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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Edge AI Object Detection: YOLO Mobile Optimization Guide
YOLOv5n at 320px beats over-engineered quantization for mobile MVPs. Preprocessing tricks and NMS optimization that actually ship.
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Claude Code vs GitHub Copilot: 5 Key Differences
Claude Code vs GitHub Copilot: context windows, tool execution, debugging workflowsโwhen each tool actually saves time in production.
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JAX vs PyTorch: When JIT Speed Actually Matters
JAX's JIT and vmap deliver 3x speedups on numerical loops, but PyTorch wins in production. When each framework actually matters.
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Albumentations vs Kornia: Small Dataset Augmentation Test
Tested Albumentations vs Kornia on 300 defect images. One was 40% faster but had CUDA crashes. What actually works for small datasets.
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Python 3.13 Free-Threading: GIL Removal Benchmarks
Python 3.13 free-threading removes the GIL for real parallel CPU execution. Benchmarks, compatibility gotchas, when it beats multiprocessing.
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Polars vs Pandas 2026: Benchmarks on Joins, Strings, I/O
Polars beats Pandas 9x on joins but loses on strings. Real benchmarks show when migration pays off and when it wastes your time.
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Stock Data API Debugging: 5 Silent Failures You’ll Hit
Stock APIs return 200 OK with corrupt data. Detect split adjustments, survivorship bias, and timezone drift before they ruin your backtest.
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PaddleOCR Optimization: Caching, Warmup, and Quantization Benchmarks
PaddleOCR ocr.predict vs ocr.ocr performance compared. Benchmark caching, warmup, and INT8 quantization โ init time drops 73% with the right setup.