Pinned Repositories
adapt
ADAPT is the open source white-box testing framework for deep neural networks
AdaptiveRandomForest
Repository for the AdaptiveRandomForest algorithm implemented in MOA 2016-04
Adversarial-Embedding
AIX360
Interpretability and explainability of data and machine learning models
Covid19
Serval Covid 19 Simulator
covid19-simulator-front
Github pages for Serval
FeatureNet
Deep Neural Networks (DNNs) are intensively used to solve a wide variety of complex problems. Although powerful, such systems re- quire manual configuration and tuning. To this end, we view DNNs as configurable systems and propose an end-to-end framework that allows the configuration, evaluation and automated search for DNN architectures. Our FM and framework have been released in this repository to support replication and future research.
OPF-HGNN
OPF-HGNN: Generalizable Heterogeneous Graph Neural Networks for AC Optimal Power Flow (LEAP PROJECT, MIT LICENCE)
SafePowerGraph
taskaugment
yamizi's Repositories
yamizi/Adversarial-Embedding
yamizi/taskaugment
yamizi/Covid19
Serval Covid 19 Simulator
yamizi/FeatureNet
Deep Neural Networks (DNNs) are intensively used to solve a wide variety of complex problems. Although powerful, such systems re- quire manual configuration and tuning. To this end, we view DNNs as configurable systems and propose an end-to-end framework that allows the configuration, evaluation and automated search for DNN architectures. Our FM and framework have been released in this repository to support replication and future research.
yamizi/SafePowerGraph
yamizi/covid19-simulator-front
Github pages for Serval
yamizi/OPF-HGNN
OPF-HGNN: Generalizable Heterogeneous Graph Neural Networks for AC Optimal Power Flow (LEAP PROJECT, MIT LICENCE)
yamizi/adapt
ADAPT is the open source white-box testing framework for deep neural networks
yamizi/AdaptiveRandomForest
Repository for the AdaptiveRandomForest algorithm implemented in MOA 2016-04
yamizi/AIX360
Interpretability and explainability of data and machine learning models
yamizi/aletheia
Image steganalysis using state-of-the-art machine learning techniques
yamizi/autokeras
Accessible AutoML for deep learning.
yamizi/Back2Mettis
yamizi/constrained-attacks-gitpod
Constrained adversarial attacks for ML models.
yamizi/DeepSearch
Reproduction Code for FSE Paper "DeepSearch: A Simple and Effective Blackbox Attack for Deep Neural Networks"
yamizi/dnn-tip
A collection of dnn test input prioritizers often used as benchmarks in recent literature.
yamizi/fse20
artifacts track, fse20
yamizi/GNN_OPF_electricity_market
yamizi/LLCEscapeGame
yamizi/NassimAlg1
yamizi/NassimAlg2
yamizi/page
Research page of Salah GHAMIZI, SnT, University of Luxembourg
yamizi/phd-thesis
yamizi/pokedex_testing_course
A Java web app that stores the original 151 Pokemon in the Pokedex (using SQL database) along with their moves which are used in a separate battle mode game.
yamizi/robustbench
RobustBench: a standardized adversarial robustness benchmark [NeurIPS'21 Benchmarks and Datasets Track]
yamizi/SoftwareEngineeringII
yamizi/svalinn_demo
yamizi/TEDxMinesNancy
A responsive wordpress theme for TEDx websites
yamizi/TP1books
yamizi/visual-novel-engine
Simple engine for web visual novels. Based on React + Redux + TypeScript