AXA - AI Research & Development's repositories
locality-interpretable-surrogate
Repository of the paper "Defining Locality for Surrogates in Post-hoc Interpretablity" published at 2018 ICML Workshop on Human Interpretability in Machine Learning (WHI 2018)
LowProFool
Repository of the paper "Imperceptible Adversarial Attacks on Tabular Data" presented at NeurIPS 2019 Workshop on Robust AI in Financial Services (Robust AI in FS 2019)
fairness-compass
Fairness metric selection tool for AI applications
NINA-Dataset
Script to create the crash sound dataset
random-shapelets
Implementation of the random-shapelet algorithm for a fast extraction of a feature-based representation from time series for classification based on the shapelet principle. Published at IEEE DSAA'2015 and 2016 ECML/PKDD Workshop on Advanced Analytics and Learning on Temporal Data
axa-rev-research.github.io
https://axa-rev-research.github.io - Homepage for the AXA REV Research team
covid19-contact-tracing-app-simulation
Covid-19 Contact Tracing App Simulation (based on MoSP)
ROAD-fairness
Code for the public research paper "On the Fairness ROAD"
local-adverse-detection
Repository of the paper "Detecting Potential Local Adversarial Examples for Human-Interpretable Defense" published at 2018 ECML/PKDD Workshop on Recent Advances in Adversarial Machine Learning (Nemesis 2018)
biobert-pytorch
PyTorch Implementation of BioBERT
earth2studio
Open-source deep-learning framework for exploring, building and deploying AI weather/climate workflows.
NINA-Dataset-Demo
Video demo for audio recognition model trained upon the NINA dataset