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CRAG666
GitHub-Creator-Profil

CRAG666

Repository-Ansicht von 26 gesammelten Skills in 1 GitHub-Repositories.

gesammelte Skills
26
Repositories
1
aktualisiert
30. Aug. 2026
Repository-Karte

Wo die Skills liegen

Top-Repositories nach gesammelter Skill-Anzahl, mit ihrem Anteil an diesem Creator-Katalog und ihrer Berufsverteilung.

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Repositories und repräsentative Skills

aeon
nicht klassifiziert

This skill should be used for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search. Use when working with temporal data, sequential patterns, or time-indexed…

30. Aug. 2026
exploratory-data-analysis
nicht klassifiziert

Perform bounded, local exploratory analysis of explicitly supported scientific files. Use for redacted CSV/TSV/JSON profiles; optional NumPy, HDF5, FASTA/FASTQ, and basic image metadata inspection; missingness/leakage audits; outlier and transformation…

30. Aug. 2026
literature-review
nicht klassifiziert

Conduct comprehensive, systematic literature reviews using multiple academic databases (PubMed, arXiv, bioRxiv, Semantic Scholar, etc.). This skill should be used when conducting systematic literature reviews, meta-analyses, research synthesis, or…

30. Aug. 2026
markitdown
nicht klassifiziert

Convert heterogeneous documents and selected URIs to Markdown with Microsoft MarkItDown for text analysis, search, and LLM/RAG ingestion. Covers safe local conversion, streams, Office/PDF/data formats, batch workflows, plugins, vision OCR, Azure extraction,…

30. Aug. 2026
matplotlib
nicht klassifiziert

Low-level plotting library for full customization. Use when you need fine-grained control over every plot element, creating novel plot types, or integrating with specific scientific workflows. Export to PNG/PDF/SVG for publication. For quick statistical plots…

30. Aug. 2026
networkx
nicht klassifiziert

Create, analyze, and visualize complex networks and graphs in Python with NetworkX. Use when working with network/graph data structures, computing graph algorithms (shortest paths, centrality, clustering), detecting communities, generating synthetic networks…

30. Aug. 2026
neurokit2
nicht klassifiziert

Use NeuroKit2 to build or audit reproducible research workflows for physiological time-series preprocessing, event/interval analysis, multimodal alignment, variability, and complexity. Trigger when code imports neurokit2 or needs its current APIs, schemas,…

30. Aug. 2026
optimize-for-gpu
nicht klassifiziert

GPU-accelerates scientific Python on NVIDIA hardware and verifies that the result is correct and faster. Use for CUDA/GPU optimization; CPU-bound NumPy, SciPy, pandas, scikit-learn, NetworkX, scikit-image, vector-search, image-processing, graph, simulation,…

30. Aug. 2026
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