Kernel ML
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- United States of America
- ramkrishs@outlook.com
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- sparkfeaturekit Public
SparkFeatureKit is a production-quality Python library for feature engineering, schema validation, and data quality profiling.
Kernel-ML/sparkfeaturekit’s past year of commit activity - rankforge Public
RankForge fills the gap between LTR model libraries (XGBoost, LightGBM) and production deployment. It provides the full orchestration layer: pluggable feature stores, replay-based backtesting, A/B test harness, and FastAPI serving — all with a consistent, model-agnostic interface.
Kernel-ML/rankforge’s past year of commit activity - .github Public
Kernel-ML/.github’s past year of commit activity - mlprobe Public
MLProbe is a Python package for validating ML models before deployment. It provides automated checks for model performance, data drift, failure modes, and CI/CD integration.
Kernel-ML/mlprobe’s past year of commit activity - driftwatch Public
Lightweight self-hosted model monitoring for drift detection, latency tracking, and alerting.
Kernel-ML/driftwatch’s past year of commit activity
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