Toggle navigation
Innovations and Objectives
Innovations and Objectives
Objectives
IML4E innovations
Case Studies
Case Studies
Basware
Granlund
Reaktor
Vitarex
Siemens
Results
Results
MLOps monitoring platform
MLOps Framework
Adversarial Test Toolbox
ML-Py-Stevedore
Data Quality Dashboard
ML Lineage
Mosquito data cleaner
MLOps Testing Methodology
Discrepancy Scaling for Unsupervised Anomaly Detection and Localization
Autonomously Adaptive Experimentation-Driven Pipeline
VALICY – a virtual validation system for AI/ML and complex software applications
SAGED: Error Detector for Tabular Data
Cost-effecient ML
ML Metrics Typology + AI Ethics Metrics
Calibrated confidence estimator
Inference scaling
Rare node co-activations in error detection
Continuous data monitoring and cleaning dashboard for smart meters
MLOps Maturity Assessment Scheme
Privacy-friendly Image Preparation for TinyML
Model cards toolkit
Pipeline Probe
Data Quality Evaluation Tool
OSS MLOps platform
CABC for MLOps
Validation of pose estimation models
ML-Py-Stevedore
Resources
Resources
Conferences and Publications
Deliverables
Up to date
Up to date
News
About
About
Countries
Partners
IML4E – [no headline]
IML4E
Resources
Deliverables
[no headline]