Descubre Habilidades de Claude para data science & ml. Explora 61 habilidades y encuentra las capacidades perfectas para tus flujos de trabajo de IA.
Create, visualize, and analyze structured lithological and stratigraphic logs for geoscience well data.
Generates high-fidelity 3D visualizations and mesh analyses for geological models, seismic data, and well trajectories using PyVista and VTK.
Processes seismic waveforms and earthquake data using the ObsPy library for comprehensive seismological analysis and signal processing.
Build, fit, and diagnose sophisticated Bayesian statistical models using PyMC v5+ and ArviZ.
Analyzes subsurface well log data and manages multi-well projects using advanced curve processing and formation top tracking.
Builds sophisticated 3D structural geological models using implicit methods from surface points and orientation data.
Grids and interpolates scattered spatial data using machine-learning style APIs and processing pipelines.
Implements high-performance finite-difference wave propagation and symbolic PDE solving for geoscience applications.
Automates scientific data fetching, local caching, and integrity verification for reproducible workflows.
Performs complex geophysical calculations, AVO modeling, and rock physics simulations for seismic data analysis.
Processes and models magnetotelluric (MT) geophysical data using the mtpy library to analyze subsurface resistivity.
Performs advanced formation evaluation and petrophysical analysis directly from well log data using industry-standard calculations.
Automates the end-to-end formation evaluation pipeline from raw LAS/DLIS data to petrophysical analysis and 3D visualization.
Builds 2D numerical models for landscape evolution, erosion, hydrology, and geomorphology using the Landlab Python framework.
Computes surface wave dispersion curves and sensitivity kernels for layered Earth models with high-performance Numba acceleration.
Build complex 3D geological models from spatial data, boreholes, and GIS inputs using GemPy, LoopStructural, and PyVista.
Performs GSLIB-inspired geostatistical analysis including variogram modeling, kriging interpolation, and spatial simulations.
Enforces epistemic quality in documentation to prevent LLM hallucinations in RAG systems.
Verifies and enforces epistemic quality in documents to prevent LLM hallucinations within RAG systems and knowledge bases.
Enforces epistemic quality and uncertainty markers in documents to prevent hallucinations in RAG systems and LLM workflows.
Transforms pandas dataframes using AI-powered qualitative ranking, semantic deduplication, and research-based filtering.
Performs complex geophysical forward modeling and inversion for subsurface physical property mapping.
Read, write, and manipulate LAS (Log ASCII Standard) well log files for borehole geophysical and petrophysical data analysis.
Searches and retrieves experimental high-energy physics data tables and cross-section measurements from the HEPData repository.
Simplifies LLM API integration by providing a unified Python interface for over 100 providers using a consistent OpenAI-compatible format.
Searches, retrieves, and downloads scientific datasets, software, and research artifacts from the Zenodo open repository.
Builds and optimizes data processing pipelines, integrations, and machine learning scenarios within the SAP Data Intelligence Cloud environment.
Integrates SAP AI Core and Generative AI Hub capabilities into JavaScript and Java applications with enterprise-grade orchestration and security features.
Develops and deploys in-database machine learning models using the SAP HANA Python Client for PAL, APL, and AutoML workflows.
Deploys and manages enterprise AI/ML workloads, Generative AI Hub models, and orchestration pipelines on SAP BTP.
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