TildAlice – Tech Blog for Developers
Python, AI, Deep Learning, Data Analysis, Computer Vision, Reinforcement Learning โ tips and tutorials
Latest Posts
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RL for Production Scheduling: DQN Failed, PPO Saved It
DQN crashed on factory scheduling. PPO barely helped. This hybrid RL+heuristic cut tardiness 40% in productionโfull implementation.
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DTW for Multi-Sensor Anomaly Detection in Machinery
DTW beats point-based methods for gradual bearing faults: 12% earlier detection on real degradation data. Includes multi-sensor code.
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Digital Twin: Virtual Factory Replicas with Python
Build a factory digital twin with Python: SimPy simulation + Kalman filter sync handles 10K parts/day, enables what-if scenarios.
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Advanced Python Decorators: Classes, Stacking, Production
Class decorators with ParamSpec typing fix Flask middleware bugs most devs miss. Stacking order secrets + descriptor protocol patterns inside.
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Real-Time Anomaly Detection on Production Lines with DL
Autoencoder vs transformer for production line defects: edge deployment benchmarks reveal why reconstruction error fails 40% of the time.
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Predictive Maintenance 101: ML to Prevent Downtime
Predict machine failures 72 hours early using survival analysis and vibration FFT features. Why threshold alerts miss 60% of breakdowns.
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Computer Vision for Quality Control: Defect Detection Basics
Deploy YOLO defect detection at 15 FPS on edge hardware. Classical CV fails hereโreal production code with latency benchmarks included.
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Custom Python Decorators: Args, Returns, and Patterns
Build retry decorators that handle async, preserve signatures, and avoid the *args trap. Real memoization patterns with ParamSpec typing.