Plugins
10 plugins@sirnosh
Bmad ML Oc
Bmad ML Oc from SirNosh/bmad-ml.
22 skills · plugin
@sirnosh
Bmad ML Gen
Bmad ML Gen from SirNosh/bmad-ml.
4 skills · plugin
@theheavenlyd3mon
Mlops
Mlops from theheavenlyd3mon/hermes-profiles.
8 skills · plugin
curated
ML Model Lifecycle
Train, evaluate, and deploy a production ML system with monitoring.
10 skills · plugin
@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 · plugin
curated
Data & ML
SQL, analytics, datasets, models and machine-learning workflows.
29 skills · plugin
curated
GKE Batch & Inference
For teams running batch/HPC and AI/ML inference workloads on GKE with specialized hardware.
2 skills · plugin
curated
Deploy AI Inference on GKE
Deploy and optimize AI/ML inference workloads on GKE using GPUs, TPUs, and model servers.
3 skills · plugin
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 · plugin
@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 · plugin
Results for “ml”
10 skills
orchestra-research Modal Serverless Gpu
Run ML workloads on Modal's serverless GPU cloud platform with auto-scaling, pay-per-second pricing, and Python-native infrastructure.
10.4k · bundle
lord1egypt Modal Serverless Gpu
Run ML workloads on Modal's serverless GPU cloud: deploy models as auto-scaling APIs, run batch jobs, and schedule tasks with pay-per-second GPU pricing.
2
microsoft Azure Mgmt Weightsandbiases Dotnet
Manage Weights & Biases ML experiment tracking instances on Azure using the .NET SDK. Create, configure, list, update, and delete W&B instances with marketplace integration and SSO.
2.7k
google Gke Inference
Deploys and optimizes AI/ML inference workloads on GKE, using GPUs, TPUs, and model servers.
14.4k
More results
lingxling Modal
Deploy and scale Python AI/ML workloads on Modal's serverless cloud, including GPU compute, web endpoints, scheduled jobs, and persistent storage.
253 · 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
microsoft Azure AI Ml Py
Manage Azure Machine Learning resources including workspaces, jobs, models, data, compute, and pipelines using the SDK v2 for Python.
2.7k
k-dense-ai Modal
Deploy and serve AI/ML models on Modal's serverless cloud platform with on-demand GPUs, autoscaling containers, persistent storage, and scheduled jobs.
30.2k · bundle
orchestra-research Skypilot Multi Cloud Orchestration
Run ML training and batch jobs across multiple clouds with automatic cost optimization, spot instance recovery, and unified orchestration.
10.4k · bundle
orchestra-research Lambda Labs Gpu Cloud
Manage and use Lambda Labs GPU cloud instances for ML training and inference with SSH access, persistent filesystems, and multi-node clusters.
10.4k · bundle