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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DQN vs Rainbow: 4.8x Score Gain From 6 Extensions
Compare DQN and Rainbow's 6 RL extensions that achieve 4.8x higher Atari scores. See how prioritized replay and dueling nets stack up.
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Kubeflow vs Argo vs Airflow: 4 Graph Execution Gotchas
Compare Kubeflow, Argo, and Airflow graph execution pitfalls. Debug DAG cycles, fix race conditions, and avoid 4 common orchestration mistakes.
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DQN vs Double DQN vs Dueling DQN: Atari Breakout Benchmark
Compare DQN, Double DQN, and Dueling DQN performance on Atari Breakout. Which architecture solves overestimation and learns faster? Benchmark results inside.
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RoPE vs ALiBi: 32K Context LLaMA Perplexity Beats MPT
RoPE vs ALiBi performance at 32K context: LLaMA's perplexity wins vs MPT. Position encoding comparison reveals surprising scaling differences.
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SciPy FFT vs NumPy FFT: 2.3x Speed Gap at 50kHz
NumPy FFT ran 2.3x slower than SciPy on 50kHz bearing data. Here's the benchmark, the gotchas, and a one-line fix for your vibration pipeline.
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Python list vs tuple vs set: Read/Write Speed Benchmark
Compare Python list, tuple, and set performance with benchmarks revealing read/write speeds and when each data structure shines in real code.
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Pillow to OpenCV: 3.4x Faster Image Load in Production
Pillow's imread took 800ms per image. OpenCV cut it to 240ms. Here's the color space trap, dtype bug, and EXIF hell that break every migration.
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Pandas GroupBy 2x Faster: Categorical Dtypes on 1M Rows
Speed up Pandas GroupBy 2x with categorical dtypes on large datasets. Real benchmark on 1M rows shows dramatic performance gains and memory savings.