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SkillsMP 已收集 xjtulyc/awesome-rosetta-skills 中的 163 个 Skill。打开任一 Skill 可查看来源和详情。

xjtulyc/awesome-rosetta-skills

已展示 40 / 163 个已收集 Skill。

职业分类
其他生物科学家
描述

Organize, validate, and query neuroimaging datasets in BIDS 1.8 format using pybids, mne-bids, and datalad; covers EEG, fMRI, and derivatives conventions.

原文语言:英语

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职业分类
软件开发工程师
描述

Control systems analysis and PID design with python-control and scipy.signal: transfer functions, Bode/Nyquist plots, root locus, stability margins, and step-response simulation for SISO and discrete-time systems.

原文语言:英语

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职业分类
数据科学家
描述

Design rigorous experiments: sample size calculation, randomization strategies, pre-registration, and AB test duration estimation.

原文语言:英语

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职业分类
软件开发工程师
描述

Use this Skill when the user needs to search academic literature, collect papers for a systematic review, or find the latest research on any topic. Covers cross-database search via OpenAlex API, Semantic Scholar API, and arXiv API, with deduplication,…

原文语言:英语

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职业分类
高等院校英语语言和文学教师
描述

Use this Skill to write structured academic peer-review rebuttals: point-by-point responses, tone calibration, LaTeX templates, and cover letters for re-submission.

原文语言:英语

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职业分类
软件开发工程师
描述

Use this Skill for bibliometric analysis: author h-index, citation counts, co-authorship networks, co-citation analysis, bibliographic coupling, and VOSviewer-compatible output.

原文语言:英语

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职业分类
数据科学家
描述

Select and run the correct hypothesis test based on data properties. Covers parametric/non-parametric tests, effect sizes, and multiple comparison correction.

原文语言:英语

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职业分类
数据科学家
描述

SciPy numerical toolkit for physics: ODE/PDE solving, FFT analysis, optimization, numerical integration, and sparse linear algebra with real-world examples.

原文语言:英语

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职业分类
数学家
描述

SymPy symbolic computation for physics: algebra, calculus, linear algebra, ODE solving, Lagrangian mechanics, quantum physics, and code generation.

原文语言:英语

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职业分类
化学家
描述

Atomic Simulation Environment (ASE) for atomistic simulations: structure building, geometry optimization, NEB, molecular dynamics, and trajectory analysis.

原文语言:英语

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职业分类
数据科学家
描述

Use this Skill when the user needs to build Bayesian statistical models: prior selection, posterior sampling with MCMC (NUTS), convergence diagnostics, posterior predictive checks, LOO-CV model comparison, hierarchical models, and Bayesian A/B testing. Covers…

原文语言:英语

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职业分类
数据科学家
描述

DoWhy and CausalML toolkit for causal DAG construction, effect identification, ATE estimation, propensity score matching, and refutation testing.

原文语言:英语

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职业分类
软件开发工程师
描述

Download and analyze ERA5 reanalysis climate data via the Copernicus CDS API, compute anomalies, trend analysis, and produce publication-quality climate maps.

原文语言:英语

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职业分类
数据科学家
描述

Vector GIS analysis with GeoPandas: spatial joins, overlays, buffer/dissolve, choropleth maps, and rasterio integration for raster-vector workflows.

原文语言:英语

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职业分类
其他生物科学家
描述

Full EEG/MEG analysis pipeline with MNE-Python: preprocessing, ICA artifact removal, ERP computation, time-frequency analysis, and resting-state power spectral density.

原文语言:英语

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职业分类
其他生物科学家
描述

fMRI neuroimaging analysis with nilearn: GLM, resting-state functional connectivity, ICA, MVPA decoding, and brain map visualization.

原文语言:英语

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职业分类
软件开发工程师
描述

Digital signal processing with scipy.signal: filter design, spectral analysis, peak detection, PSD estimation, and adaptive filtering for engineering workflows.

原文语言:英语

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职业分类
数据科学家
描述

Use this Skill when the user needs to estimate causal treatment effects using difference-in-differences (DID) designs: two-way fixed effects (TWFE) regression, parallel trends pre-testing, Callaway-Sant'Anna staggered adoption estimator, and Goodman-Bacon…

原文语言:英语

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职业分类
数据科学家
描述

Fetch and analyze FRED macroeconomic time series data using fredapi; covers GDP, unemployment, inflation, yield curves, recession shading, and HP filtering.

原文语言:英语

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职业分类
数据科学家
描述

Instrumental variables and 2SLS: first-stage diagnostics, Wu-Hausman endogeneity test, Sargan overidentification, weak instrument tests, and linearmodels implementation.

原文语言:英语

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职业分类
数据科学家
描述

Run OLS regressions with full diagnostics: heteroscedasticity tests, robust/clustered SEs, VIF, structural breaks, and publication-ready tables via statsmodels.

原文语言:英语

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职业分类
金融风险专家财务和投资分析师+1
描述

Panel data econometrics with Python linearmodels; covers pooled OLS, fixed/random effects, Hausman test, clustered SE, Arellano-Bond GMM, and regression tables.

原文语言:英语

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职业分类
数据科学家
描述

Regression discontinuity design: sharp and fuzzy RDD, bandwidth selection, manipulation tests, covariate balance checks, and rdrobust-style Python/R implementation.

原文语言:英语

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职业分类
数据科学家
描述

Event study methodology in finance: estimate abnormal returns, CARs, BMP tests, Fama-French 3-factor normal returns, and long-run BHAR analysis using yfinance.

原文语言:英语

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职业分类
财务和投资分析师金融风险专家
描述

Asset pricing factor models: Fama-French 3/5-factor, Carhart 4-factor, q-factor; OLS regressions, rolling loadings, and GRS test for alpha.

原文语言:英语

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职业分类
政治学家
描述

Quantitative text analysis for political science: LDA topic modeling, Wordfish scaling, sentiment with VADER, TF-IDF ideology classification, and NER for actors.

原文语言:英语

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职业分类
数据科学家
描述

Analyze V-Dem (Varieties of Democracy) cross-national panel data to measure democratic indices, detect backsliding, and run panel regressions linking institutional quality to economic outcomes.

原文语言:英语

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职业分类
数据科学家
描述

Computational social science methods: social media data collection, bot detection, network homophily, echo chamber analysis, and conjoint survey experiments.

原文语言:英语

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职业分类
数据科学家
描述

Build, analyze, and visualize social networks with NetworkX: centrality, community detection, small-world metrics, bipartite networks, and Gephi export from edge lists or adjacency matrices.

原文语言:英语

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职业分类
数据科学家
描述

Use this Skill for statistical power analysis in psychological research: t-tests, ANOVA, correlation, regression, mediation, and simulation-based designs with Python.

原文语言:英语

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职业分类
数据科学家
描述

Psychometric analysis in Python: CTT item stats, Cronbach's alpha, EFA, CFA with semopy, 2PL IRT, measurement invariance, and Mantel-Haenszel DIF detection.

原文语言:英语

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职业分类
数据科学家
描述

Corpus linguistic analysis with NLTK and spaCy: tokenization, collocation, keyword analysis, KWIC concordance, distributional semantics with word2vec, and diachronic frequency trends.

原文语言:英语

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职业分类
数据科学家
描述

Access historical digital archives via REST APIs: Europeana, Chronicling America, Internet Archive, HathiTrust, DPLA, and OAI-PMH metadata harvesting.

原文语言:英语

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职业分类
软件开发工程师
描述

Philosophy literature search: SEP web scraping, PhilPapers API, systematic review, citation tracing, and Chicago-style bibliography generation.

原文语言:英语

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职业分类
人类学家和考古学家
描述

Radiocarbon (14C) dating calibration and Bayesian age modeling using IntCal20/SHCal20/Marine20 curves, sequence modeling with stratigraphic constraints, and uncertainty reporting.

原文语言:英语

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职业分类
数据科学家
描述

Music information retrieval with librosa: tempo, chroma, MFCCs, spectral features, onset detection, harmonic-percussive separation, pitch, and k-NN similarity search.

原文语言:英语

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职业分类
数据科学家
描述

Compartmental epidemic modeling (SIR/SEIR/SEIHR) with parameter fitting, Rt estimation, age-structured models, and sensitivity analysis.

原文语言:英语

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职业分类
数据科学家
描述

Global health data access and analysis: WHO GHO API, IHME GBD, Our World in Data, DALYs, age-standardization, health inequality, and choropleth mapping.

原文语言:英语

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职业分类
数据科学家
描述

Urban street network analysis with OSMnx: network statistics, centrality, isochrone/walkability analysis, POI extraction, and multi-city comparisons.

原文语言:英语

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职业分类
数据科学家软件开发工程师
描述

Soil data analysis via SoilGrids 2.0 REST API and SSURGO: SOC stocks, texture classification, kriging interpolation, and soil profile visualization.

原文语言:英语

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已展示 40 / 163 个已收集 Skill。