AI & Machine Learning skills

Accelerated Computing Cudf

Official NVIDIA-authored guidance for NVIDIA cuDF GPU DataFrames, pandas acceleration, dask-cuDF, ETL, joins, groupby, CSV/Parquet I/O, nullable semantics, and multi-GPU DataFrame workloads.

Amc Run RTSP Calibration

Calibrate a new dataset from live RTSP camera streams via the AutoMagicCalib REST API.

Amc Run Sample Calibration

Run end-to-end calibration on the shipped sample dataset (sdg082sampledata010926.zip) against a running AMC microservice.

Amc Run Video Calibration

Calibrates pre-recorded cam.mp4 datasets through the AutoMagicCalib REST API. Use for user-supplied local MP4s; route live RTSP streams to amc-run-rtsp-calibration.

Amc Setup Calibration Stack

Launch AutoMagicCalib microservice and web UI from NGC release images via Docker Compose.

Aspnet Core

Build, review, refactor, or architect ASP.NET Core web applications using current official guidance for .NET web development.

Azure AI Projects for Python

Build AI applications using the Azure AI Projects Python SDK (azure-ai-projects).

Chatgpt Apps

Build, scaffold, refactor, and troubleshoot ChatGPT Apps SDK applications that combine an MCP server and widget UI.

Claude API

Reference for the Claude API / Anthropic SDK — model ids, pricing, params, streaming, tool use, MCP, agents, caching, token counting, model migration. TRIGGER — read BEFORE opening the target file; don't skip because it "looks like a…

CLI Creator

Build a composable CLI for Codex from API docs, an OpenAPI spec, existing curl examples, an SDK, a web app, an admin tool, or a local script.

Cloudflare Agents SDK

Build, debug, or review Cloudflare Agents SDK applications using the agents package.

Cloudflare Deploy

Deploy applications and infrastructure to Cloudflare using Workers, Pages, and related platform services.

Cudaq Guide

Use for CUDA-Q setup, simulation targets, QPU access, and @cudaq.kernel authoring guidance.

Cudaq Importing

Guidance for tasks where porting circuits from another framework (e.g. Qiskit) into CUDA-Q kernels while preserving the source algorithm and validation fidelity.

Cuopt Developer

Modify, build, test, debug, and contribute to NVIDIA cuOpt (C++/CUDA, Python, server, CI). Use for solver internals, PRs, DCO, and code conventions.

Cuopt Install

Install cuOpt for Python, C, or server via pip, conda, or Docker; verify the install. For building cuOpt from source, see cuopt-developer.

Cuopt Multi Objective Exploration

Trace, complete, and interpret the Pareto frontier across competing objectives using repeated single-objective cuOpt solves (weighted-sum and ε-constraint).

Cuopt Numerical Optimization API

LP, MILP, and QP (beta) with cuOpt — Python, C, and CLI.

Cuopt Numerical Optimization Formulation

LP, MILP, QP — concepts, problem-text parsing, and formulation patterns (parameters, constraints, decisions, objective). Concepts only; no API.

Cuopt Routing API Python

Vehicle routing (VRP, TSP, PDP) with cuOpt — Python API only.