Data Science & ML Claude 技能
发现data science & ml类别的 Claude 技能。浏览 53 个技能，找到适合您 AI 工作流程的完美功能。
RDKit Cheminformatics Toolkit
Provides comprehensive cheminformatics capabilities for molecular analysis, manipulation, and property calculation within Claude Code.
PyMC Bayesian Modeling
Builds and validates advanced Bayesian probabilistic models using PyMC 5.x for scientific discovery and statistical inference.
PyOpenMS Mass Spectrometry Analysis
Processes and analyzes complex mass spectrometry data for proteomics and metabolomics workflows using the PyOpenMS library.
Dask Parallel Computing
Scales Python data science workflows using parallel and distributed computing for larger-than-memory datasets.
SHAP Model Explainability
Explains machine learning model predictions and feature importance using Shapley Additive exPlanations for transparent and interpretable AI.
Matchms Mass Spectrometry Analysis
Processes and analyzes mass spectrometry data using Python-based spectral similarity, metadata harmonization, and data filtering tools.
Pymoo Optimization
Solves complex single and multi-objective optimization problems using evolutionary algorithms and Pareto front analysis.
Denario AI Scientist
Automates the end-to-end scientific research lifecycle from data analysis and hypothesis generation to publishing LaTeX-formatted papers.
Medchem Scientific Discovery
Applies medicinal chemistry filters and drug-likeness rules to prioritize compound libraries for autonomous discovery.
Pysam Genomic Toolkit
Manipulates genomic datasets by reading and writing SAM, BAM, CRAM, VCF, and FASTA files using a Pythonic interface.
FluidSim CFD Framework
Conducts high-performance computational fluid dynamics simulations using Python-based pseudospectral methods and MPI parallelization.
SymPy Symbolic Mathematics
Performs exact symbolic mathematics in Python, including algebraic solving, calculus, and matrix manipulations.
FDA Regulatory Data Analysis
Accesses and analyzes comprehensive FDA regulatory data for drugs, medical devices, and food safety through the openFDA API.
Pydicom Medical Imaging
Manipulates and processes DICOM medical imaging data for healthcare applications and scientific research.
Biomni Biomedical Research
Executes complex biomedical research tasks across genomics, drug discovery, and clinical analysis using autonomous AI reasoning.
PyTorch Lightning Scientist
Streamlines deep learning development by organizing PyTorch code into scalable, high-performance Lightning modules and data pipelines.
Protein Modeling & Design (ESM)
Empowers Claude to design, generate, and analyze protein sequences and structures using ESM3 and ESM C evolutionary scale models.
DiffDock Molecular Docking
Predicts accurate 3D protein-ligand binding poses using diffusion-based deep learning for computational drug discovery.
Survival Analysis & Time-to-Event Modeling
Performs comprehensive survival analysis and time-to-event modeling using the scikit-survival library in Python.
LaminDB Biology Data Management
Manages biological datasets with automated lineage tracking, ontology-based curation, and FAIR-compliant data lakehouse capabilities.
PyDESeq2 Gene Expression Analysis
Performs automated differential gene expression analysis on bulk RNA-seq data using the PyDESeq2 framework.
COBRApy Metabolic Modeling
Performs constraint-based reconstruction and analysis of metabolic models for systems biology and metabolic engineering.
PyHealth
Builds and deploys specialized machine learning models for clinical healthcare data and electronic health records.
Scanpy Single-Cell Analysis
Performs comprehensive single-cell RNA-seq data analysis, including quality control, clustering, and visualization.
DeepChem Molecular ML & Drug Discovery
Facilitates molecular property prediction and drug discovery through specialized machine learning models and chemical data featurization.
Vaex Big Data Analysis
Processes and analyzes massive tabular datasets exceeding available RAM using lazy, out-of-core DataFrame operations.
PathML Computational Pathology
Analyzes whole-slide images and multiparametric imaging data for advanced computational pathology and machine learning workflows.
Reactome Pathway Database & Analysis
Accesses the Reactome database to perform biological pathway analysis, gene mapping, and enrichment studies for systems biology.
Aeon Time Series Analysis
Performs advanced time series machine learning tasks including classification, forecasting, and anomaly detection using scikit-learn compatible APIs.
FlowIO Flow Cytometry Handler
Parses and manipulates Flow Cytometry Standard (FCS) files for scientific data preprocessing and analysis.
Scroll for more results...