🐍 Geometric Computer Vision Library for Spatial AI
$ npx skills add kornia/korniaAlternatives
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
MICA - Towards Metrical Reconstruction of Human Faces [ECCV2022]
🐍 Geometric Computer Vision Library for Spatial AI
$ npx skills add kornia/korniaTensors and Dynamic neural networks in Python with strong GPU acceleration
$ npx skills add pytorch/pytorchDatasets, Transforms and Models specific to Computer Vision
$ npx skills add pytorch/visionRF-DETR is a real-time object detection and segmentation model architecture developed by Roboflow, SOTA on COCO, designed for fine-tuning. [ICLR 2026]
$ npx skills add roboflow/rf-detrAn Open Source Machine Learning Framework for Everyone
$ npx skills add tensorflow/tensorflowPArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice (『飞桨』核心框架,深度学习&机器学习高性能单机、分布式训练和跨平台部署)
$ npx skills add PaddlePaddle/Paddle⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.
$ npx skills add ageron/handson-mlA toolkit for making real world machine learning and data analysis applications in C++
$ npx skills add davisking/dlibPretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
$ npx skills add Lightning-AI/pytorch-lightningDeep Learning for humans
$ npx skills add keras-team/kerasWe write your reusable computer vision tools. 💜
$ npx skills add roboflow/supervision🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools
$ npx skills add huggingface/datasetsUltralytics YOLO 🚀
$ npx skills add ultralytics/ultralytics🦉 Data Versioning and ML Experiments
$ npx skills add treeverse/dvcPyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
$ npx skills add DLR-RM/stable-baselines3NLTK Source
$ npx skills add nltk/nltkHow to choose
Use an alternative when it has a clearer install path, higher trust score, fresher maintenance, or better platform fit for your current agent stack. Keep MICA if it already passes your workflow test and repository review.
Next step
Open the compare page, test the install commands in a sandbox, and check each repository before using a skill in production.