aiaudit-org Goto Github PK
Name: aiaudit.org
Type: Organization
Bio: We are a group of humans who audit AI systems
Location: Cyberspace
Blog: https://aiaudit.org/
Name: aiaudit.org
Type: Organization
Bio: We are a group of humans who audit AI systems
Location: Cyberspace
Blog: https://aiaudit.org/
MLflow on AWS with Fargate, RDS for logging and S3 for artifacts - customized to run on the ITU AWS infrastructure with preconfigured VPC and subnets
Overview of resources for customized deployment of aiaudit.org mlflow servers
A public repository containing our evaluation platform source code.
Detecting Failure Modes in Image Reconstructions with Interval Neural Network Uncertainty
Custom mlflow build for perturbed minds project
perturbed minds customization of mlflow
A systematic approach to class distribution mismatch in semi-supervised learning using deep dataset dissimilarity measures
In order to control processing-induced dataset drift we require two ingredients: raw sensor data and an image processing model. This code repository contains the materials for the second ingredient, the image processing models, as well as scripts to load data and run experiments. https://arxiv.org/abs/2211.02578
This repo hosts the markdown content for the aiaudit.org website based on Jekyll
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Open source projects and samples from Microsoft.
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Data-Driven Documents codes.
China tencent open source team.