A logical, reasonably standardized, but flexible project structure for conducting ml research 🍪

python nlp template data-science machine-learning natural-language-processing statistics research ai modeling tabular-data ml regression artificial-intelligence classification ml-tooling

• Updated Aug 25, 2025
• Jupyter Notebook

An interpretable battery health engine that detects hidden points of no return instead of just predicting health %. It models stress, buffer, and degradation intensity, discovers Stable/Drifting/Irreversible regimes via GMM, and learns simple Decision Tree thresholds, with a Streamlit app for diagnostics and what-if scenarios.

counterfactual-analysis gaussian-mixture-models decision-trees degradation early-warning-systems interpretable-ml explainable-ai battery-health systems-thinking ml-tooling streamlit-app risk-detection drift-analysis equilibrium-modeling non-stationary-systems instability-modeling threshold-detection regime-modeling hardware-analytics stress-modeling

• Updated Dec 16, 2025
• Python

A Python library for building local web apps to manually classify images into custom categories - perfect for preparing ML training datasets.

python flask machine-learning image-annotation image-classification data-preprocessing labeling-tool data-labeling dataset-preparation ml-tooling

• Updated Aug 19, 2025
• Python