TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
$ npx skills add torchgeo/torchgeoAlternatives
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
An open source library and framework for deep learning on satellite and aerial imagery.
TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
$ npx skills add torchgeo/torchgeoA Unified Semi-Supervised Learning Codebase (NeurIPS'22)
$ npx skills add microsoft/Semi-supervised-learningA python library for self-supervised learning on images.
$ npx skills add lightly-ai/lightlyOpenMMLab Foundational Library for Training Deep Learning Models
$ npx skills add open-mmlab/mmengineOpen Machine Learning course
$ npx skills add girafe-ai/ml-courseDeep Learning toolkit for Computer Vision.
$ npx skills add tryolabs/luminothAn all-in-one toolkit for computer vision
$ npx skills add alibaba/EasyCVDemo for the "Talking Head Anime from a Single Image."
$ npx skills add pkhungurn/talking-head-anime-demoHigh quality, fast, modular reference implementation of SSD in PyTorch
$ npx skills add lufficc/SSDOpenCV-Python4.1 中文文档
$ npx skills add fendouai/OpenCVTutorialsA PyTorch-based library for semi-supervised learning (NeurIPS'21)
$ npx skills add TorchSSL/TorchSSLDemo programs for the Talking Head Anime from a Single Image 2: More Expressive project.
$ npx skills add pkhungurn/talking-head-anime-2-demoCorruption and Perturbation Robustness (ICLR 2019)
$ npx skills add hendrycks/robustnessPruna is a model optimization framework built for developers, enabling you to deliver faster, more efficient models with minimal overhead.
$ npx skills add PrunaAI/prunaCVNets: A library for training computer vision networks
$ npx skills add apple/ml-cvnetsImage Test Time Augmentation with PyTorch!
$ npx skills add qubvel/ttachHow 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 Raster Vision 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.