deeplense-domain-adaptation

View on PyPIReverse Dependencies (0)

1.0.0 deeplense_domain_adaptation-1.0.0-py3-none-any.whl

Wheel Details

Project: deeplense-domain-adaptation
Version: 1.0.0
Filename: deeplense_domain_adaptation-1.0.0-py3-none-any.whl
Download: [link]
Size: 28122
MD5: 4c70a599f8ee7d98a219fef6cd7f0320
SHA256: 59d8ee4d32bada4f634ce668892d9a7b9c165bc4e82f22728379c5a0bb4b0c89
Uploaded: 2021-12-23 20:34:25 +0000

dist-info

METADATA

Metadata-Version: 2.1
Name: deeplense-domain-adaptation
Version: 1.0.0
Summary: A PyTorch-based collection of Unsupervised Domain Adaptation methods applied to strong gravitational lenses
Author: Marcos Tidball
Author-Email: marcostidball[at]gmail.com
Home-Page: https://github.com/zysymu/DeepLense-Domain-Adaptation
License: MIT
Keywords: Gravitational Lensing,Unsupervised Domain Adaptation,Deep Learning,Dark Matter
Classifier: Development Status :: 4 - Beta
Classifier: License :: OSI Approved :: MIT License
Requires-Dist: numpy (==1.21.2)
Requires-Dist: torch (==1.9.1)
Requires-Dist: torchvision (==0.10.1)
Requires-Dist: e2cnn (==0.1.7)
Requires-Dist: geffnet (==1.0.2)
Requires-Dist: matplotlib (==3.4.3)
Requires-Dist: scikit-learn (==0.24.2)
Requires-Dist: scipy (==1.7.1)
Requires-Dist: seaborn (==0.11.2)
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 3845 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.37.1)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
deeplense_domain_adaptation/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
deeplense_domain_adaptation/algorithms/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
deeplense_domain_adaptation/algorithms/adamatch.py sha256=67jx8t8Kv1qrDGJB5sL6gIRL9PNbCHS1WbyBRwSsQcY 12628
deeplense_domain_adaptation/algorithms/adda.py sha256=s63wh8YAbDa9k_e1VL1IOK3V6u4EvA5thUkCx1z8iDE 10131
deeplense_domain_adaptation/algorithms/cgdm.py sha256=8uIGqYrwml92rxKmuRf0SGMqKEttSSP1C2xUk5wH80Q 22884
deeplense_domain_adaptation/algorithms/self_ensemble.py sha256=peAHWfBcLwtpKG0TjscKErHCDs8sJFRxa1TWb-Nui0o 13624
deeplense_domain_adaptation/algorithms/supervised.py sha256=Z-0_hFmAsjQW2LkPGuJQKHA7d5cmwctMh_ahHkO8sPI 11000
deeplense_domain_adaptation/data/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
deeplense_domain_adaptation/data/augmentations.py sha256=rJhoKqECR2DgcwJmUSZ9Wzjff-6a2Wtzz8dvG9F1go8 7594
deeplense_domain_adaptation/data/dataset.py sha256=dq1pd5JjzQu1JuM4uaqdZQB-EJGZjEZmi7wl-Lbp16U 2814
deeplense_domain_adaptation/data/hyperparams.py sha256=IoTTN1z6fek0f1syaxdvZzo7BiEwYVTnB0iCTiev1pY 3717
deeplense_domain_adaptation/networks/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
deeplense_domain_adaptation/networks/discriminator.py sha256=RIdSqGMF4OvoJtFYOELEfvQQAc-AxI-i2UKc3HAsPzU 866
deeplense_domain_adaptation/networks/equivariant.py sha256=xSbEsZaQ-XGX711564msLMtmGrZXNTFpcQ_QN1vu8rM 4968
deeplense_domain_adaptation/networks/resnet.py sha256=fLwtzJWBWZK20A9b-bCrJTUS-Pc2OqxY0Qg8q9Uy3gk 1992
deeplense_domain_adaptation-1.0.0.dist-info/LICENSE sha256=qyo3D4BxFfl_OOYVUDhTqnYStKfMCr8IRykzwu_bu3M 1092
deeplense_domain_adaptation-1.0.0.dist-info/METADATA sha256=90DzC4kDwWR-Nvbdi7PhMbniMkc7zv3zMq5hTBtiB1Y 4741
deeplense_domain_adaptation-1.0.0.dist-info/WHEEL sha256=G16H4A3IeoQmnOrYV4ueZGKSjhipXx8zc8nu9FGlvMA 92
deeplense_domain_adaptation-1.0.0.dist-info/top_level.txt sha256=XbNqj05OjEN2tdqOq4v7uAVmPH8M7Ul72s8zI230Cfs 28
deeplense_domain_adaptation-1.0.0.dist-info/RECORD

top_level.txt

deeplense_domain_adaptation