Packs
10 packs@sirnosh
Bmad ML Oc
Bmad ML Oc from SirNosh/bmad-ml.
22 skills · pack
@sirnosh
Bmad ML Gen
Bmad ML Gen from SirNosh/bmad-ml.
4 skills · pack
@theheavenlyd3mon
Mlops
Mlops from theheavenlyd3mon/hermes-profiles.
8 skills · pack
curated
ML Model Lifecycle
Train, evaluate, and deploy a production ML system with monitoring.
10 skills · pack
@dotnet
Dotnet AI
AI and ML skills for .NET: technology selection, LLM integration, agentic workflows, RAG pipelines, MCP, and classic ML with ML.NET.
5 skills · pack
curated
Data & ML
SQL, analytics, datasets, models and machine-learning workflows.
29 skills · pack
curated
GKE Batch & Inference
For teams running batch/HPC and AI/ML inference workloads on GKE with specialized hardware.
2 skills · pack
curated
Deploy AI Inference on GKE
Deploy and optimize AI/ML inference workloads on GKE using GPUs, TPUs, and model servers.
3 skills · pack
curated
Deploy Azure ML Pipeline
Manage Azure Machine Learning resources including workspaces, jobs, models, data, compute, and pipelines using the SDK v2 for Python.
3 skills · pack
@alirezarezvani
Engineering Team
32 engineering skills: architecture, frontend, backend, fullstack, QA, DevOps, security, AI/ML, data engineering, Playwright (9 sub-skills), self-improving agent, Stripe integration, TDD guide, tech stack evaluator, Google Workspace CLI, a11y audit (WCAG 2.2), Azure cloud architect, GCP cloud architect, security pen testing, Snowflake development, adversarial-reviewer, ai-security, cloud-security,
16 skills · pack
Results for “ml”
5 skills
azusagasaku mle-workflow
生产级机器学习工程工作流——数据契约、可复现训练、模型评估、服务部署、监控与回滚
0
sirnosh bmad-ml-all-hands
Run a cross-division all-hands meeting that includes both AI Lab and AI Startup agents. Use when the user requests to "start an all-hands", "convene both divisions", or "run a cross-division meeting".
0 · bundle
More results
artubss lamindb
Esta habilidade deve ser usada ao trabalhar com LaminDB, um framework de dados de código aberto para biologia que torna dados consultáveis, rastreáveis, reproduzíveis e FAIR. Use ao gerenciar datasets biológicos (scRNA-seq, espacial, citometria de fluxo, etc.), rastrear workflows computacionais, curar e validar dados com ontologias biológicas, construir data lakehouses, ou garantir linhagem de dados e reprodutibilidade em pesquisa biológica. Aborda gerenciamento de dados, anotação, ontologias (genes, tipos de célula, doenças, tecidos), validação de esquema, integrações com orquestradores de workflow (Nextflow, Snakemake) e plataformas MLOps (W&B, MLflow), e estratégias de deployment.
10 · bundle
sirnosh bmad-ml-startup-meeting
Run an AI Startup division meeting with the seven AI Startup agents (no AI Lab agents). Use when the user requests to "start a startup meeting", "convene the startup team", or "run a sprint review for the product".
0 · bundle
alterlab-ieu alterlab-geniml
Machine learning on genomic interval data (BED files) with the geniml Python package — region embeddings (Region2Vec), joint region+metadata embeddings (BEDspace/StarSpace), single-cell ATAC-seq embeddings (scEmbed), consensus peak sets / universes (build-universe), tokenization, BEDshift randomization, and BBClient/BEDbase caching. Use when training or using region/cell embeddings, clustering scATAC-seq, building a tokenization universe from BED collections, or any ML/feature-learning task over genomic regions. NOT for plain interval arithmetic (overlap/intersect/merge counts) — that is gtars, not geniml. Part of the AlterLab Academic Skills suite.
60 · bundle