Desenvolvimento
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nyc-property-report
Relatório combinado de propriedades de Nova York, abrangendo marcos históricos, licenças DOB, violações, registros ACRIS, HPD e variações BSA.
epd-compare
Compare 2+ products side-by-side on environmental impact metrics. Normalizes declared units, checks system boundary alignment, and flags LEED MRc2 compliance.
nyc-acris
Look up ACRIS property transaction records — deeds, mortgages, liens.
color-palette-generator
Color palette generator — creates harmonious color palettes from descriptions, moods, or images. Outputs a self-contained HTML file with swatches, hex/RGB/HSL codes, contrast ratios, and example pairings.
product-image-processor
Download, resize, and remove backgrounds from product images at scale
product-enrich
Auto-tag FF&E products with categories, colors, materials, and style tags using AI.
product-spec-bulk-fetch
Fetch structured FF&E product specs from a list of URLs. Extracts name, brand, dimensions, materials, price, and images into a standardized schedule.
deseq2-differential-expression
Bulk RNA-seq DE with R/Bioconductor DESeq2. Negative binomial GLM, empirical Bayes shrinkage, Wald/LRT tests, multi-factor designs, Salmon tximeta import, apeglm LFC shrinkage, MA/volcano/heatmap viz. R gold standard. Use pydeseq2-differential-expression for Python; use edgeR for TMM normalization.
string-database-ppi
Consulte a API REST STRING para interações proteína-proteína (PPIs) em 59M proteínas, 20B interações e mais de 5000 espécies, permitindo a recuperação de redes, enriquecimento GO/KEGG, localização de parceiros, teste de significância de PPIs, visualização de redes e análise de homologia. Para interações químicas, use chembl-database-bioactivity; para vias, use kegg-database.
shap-model-explainability
Model interpretability via SHAP (Shapley values from game theory). Covers explainer choice (Tree, Deep, Linear, Kernel, Gradient, Permutation), feature attribution, and plots (waterfall, beeswarm, bar, scatter, force, heatmap). Use to explain ML predictions, rank features, debug models, audit fairness, or compare models. Works with tree, deep, linear, and black-box models.
neuropixels-analysis
Pipeline for Neuropixels extracellular electrophysiology: probe geometry (ProbeInterface), Kilosort sorting via SpikeInterface, quality metrics, unit curation (ISI, firing rate, SNR), post-sort analysis (PSTH, tuning curves, population decoding). Supports Neuropixels 1.0/2.0/Ultra in rodent/primate experiments.
statistical-analysis
Guided statistical analysis: test choice, assumption checks, effect sizes, power, APA reporting. Pick tests, verify assumptions, or format results for publication. Covers frequentist (t-test, ANOVA, chi-square, regression, correlation, survival, count, reliability) and Bayesian. Use statsmodels or pymc-bayesian-modeling to fit.