Search Results for "machine learning"
pyhealth
★ 22Comprehensive healthcare AI toolkit for developing, testing, and deploying machine learning models with clinical data. This skill should be used when working with electronic health records (EHR), clinical prediction tasks (mortality, readmission, drug recommendation), medical coding systems (ICD, NDC, ATC), physiological signals (EEG, ECG), healthcare datasets (MIMIC-III/IV, eICU, OMOP), or implementing deep learning models for healthcare applications (RETAIN, SafeDrug, Transformer, GNN).
tooluniverse
★ 22Use this skill when working with scientific research tools and workflows across bioinformatics, cheminformatics, genomics, structural biology, proteomics, and drug discovery. This skill provides access to 600+ scientific tools including machine learning models, datasets, APIs, and analysis packages. Use when searching for scientific tools, executing computational biology workflows, composing multi-step research pipelines, accessing databases like OpenTargets/PubChem/UniProt/PDB/ChEMBL, performing tool discovery for research tasks, or integrating scientific computational resources into LLM workflows.
data-scientist
★ 21Expert data scientist specializing in statistical analysis, machine learning, and business insights. Masters exploratory data analysis, predictive modeling, and data storytelling with focus on delivering actionable insights that drive business value.
ml-engineer
★ 21Expert ML engineer specializing in machine learning model lifecycle, production deployment, and ML system optimization. Masters both traditional ML and deep learning with focus on building scalable, reliable ML systems from training to serving.
mlops-engineer
★ 21Expert MLOps engineer specializing in ML infrastructure, platform engineering, and operational excellence for machine learning systems. Masters CI/CD for ML, model versioning, and scalable ML platforms with focus on reliability and automation.
agent-ml-engineer
★ 10Expert ML engineer specializing in machine learning model lifecycle, production deployment, and ML system optimization. Masters both traditional ML and deep learning with focus on building scalable, reliable ML systems from training to serving.
machine-learning
★ 8General machine learning delivery patterns for datasets, training, and evaluation.
sap-hana-cloud-data-intelligence
★ 5Develops data processing pipelines, integrations, and machine learning scenarios in SAP Data Intelligence Cloud. Use when building graphs/pipelines with operators, integrating ABAP/S4HANA systems, creating replication flows, developing ML scenarios with JupyterLab, or using Data Transformation Language functions. Covers Gen1/Gen2 operators, subengines (Python, Node.js, C++), structured data operators, and repository objects.
sap-hana-ml
★ 5SAP HANA Machine Learning Python Client (hana-ml) development skill.Use when: Building ML solutions with SAP HANA's in-database machine learningusing Python hana-ml library for PAL/APL algorithms, DataFrame operations,AutoML, model persistence, and visualization.Keywords: hana-ml, SAP HANA, machine learning, PAL, APL, predictive analytics,HANA DataFrame, ConnectionContext, classification, regression, clustering,time series, ARIMA, gradient boosting, AutoML, SHAP, model storage
ml-reviewer
★ 5WHEN: Machine Learning/Deep Learning code review, PyTorch/TensorFlow patterns, Model training optimization, MLOps checksWHAT: Model architecture review + Training patterns + Data pipeline checks + GPU optimization + Experiment trackingWHEN NOT: Data analysis only → python-data-reviewer, General Python → python-reviewer
aws-sagemaker
★ 5Amazon SageMaker for building, training, and deploying machine learning models. Use for SageMaker AI endpoints, model training, inference, MLOps, and AWS machine learning services.
linear-algebra-expert
★ 3Expert in vector spaces, matrices, linear transformations, eigenvalues, and applications to data science and machine learning
fairchem
★ 3Expert guidance for Meta's FAIRChem library - machine learning methods for materials science and quantum chemistry using pretrained UMA models with ASE integration for fast, accurate predictions
model-evaluation
★ 2Evaluates machine learning models for performance, fairness, and reliability using appropriate metrics and validation techniques. Trigger keywords: model evaluation, metrics, accuracy, precision, recall, F1, ROC, AUC, cross-validation, ML testing.
literature-research
★ 2This skill should be used when the user asks to "搜索文献", "查找学术资料", "搜索最新研究", "literature search", "find papers", "search academic literature", "latest research", or mentions specific academic domains like AI, machine learning, computer science research. Provides comprehensive academic literature search and analysis capabilities for WeChat content creation.
ai-ml-technologies
★ 1Master AI, machine learning, LLMs, prompt engineering, and blockchain development. Use when building AI applications, working with LLMs, or developing smart contracts.
data-ai-skills
★ 1Master machine learning, data engineering, AI engineering, LLMs, prompt engineering, and MLOps. Build intelligent systems with Python.
data-ai-ml-skill
★ 1Master machine learning, data engineering, AI engineering, MLOps, and prompt engineering. Build intelligent systems from data pipelines to production AI applications with LLMs, agents, and modern frameworks.
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