open-mmlab/mmselfsup

Health v2 · maintenance only

Adoption not part of the score

3302 stars · 438 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

OpenMMLab's PyTorch-based toolbox and benchmark for self-supervised and unsupervised visual representation learning. It provides implementations of methods like MoCo, SimCLR, SimSiam, MAE, and BEiT with a model zoo of pre-trained backbones.

Use cases

• train self-supervised image models with moco or simclr
• pretrain vision transformers with masked image modeling
• benchmark unsupervised representation learning methods
• get pretrained backbones for downstream image classification
• reproduce mae or beit pretraining results in pytorch

When to choose

• you need a unified PyTorch framework to train or compare self-supervised vision algorithms
• you want ready-made configs and model zoo checkpoints for SSL methods
• you are already in the OpenMMLab ecosystem

When to avoid

• you need supervised classification or detection out of the box - use MMPreTrain or MMDetection instead
• you need actively developed features - the repo has been superseded by MMPreTrain and releases stopped in 2023

Facets

framework · maturity maintenance

machine-learning deep-learning machine-learning computer-vision deep-learning python self-supervised-learning pytorch moco simclr simsiam mae masked-image-modeling beit benchmark openmmlab gpu

Member repositories

For agents

markdown · JSON · MCP: product_card(name="open-mmlab/mmselfsup")