Innovations and Objectives
Case Studies
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
Up to date