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TutorialsA systematic Python ML course using a 3-stage framework: algorithm derivation, code implementation, and experimental analysis. Covers logistic regression, decision trees, and ensemble learning.
ResearchFirst wet-lab comparison: 6 LLM Agents vs 9 human teams in TREM-2 Binder design show no significant Hit Rate difference (P=0.83). Analysis of tool convergence, in-silico bottlenecks, and designer transformation.
TutorialsSimon Willison built an iNaturalist observation display tool from scratch using his phone and Claude Code while camping. Full breakdown of the three-layer data pipeline architecture and AI-assisted mobile development workflow.
Deep DivesDeep dive into Hugging Face Transformers: core architecture, full-modality support, inference/training capabilities, and community ecosystem. Learn how this 160K-star project became the industry's AI infrastructure.