Datasets, Transforms and Models specific to Computer Vision
$ npx skills add pytorch/visionAlternatives
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
Tensorflow implementation of Enhanced Deep Residual Networks for Single Image Super-Resolution
Datasets, Transforms and Models specific to Computer Vision
$ npx skills add pytorch/visionPretrain, 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/kerasThe world's simplest facial recognition api for Python and the command line
$ npx skills add ageitgey/face_recognitionNLTK Source
$ npx skills add nltk/nltkA hyperparameter optimization framework
$ npx skills add optuna/optuna๐ Geometric Computer Vision Library for Spatial AI
$ npx skills add kornia/korniaA python library for user-friendly forecasting and anomaly detection on time series.
$ npx skills add unit8co/dartsCore ML tools contain supporting tools for Core ML model conversion, editing, and validation.
$ npx skills add apple/coremltoolsAn Open Source Machine Learning Framework for Everyone
$ npx skills add tensorflow/tensorflowWe write your reusable computer vision tools. ๐
$ npx skills add roboflow/supervision๐ค 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 ๐
$ npx skills add ultralytics/ultralyticsTensors and Dynamic neural networks in Python with strong GPU acceleration
$ npx skills add pytorch/pytorchPyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
$ npx skills add DLR-RM/stable-baselines3Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
$ npx skills add jacobgil/pytorch-grad-camHow 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 EDSR Tensorflow 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.