Results for “probabilistic-programming”

13 skills
artubss
pymc-bayesian-modeling
Modelagem Bayesiana com PyMC. Construa modelos hierárquicos, MCMC (NUTS), inferência variacional, comparação LOO/WAIC, verificações posteriores, para programação probabilística e inferência.
10 · bundle
a5c-ai
astar
A* pathfinding skill for heuristics and optimization.
1.7k · bundle
bdm-15
ptw-analysis
Price-to-win lens using GSA CALC+, BLS OEWS, and incumbent USASpending award patterns for a pursuit. Use when user asks for realism checks or competitive pricing posture before proposal — draft skill, not production-verified.
0
michaelschecht
ml-experiment-design
Build reproducible ML experiment plans with hypotheses, metrics, and ablations. Use when: (1) planning experiments, (2) comparing variants, (3) defining acceptance thresholds. NOT for: long-running experiment execution.
0
snoodleboot-io
performance-optimization
The instruction to profile before optimizing survives because intuition about
2
kintsugi-programmer
algorithmic-art
Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems. Create original algorithmic art rather than copying existing artists' work to avoid copyright violations.
0 · bundle
wondelai
pragmatic-programmer
Apply meta-principles of software craftsmanship: DRY, orthogonality, tracer bullets, and design by contract to build systems that are easy to change, understand, and trust.
1.6k · bundle
haongo232
performance-profiling
Performance profiling principles. Measurement, analysis, and optimization techniques.
3 · bundle
smith6jt-cop
empirical-config-builder
Derive selection thresholds from market data instead of hardcoding. Trigger when: (1) reviewing hardcoded parameters, (2) volume/price thresholds seem arbitrary, (3) selection returns too many/few candidates.
3
omer-metin
monte-carlo
Design and implement Monte Carlo methods for uncertainty quantification, risk analysis, and probabilistic simulations across scientific and financial domains. Use when "monte carlo, random sampling, uncertainty quantification, risk analysis, stochastic simulation, MCMC, variance reduction, probabilistic, " mentioned.
128 · bundle
dracounion
pre-mortem-technique
在启动高风险项目或重要决策前,需要预先识别潜在失败点以增强心理韧性和方案鲁棒性时
11 · bundle
shulkwisec
process-hollowing
Execute advanced evasion by injecting malicious code into the memory space of a legitimate, suspended process (Process Hollowing). This skill details techniques to bypass static and dynamic analysis by masking malicious activity behind trusted processes like svchost.exe or explorer.exe.
21 · bundle
nickgallick
nick-refactor-planner
Safe refactor planning for Nick's codebases. Use when planning large refactors, reducing blast radius, sequencing cleanup work, or deciding how to improve messy code without breaking product velocity.
0 · bundle