Results for “model-graphs”

22 skills
More results
k-dense-ai
Pathml
Analyze whole-slide pathology images with Python: load 160+ slide formats, preprocess H&E stains, segment nuclei, construct spatial graphs, train ML models, and process multiplex immunofluorescence data (CODEX, Vectra).
30.2k · bundle
snoodleboot-io
Model Monitoring
The layers trade timeliness against definitiveness.
2
k-dense-ai
Statsmodels
Fit statistical models (OLS, GLM, ARIMA, mixed models) with detailed diagnostics, residuals, and inference for econometrics and time series analysis.
30.2k · bundle
bouclem
Statsmodels
Statsmodels is Python's premier library for statistical modeling, providing tools for estimation, inference, and diagnostics across a wide range of statistical methods.
7
livelybug
Benchmark Models
Cross-model benchmark for gstack skills. (gstack)
0
rootcastleco
Fal Platform
Platform APIs for model management, pricing, and usage tracking
6
luokai0
Cda
Provides domain knowledge on the Causal Dynamics Architecture (CDA), an alternative AI computing architecture based on causal graphs and Hamiltonian dynamics, with references for deep dives.
10 · bundle
chen-yu-hao
Statsmodels
Statistical modeling toolkit. OLS, GLM, logistic, ARIMA, time series, hypothesis tests, diagnostics, AIC/BIC, for rigorous statistical inference and econometric analysis.
5 · bundle
claude-dev-suite
Graph RAG
Knowledge-graph-augmented retrieval. Entity and triple extraction, graph construction (Neo4j, LlamaIndex PropertyGraphIndex), hierarchical community summarization (Microsoft GraphRAG), personalized PageRank (HippoRAG), multi-hop traversal retrieval, and hybrid graph + vector pipelines. USE WHEN: user mentions "GraphRAG", "HippoRAG", "knowledge graph RAG", "entity extraction", "multi-hop reasoning", "Neo4j RAG", "LlamaIndex property graph", "LangChain graph retriever", "triple extraction", "community summarization" DO NOT USE FOR: vanilla vector RAG - use `rag-patterns`; multimodal inputs - use `multimodal-rag`; production indexing ops - use `rag-production`; hallucination checks - use `rag-guardrails`
28
leandrobenjaminl
Data Visualization
Crea gráficos profesionales con Matplotlib, Seaborn y Plotly, desde exploración rápida hasta visualizaciones publicables, eligiendo el tipo de gráfico adecuado para cada historia de datos.
0 · bundle
google
Agent Platform Model Registry
Manage machine learning models in the Agent Platform Model Registry: list, describe, upload, update, and delete models and their versions.
14.4k
jiachen-t-wang
Trak Attributing Model Behavior At Scale Arxiv 2303 14186v2
TRAK: Attributing Model Behavior at Scale
6
michaelschecht
Model Selection
Recommend model families and validation strategy based on data, constraints, and objective. Use when: (1) choosing algorithms, (2) balancing bias/variance, (3) planning benchmark baselines. NOT for: final legal/compliance sign-off.
0
qhjqhj00
Posh
Evaluates automated metrics and vision-language models on identifying granular errors in detailed image descriptions and ranking paired descriptions against human judgments, using macro F1, pairwise accuracy, Spearman rank ρ, and Kendall's τ.
3
jasoncarreira
Mermaid Diagrams
Comprehensive guide for creating software diagrams using Mermaid syntax. Use when users need to create, visualize, or document software through diagrams including class diagrams (domain modeling, object-oriented design), sequence diagrams (application flows, API interactions, code execution), flowcharts (processes, algorithms, user journeys), entity relationship diagrams (database schemas), C4 architecture diagrams (system context, containers, components), state diagrams, git graphs, pie charts, gantt charts, or any other diagram type. Triggers include requests to "diagram", "visualize", "model", "map out", "show the flow", or when explaining system architecture, database design, code structure, or user/application flows.
6 · bundle
dylanckawalec
Mermaid Diagrams
Comprehensive guide for creating software diagrams using Mermaid syntax. Use when users need to create, visualize, or document software through diagrams including class diagrams (domain modeling, object-oriented design), sequence diagrams (application flows, API interactions, code execution), flowcharts (processes, algorithms, user journeys), entity relationship diagrams (database schemas), C4 architecture diagrams (system context, containers, components), state diagrams, git graphs, pie charts, gantt charts, or any other diagram type. Triggers include requests to "diagram", "visualize", "model", "map out", "show the flow", or when explaining system architecture, database design, code structure, or user/application flows.
3 · bundle
corezoid
Simulator
Universal Simulator.Company platform assistant. Use when the user asks anything about Simulator.Company, wants to work with the Simulator API, mentions actors, forms, graphs, layers, accounts, transactions, or any other Simulator entity. Also use when the user asks to "use simulator", "call the simulator API", or needs to manage business processes in Simulator. This skill provides deep knowledge of the platform model and guides you to use the simulator MCP tools correctly.
59 · bundle