React and Next.js performance guidance for writing, reviewing, and refactoring production UI code.

Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation

A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.

A curated set of agent skills for Qdrant vector search, providing structured knowledge on scaling, optimization, monitoring, deployment, and SDK usage.

React and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js pages, data fetching, bundle optimization, or performance improvements.

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

This comprehensive CKA learning path repo equips aspiring Kubernetes administrators with all the knowledge and resources to ace the CKA exam on the first try. Includes in-depth explanations, hands-on labs, and valuable study materials. Pass the CKA and unlock your Kubernetes potential today!

Official Repo for "TheoremExplainAgent: Towards Video-based Multimodal Explanations for LLM Theorem Understanding" [ACL 2025 oral]

AI agent that reads the fine print so you don't have to. Upload any contract → get red flags, unfair terms, and plain-English explanations in seconds.

Collection of reusable AI agent skills for code review, planning, research, and automation tasks.

A collection of reusable agent skills that turn Claude Code or Codex into a long-lived personal tutor, building interactive courses with lessons, simulations, and quizzes.

Research papers with annotations, illustrations and explanations