CLI tool to compare model checkpoints — weight deltas, SVD structure, diagnostic conclusions
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Updated
Mar 21, 2026 - Python
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weight-analysis
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A two-parameter Weibull lens on transformer weights — diagnose weight-magnitude distributions (shape k, scale λ) across 7 model families, and explain how λ evolves under AdamW training. Library (npm-weibull-py) + benchmark database + companion code for arXiv:2605.18898 and 2606.19367.
machine-learning deep-learning transformers neural-networks arxiv interpretability weibull-distribution adamw-optimizer training-dynamics model-diagnostics large-language-models llm weight-analysis
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Jun 27, 2026 - Python
实验目标：验证在极简神经网络中，能否直接从训练后的权重参数中恢复出它所学习的规则
python open-source experiment machine-learning research ai deep-learning neural-network educational beginner-friendly neuron xor web-demo interpretability weight-analysis
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Updated
May 25, 2026 - HTML
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