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”
6 skills
mhassan0000 Mle Workflow
Turns model work into a production ML system with data contracts, reproducible training, quality gates, deployable artifacts, and monitoring.
1
sakamoto-family-smile Mle Workflow
Turn model work into a production ML system with data contracts, reproducible training, quality gates, deployable artifacts, and monitoring.
0
huggingface Huggingface Zerogpu
Build ML demos on Hugging Face Spaces with ZeroGPU hardware, covering @spaces.GPU decorator usage, duration and quota tuning, process isolation, CUDA availability model, concurrency safety, and build constraints.
10.8k · bundle
More results
google-gemma Gemma Dev
Selects the right Gemma model for a task, recommends deployment tooling (Gradio, Transformers.js, Vertex AI, MLX), and applies optimizations like MTP and QAT.
· bundle
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
huggingface Huggingface Spaces
Create, deploy, and debug machine learning applications on Hugging Face Spaces using Gradio, Docker, or Static SDKs, with support for ZeroGPU and dedicated hardware.
10.8k · bundle