Innovations and Objectives
Results
- IML4E Framework
- ML-Py-Stevedore
- Mosquito data cleaner
- 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
- The IML4E 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
Resources
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