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
Learning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)
OpenMMLab Foundational Library for Training Deep Learning Models
$ npx skills add open-mmlab/mmengineOne-step image-to-image with Stable Diffusion turbo: sketch2image, day2night, and more
$ npx skills add GaParmar/img2img-turboAn open-source framework for training large multimodal models.
$ npx skills add mlfoundations/open_flamingoThe PyTorch improved version of TPAMI 2017 paper: Face Alignment in Full Pose Range: A 3D Total Solution.
$ npx skills add cleardusk/3DDFAOpen Machine Learning course
$ npx skills add girafe-ai/ml-course3D ResNets for Action Recognition (CVPR 2018)
$ npx skills add kenshohara/3D-ResNets-PyTorchPyTorch implementation of DeepLabV3, trained on the Cityscapes dataset.
$ npx skills add fregu856/deeplabv3Automatically 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-LearningToPaintTorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
$ npx skills add torchgeo/torchgeoGated-Shape CNN for Semantic Segmentation (ICCV 2019)
$ npx skills add nv-tlabs/GSCNNScenic: A Jax Library for Computer Vision Research and Beyond
$ npx skills add google-research/scenicA python library for self-supervised learning on images.
$ npx skills add lightly-ai/lightlyDemo for the "Talking Head Anime from a Single Image."
$ npx skills add pkhungurn/talking-head-anime-demoA modular high-level library to train embodied AI agents across a variety of tasks and environments.
$ npx skills add facebookresearch/habitat-labAn open source library and framework for deep learning on satellite and aerial imagery.
$ npx skills add azavea/raster-visionHow 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 AdaptSegNet 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.