UMAP dimensionality reduction. Fast nonlinear manifold learning for 2D/3D visualization, clustering preprocessing (HDBSCAN), supervised/parametric UMAP, for high-dimensional data.
UMAP dimensionality reduction. Fast nonlinear manifold learning for 2D/3D visualization, clustering preprocessing (HDBSCAN), supervised/parametric UMAP, for high-dimensional data.
UMAP dimensionality reduction. Fast nonlinear manifold learning for 2D/3D visualization, clustering preprocessing (HDBSCAN), supervised/parametric UMAP, for high-dimensional data.
Interactive game to learn Claude Agent Skills (SKILL.md) - explore, learn, and quiz yourself!
Design personalized learning plans for skills, topics, and career development
Use when implementing RL algorithms, training agents with rewards, or aligning LLMs with human feedback - covers policy gradients, PPO, Q-learning, RLHF, and GRPOUse when ", " mentioned.
Simon Prince's comprehensive deep learning framework for understanding neural networks, architectures, and training.
Guidelines for deep learning development with PyTorch, Transformers, Diffusers, and Gradio for LLM and diffusion model work.
Expert guidance for deep learning, transformers, diffusion models, and LLM development with PyTorch, Transformers, Diffusers, and Gradio.
Memory sidecar for agent work: recall before tasks, record learnings after tasks, review recommendations, optional backport bundles.
Use when user has learning content (YouTube transcripts, articles, tutorials) and wants to make it actionable. Triggers include "turn this into a plan", "make this actionable", "I watched/read X,...
Skip to content github / docs Code Issues 80 Pull requests 35 Discussions Actions Projects 2 Security Insights Merge branch 'main' into 1862-Add-Travis-CI-migration-table ...
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Implement adaptive learning with ReasoningBank for pattern recognition, strategy optimization, and continuous improvement. Use when building self-learning agents, optimizing workflows, or...
Implement adaptive learning with ReasoningBank for pattern recognition, strategy optimization, and continuous improvement. Use when building self-learning agents, optimizing workflows, or...
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Use when conducting sprint retrospectives, project post-mortems, weekly reviews, quarterly reflections, after-action reviews (AARs), team health checks, process improvement sessions, celebrating...
Analyze your OMC usage patterns and get personalized recommendations
Design and implement a complete ML pipeline for: $ARGUMENTS
Design and implement a complete ML pipeline for: $ARGUMENTS