发现data science & ml类别的 Claude 技能。浏览 61 个技能,找到适合您 AI 工作流程的完美功能。
Queries and analyzes over 240 million scholarly works, authors, and institutions via the OpenAlex API for comprehensive bibliometric research.
Facilitates seamless interaction with the Gemini CLI to leverage Google Gemini models directly within the Claude Code environment.
Exports FiftyOne computer vision datasets to industry-standard formats like COCO, YOLO, and VOC for machine learning training.
Analyzes and designs offshore catenary and lazy wave riser configurations for static shape, tension, and OrcaFlex model generation.
Runs machine learning model inference, including detection, classification, and segmentation, directly on FiftyOne datasets.
Evaluates computer vision model predictions against ground truth using industry-standard protocols like COCO and Open Images.
Builds professional investment banking-standard discounted cash flow (DCF) models in Excel with automated financial projections and sensitivity analysis.
Processes and analyzes complex physiological signals including ECG, EEG, EDA, and more using the NeuroKit2 Python library.
Automates the detection and ingestion of computer vision datasets into FiftyOne with support for multimodal data and complex label formats.
Facilitates seamless interaction between Claude and Google's Gemini CLI to enable multi-model planning and execution.
Queries the Ensembl REST API to retrieve gene data, sequences, and variant analysis for over 250 species.
Scales Python data processing and scientific computing across multiple cores or clusters for datasets that exceed available memory.
Generates comprehensive, scheduler-aware phylogenomics pipelines from genome assemblies using single-copy orthologs.
Executes unsupervised machine learning algorithms to identify patterns, group data points, and perform cluster analysis on complex datasets.
Automates the creation of professional-grade Leveraged Buyout (LBO) models in Excel for private equity and investment analysis.
Automates the configuration and integration of MLflow and Weights & Biases to streamline machine learning experiment management.
Generates professional, publication-quality plots and charts using Python's foundational visualization library.
Generates publication-quality scientific diagrams and neural network architectures using AI-driven iterative refinement.
Optimizes LLM performance and reliability through advanced prompt engineering techniques like few-shot learning and chain-of-thought reasoning.
Integrates Claude with the DNAnexus cloud platform to develop, deploy, and manage genomics pipelines and biomedical data analyses.
Orchestrates systematic literature searches and reviews by finding, screening, and extracting data from scientific papers across PubMed and Semantic Scholar.
Automates the complete scientific research lifecycle from initial data analysis to publication-ready LaTeX manuscripts.
Orchestrates end-to-end MLOps pipelines from data preparation and model training through to production deployment.
Architects sophisticated LLM applications using the LangChain framework with advanced patterns for agents, memory, and tool integration.
Accesses and processes gene expression and functional genomics data from the NCBI Gene Expression Omnibus repository.
Analyzes textual data using natural language processing to extract sentiment, keywords, and core topics.
Configures and manages Mozilla Llamafile to run high-performance GGUF models locally with an OpenAI-compatible API.
Provides programmatic access to over 40 bioinformatics web services and databases for integrated biological data analysis and workflow automation.
Simplifies Python-based LLM interactions by providing a unified interface for over 100 cloud and local providers using the OpenAI format.
Implements probabilistic deep learning models for comprehensive single-cell omics data analysis and multimodal integration.
Scroll for more results...