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”
15 skillstechnology-selection
Guides technology selection and implementation of AI and ML features in .NET 8+ applications using ML.NET, Microsoft.Extensions.AI, Microsoft Agent Framework, GitHub Copilot SDK, ONNX Runtime, and OllamaSharp.
4k
huggingface-gradio
Build interactive web UIs and ML demos in Python using Gradio's core API, components, and patterns.
10.8k · bundle
nemo-mbridge-mlm-bridge-training
Run Megatron-LM (MLM) and Megatron Bridge training with mock or real data, covering correlation testing, available recipes, and multi-GPU examples.
2.2k · bundle
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
huggingface-trackio
Track and visualize ML training experiments with Trackio, including logging metrics, firing alerts, and retrieving data via CLI. Supports real-time dashboards, webhook alerts, and HF Space syncing.
10.8k · bundle
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
More results
gke-inference
Deploys and optimizes AI/ML inference workloads on GKE, using GPUs, TPUs, and model servers.
14.4k
camerax
Provides procedural guidance and standard patterns for building Android camera applications with CameraX, including Camera2Interop, Media3 integrations, and handling hardware diversity.
6.1k · bundle
bigquery-bigframes
Generates Python code using BigQuery DataFrames (BigFrames), the pandas/scikit-learn-style API over BigQuery, for dataframe and ML workflows.
14.4k
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
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
cudaq-guide
Guide users through installing CUDA-Q, writing quantum kernels, running GPU-accelerated simulations, connecting to QPU hardware, and exploring built-in applications.
2.2k · bundle
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
bigquery-ai-ml
Run machine learning and generative AI tasks directly in BigQuery SQL using built-in functions for forecasting, anomaly detection, key driver analysis, and text generation.
14.4k · bundle
nemo-mbridge-perf-cuda-graphs
Validate and use CUDA graph capture in Megatron Bridge, including local full-iteration graphs and Transformer Engine scoped graphs for attention, MLP, and MoE modules.
2.2k · bundle