OpenMMLab Foundational Library for Training Deep Learning Models
$ npx skills add open-mmlab/mmengineAlternatives
Compare similar skills by workflow fit, trust score, quality, GitHub adoption, maintenance, and install readiness.
Current skill
PyTorch implementation of DeepLabV3, trained on the Cityscapes dataset.
OpenMMLab Foundational Library for Training Deep Learning Models
$ npx skills add open-mmlab/mmengine[ECCV 2022] This is the official implementation of BEVFormer, a camera-only framework for autonomous driving perception, e.g., 3D object detection and semantic map segmentation.
$ npx skills add fundamentalvision/BEVFormer:earth_americas: Simple and ready-to-use tutorials for TensorFlow
$ npx skills add astorfi/TensorFlow-WorldOpen Machine Learning course
$ npx skills add girafe-ai/ml-courseA medical imaging framework for Pytorch
$ npx skills add perone/medicaltorch3D ResNets for Action Recognition (CVPR 2018)
$ npx skills add kenshohara/3D-ResNets-PyTorchAutomatically remove the mosaics in images and videos, or add mosaics to them.
$ npx skills add HypoX64/DeepMosaicsICCV2019 - Learning to Paint With Model-based Deep Reinforcement Learning
$ npx skills add hzwer/ICCV2019-LearningToPaintA python library for self-supervised learning on images.
$ npx skills add lightly-ai/lightlyA simple interface for editing natural photos with generative neural networks.
$ npx skills add ajbrock/Neural-Photo-EditorDemo for the "Talking Head Anime from a Single Image."
$ npx skills add pkhungurn/talking-head-anime-demoQuickly bring up your PyTorch project(a skeleton)
$ npx skills add ahangchen/torch_baseAn open source library and framework for deep learning on satellite and aerial imagery.
$ npx skills add azavea/raster-visionHigh quality, fast, modular reference implementation of SSD in PyTorch
$ npx skills add lufficc/SSD记录cv算法工程师的成长之路,分享计算机视觉和模型压缩部署技术栈笔记。https://harleyszhang.github.io/cv_note/
$ npx skills add harleyszhang/cv_noteOpenCV-Python4.1 中文文档
$ npx skills add fendouai/OpenCVTutorialsHow 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 Deeplabv3 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.