A platform-neutral analytical skill that profiles messy data, selects adaptive methods, and produces source-backed visual reports for high-stakes decisions.
Annuaire de skills
Découvrez des skills réutilisables pour les AI agents.
Chaque recommandation reste clairement reliée à son dépôt, son audit et son chemin d’installation.
Résultats de recherche: uncertainty-estimation
Annuaire en anglaisOpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
A principles-first workflow for AI coding agents providing reusable phases and end-to-end workflows for software development tasks.
An agent skill that transforms AI assistants into expert economics paper writers by synthesizing best practices from over 50 authoritative guides.
Core Python library for astronomy and astrophysics workflows that need Astropy APIs, including units/quantities, coordinates, FITS I/O, tables, time systems, WCS, and cosmology. Use when implementing or debugging astronomical data analysis code with Astropy.
Code repo for realtime multi-person pose estimation in CVPR'17 (Oral)
[ICCV 2019] Monocular depth estimation from a single image
Data Analysis with Bootstrap Estimation in R
Open-source framework for uncertainty and deep learning models in PyTorch 🌱
Deep learned, NVIDIA-accelerated 3D object pose estimation
Laser Odometry and Mapping (Loam) is a realtime method for state estimation and mapping using a 3D lidar.
A simple baseline for 3d human pose estimation in tensorflow. Presented at ICCV 17.