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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ViT vs DeiT Review: Pure Attention Meets Distillation
ViT vs DeiT: how distillation and data augmentation let DeiT match ViT accuracy without 300M pretraining images. Training logs and ablation results included.
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Self-Supervised Contrastive Learning for Fault Diagnosis
SimCLR contrastive pretraining boosted fault diagnosis from 73% to 89% using 8,000 unlabeled vibration signals. Here's the exact PHM workflow.
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Union-Find Basics to Kruskal’s MST Implementation
Union-Find from scratch: path compression, union by rank, and implementing Kruskal's MST. The O(ฮฑ(N)) trick and mistakes I made along the way.
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Python Memory Profiling: tracemalloc and memray in Prod
Debugged a 47GB memory leak in production using tracemalloc and memray. The exact profiling workflow I use to find Python leaks in under an hour.
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vLLM vs TensorRT-LLM: RTX 4090 Inference Benchmark
vLLM vs TensorRT-LLM head-to-head on RTX 4090 with Llama 3.1 8B โ throughput, latency, memory usage, and setup complexity compared. TensorRT-LLM wins 2.3x throughput but at what cost?
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SCADA Data Integration for Multi-Asset PHM Pipelines
MQTT vs direct writes: we tested both on 47 SCADA assets. The hybrid approach cut sync lag 73% and survived 8 months in production.
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DINOv2 for Medical Image Anomaly Detection
Frozen DINOv2 features beat fine-tuned autoencoders for medical anomaly detection. Here's the preprocessing mistake that tanks accuracy.
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Spectral Kurtosis for Bearing Faults: Outperforming FFT
Spectral kurtosis caught bearing failure 3 weeks before FFT showed symptoms. When it works, when it fails, and what runs in production.