Wheelodex » Projects » corigami-demo

corigami-demo

View on PyPI — Reverse Dependencies (0)

0.0.1 corigami_demo-0.0.1-py3-none-any.whl

Wheel Details

Project: corigami-demo
Version: 0.0.1
Filename: corigami_demo-0.0.1-py3-none-any.whl
Download: [link]
Size: 25970
MD5: 08971c4e462a44a7a66ddc4486b97dd5
SHA256: d3ed0e87ecaf7d2091c759b235e1dda5a8b8a4c96b535259c1f4a175c626cdf7
Uploaded: 2022-11-28 22:00:39 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt · entry_points.txt

METADATA

Metadata-Version: 2.1
Name: corigami-demo
Version: 0.0.1
Summary: C.Origami: cell type-specific chromatin structure prediction.
Author-Email: Jimin Tan <tanjimin[at]nyu.edu>, Nina Shenker-Tauris <shenkn01[at]nyu.edu>
Maintainer-Email: Jimin Tan <tanjimin[at]nyu.edu>, Nina Shenker-Tauris <shenkn01[at]nyu.edu>
Project-Url: Homepage, https://github.com/tanjimin/C.Origami
Project-Url: Repository, https://github.com/tanjimin/C.Origami
Keywords: deep learning,chromatin,prediction,cell type-specific,epigenetics
Classifier: Programming Language :: Python
Classifier: Programming Language :: Python :: 3
Requires-Python: >=3.9
Requires-Dist: torch (>=1.12.0)
Requires-Dist: pandas (>=1.3.0)
Requires-Dist: matplotlib (>=3.3.2)
Requires-Dist: omegaconf (>=2.1.1)
Requires-Dist: tqdm (>=4.64.0)
Requires-Dist: pybigwig (==0.3.18)
Requires-Dist: pytorch-lightning (==1.5.8); extra == "training"
Requires-Dist: lightning-bolts (==0.5.0); extra == "training"
Requires-Dist: scikit-image (>=0.19.3); extra == "training"
Provides-Extra: training
Description-Content-Type: text/markdown
[Description omitted; length: 10065 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.38.4)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
corigami/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
corigami/data/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
corigami/data/chromosome_dataset.py sha256=ciyBqWzwN1rA33oL_3DPc1XdxMtOg52HPEwn4FeRyVU 7102
corigami/data/data_feature.py sha256=GAjFwn8VTJhQtrzMVAHyVWg00a5SYuFo4fnTF0v5-4g 5282
corigami/data/genome_dataset.py sha256=gV65VhGgJ0qfh_Fcysd-njpzBVuQxT-6K4CtlKJs-Wo 5652
corigami/inference/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
corigami/inference/editing.py sha256=D6mR50A0gOLOTwntrVsrsHHr49CwS-gRxwoXuNd55N8 5321
corigami/inference/prediction.py sha256=LLYxzMEsVzNhKulJB2E2XGFodVjG-qnev64KXKW4Qgw 2247
corigami/inference/screening.py sha256=OXhaDxcfl2DTeYTVNAquipvf4ZYjzmcSeQTswp_xhNQ 9300
corigami/inference/utils/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
corigami/inference/utils/inference_utils.py sha256=8OsmlMMvzYHlRbeT9qq75F49RaztEzXhvsuPpl815l0 2147
corigami/inference/utils/model_utils.py sha256=YXw-Z1TBA4lPppMgtCjV4IcQQwAkkWcGaUBmnNSMPz0 1056
corigami/inference/utils/plot_utils.py sha256=AOqT-N339K08eFEnlSJ3jwcRU_V_hW2oCnKLG9jRnEg 9677
corigami/model/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
corigami/model/blocks.py sha256=0-FWxLKR45tjLMf0bEBQH3mawSfBJqbSu3Otp6rwwWk 9176
corigami/model/corigami_models.py sha256=_CwVI9OwJD0TuEFsNqNrzMxG1A4Vm2KBFfTSz7LZhwE 2228
corigami/training/main.py sha256=7XWeXdSz_2yX_7LvCPz8tMqq5U7-QqRUNQ7tvQ7i6Ms 9177
corigami_demo-0.0.1.dist-info/METADATA sha256=fn1wohJ3uZAUVLkUhg5N0zbEy695YHZJUMbJGDAuSgs 11135
corigami_demo-0.0.1.dist-info/WHEEL sha256=2wepM1nk4DS4eFpYrW1TTqPcoGNfHhhO_i5m4cOimbo 92
corigami_demo-0.0.1.dist-info/entry_points.txt sha256=xBzGhpeH_RFsYel2R4a66IXLSE9PEzNO8FZgstnTEd0 217
corigami_demo-0.0.1.dist-info/top_level.txt sha256=90yUhwvFu3qmU4_Ivkz9sni8O8hmwAZp6Hizv7EzHYE 9
corigami_demo-0.0.1.dist-info/RECORD — —

top_level.txt

corigami

entry_points.txt

[console_scripts]
corigami-edit = corigami.inference.editing:main
corigami-predict = corigami.inference.prediction:main
corigami-screen = corigami.inference.screening:main
corigami-train = corigami.training.main:main