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GitHub / facebookresearch / fastMRI
A large-scale dataset of both raw MRI measurements and clinical MRI images.
JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/facebookresearch%2FfastMRI
Stars: 1,239
Forks: 368
Open Issues: 14
License: mit
Language: Python
Repo Size: 1.31 MB
Dependencies:
34
Created: over 5 years ago
Updated: about 1 month ago
Last pushed: 4 months ago
Last synced: about 1 month ago
Commit Stats
Commits: 223
Authors: 23
Mean commits per author: 9.7
Development Distribution Score: 0.39
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/facebookresearch/fastMRI
Topics: convolutional-neural-networks, deep-learning, fastmri, fastmri-challenge, fastmri-dataset, medical-imaging, mri, mri-reconstruction, pytorch
Files
Dependencies
- async_generator *
- dask >=1.2.2
- h5py *
- ipython *
- ismrmrd *
- jupyter *
- matplotlib *
- nose *
- numpy *
- pandas *
- pydantic >=0.21
- pyyaml *
- runstats *
- scikit-image *
- scipy *
- sympy *
- tensorboardX *
- typing_extensions *
- PyYAML ==5.4.1
- h5py ==2.10.0
- numpy ==1.18.5
- pytorch_lightning ==1.0.6
- runstats ==2.0.0
- scikit_image ==0.16.2
- torch ==1.7.0
- torchmetrics ==0.3.2
- torchvision ==0.8.1
- wandb ==0.12.7
- actions/cache v2 composite
- actions/checkout v2 composite
- actions/setup-python v2 composite
- actions/checkout v2 composite
- actions/setup-python v2 composite
- pypa/gh-action-pypi-publish 27b31702a0e7fc50959f5ad993c78deac1bdfc29 composite