interpolation
Techniques for 1D and 2D data interpolation using SciPy (CPU) and JAX/Interpax (GPU/Differentiable).
Techniques for 1D and 2D data interpolation using SciPy (CPU) and JAX/Interpax (GPU/Differentiable).
Common malware behaviors and analysis patterns
MCMC diagnostics for Bayesian models including convergence assessment, effective sample size, divergences, and posterior predictive checks.
Human-like mouse movement patterns. Use when automating browser interactions to avoid bot detection.
Core simtrial package functions for time-to-event clinical trial simulation. Use when generating survival data, performing weighted logrank tests, or running TTE simulations.
A comprehensive skill designed for researching on complex diagnosis problems.
Extract structured data from neurosurgical studies
Hidden emotional state tracking for relationship simulation
Develop testable scientific hypotheses through systematic observation analysis, literature grounding, and rigorous experimental design. Guides the journey from observation to testable prediction.
Generate high-quality scientific figures for SCI papers based on project code analysis
Modern random number generation using the Generator API, focusing on statistical properties, parallel streams, and reproducibility. Triggers: random, rng, default_rng, SeedSequence, probability distributions, shuffle.
MCMC convergence diagnostics using CmdStanPy and ArviZ
Digital forensics analysis and investigation tools for system security audits, file analysis, and evidence preservation