidig

Source code, datasets and models of the paper "Efficient White-box Fairness Testing through Gradient Search" by Lingfeng Zhang, Yueling Zhang, Min Zhang in ISSTA'21.

evaldnn

EvalDNN: A Toolbox for Evaluating Deep Neural Network Models