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GitHub / open-mmlab / mmselfsup

OpenMMLab Self-Supervised Learning Toolbox and Benchmark

JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/open-mmlab%2Fmmselfsup

Stars: 3,079
Forks: 425
Open Issues: 54

License: apache-2.0
Language: Python
Repo Size: 3.39 MB
Dependencies: 57

Created: almost 4 years ago
Updated: 20 days ago
Last pushed: 11 months ago
Last synced: 19 days ago

Commit Stats

Commits: 537
Authors: 40
Mean commits per author: 13.43
Development Distribution Score: 0.754
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/open-mmlab/mmselfsup

Topics: beit, mae, masked-image-modeling, moco, pytorch, self-supervised-learning, simclr, simsiam, unsupervised-learning

Files

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Readme

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Dependencies

.github/workflows/lint.yml actions

actions/checkout v3 composite
actions/setup-python v4 composite

.github/workflows/merge_stage_test.yml actions

actions/checkout v3 composite
actions/setup-python v4 composite
codecov/codecov-action v2 composite

.github/workflows/pr_stage_test.yml actions

actions/checkout v3 composite
actions/setup-python v4 composite
codecov/codecov-action v1.0.14 composite

.github/workflows/publish-to-pypi.yml actions

actions/checkout v3 composite
actions/setup-python v4 composite

.github/workflows/test_mim.yml actions

actions/checkout v3 composite
actions/setup-python v4 composite

.circleci/docker/Dockerfile docker

pytorch/pytorch ${PYTORCH}-cuda${CUDA}-cudnn${CUDNN}-devel build

docker/Dockerfile docker

pytorch/pytorch ${PYTORCH}-cuda${CUDA}-cudnn${CUDNN}-devel build

requirements/docs.txt pypi

docutils ==0.16.0
markdown >=3.4.0
modelindex *
myst_parser *
recommonmark *
sphinx ==4.0.2
sphinx-copybutton *
sphinx_markdown_tables >=0.0.16
sphinx_rtd_theme ==0.5.2

requirements/mminstall.txt pypi

mmcls >=1.0.0rc6,<1.1.0
mmcv >=2.0.0rc4,<2.1.0
mmengine >=0.4.0,<1.0.0

requirements/optional.txt pypi

faiss-gpu ==1.7.2
pandas *

requirements/readthedocs.txt pypi

mmcls >=1.0.0rc6
mmcv >=2.0.0rc4
mmdet >=3.0.0rc0
mmengine >=0.4.0
mmselfsup >=1.0.0rc6
scikit-learn *
torch *
torchvision *

requirements/runtime.txt pypi

attrs *
einops *
future *
matplotlib *
mmcls >=1.0.0rc6,<1.1.0
numpy *
packaging *
scikit-learn *
scipy *
six *
tensorboard *
tqdm *

requirements/tests.txt pypi

asynctest * test
coverage * test
flake8 * test
interrogate * test
isort ==5.10.1 test
kwarray * test
pytest * test
xdoctest >=0.10.0 test
yapf * test

requirements.txt pypi

setup.py pypi