MMehmet Ünlü
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Mehmet Ünlü

I study Electronics and Communication Engineering at ITU and build hands-on projects around forecasting, computer vision, and making data workflows faster.

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Notes

Technical notes, diagrams, and build writeups.

A mixed notebook for blog-style build logs, AI course notes, visual explanations, and compact cheat sheets.

BlogSheaf Neural NetworksGraph Neural NetworksGNN
Her Komşu Aynı Dili Konuşmaz: Sheaf Neural Networks

Her Komşu Aynı Dili Konuşmaz: Sheaf Neural Networks

Sheaf Neural Networks, klasik GNN’lerin komşu bilgilerini aynı uzayda birleştirme varsayımını sorgular. Bu yazı; yerel bilgi uzayları, restriction map’ler ve Sheaf Laplacian üzerinden heterojen grafiklerde daha esnek bilgi aktarımını inceliyor.

BlogWhisperNLPDeployment

Building Self-Hosted Whisper Pipelines

Whisper becomes more useful when transcription is treated as one stage in a larger NLP system.

Visual NoteComputer VisionVisual Odometry

Hybrid Visual Odometry: RAFT + ORB

A confidence selector can turn deep and classical visual odometry branches into a more robust research architecture.

Cheat SheetOptimizationNumPyPandas

Vectorization vs Python Loops in ML Pipelines

The fastest pipeline improvement is often moving repeated Python-level work into vectorized array operations.

Course NoteIntermittent DemandLightGBM

Two-Stage Modeling for Intermittent Demand

Separating sale occurrence from sale magnitude can make sparse forecasting systems easier to reason about.

Cheat SheetMetricsForecasting

Why WAPE Alone Can Be Misleading

WAPE is useful, but sparse demand and high zero ratios can hide important failure modes.

Course NoteForecastingValidationML Systems

Avoiding Data Leakage in Recursive Forecasting

A practical note on preserving temporal integrity when lagged features depend on previous predictions.