Wheelodex » Projects » lightning-uq-box

lightning-uq-box

View on PyPI — Reverse Dependencies (0)

0.1.0 lightning_uq_box-0.1.0-py3-none-any.whl

Wheel Details

Project: lightning-uq-box
Version: 0.1.0
Filename: lightning_uq_box-0.1.0-py3-none-any.whl
Download: [link]
Size: 162181
MD5: 908da53f038df1f702def0fe3547963a
SHA256: c5fdb42d31b1d36f32da6000212d6d2df7127bfd3db20750fa7879355fd16fcb
Uploaded: 2024-03-13 16:43:16 +0000

dist-info

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

METADATA

Metadata-Version: 2.1
Name: lightning-uq-box
Version: 0.1.0
Summary: Lighning-UQ-Box: A toolbox for uncertainty quantification in deep learning
Author-Email: Nils Lehmann <n.lehmann[at]tum.de>
Maintainer-Email: Nils Lehmann <n.lehmann[at]tum.de>
License: Apache License Version 2.0, January 2004 http://www.apache.org/licenses/ TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION 1. Definitions. "License" shall mean the terms and conditions for use, reproduction, and distribution as defined by Sections 1 through 9 of this document. "Licensor" shall mean the copyright owner or entity authorized by the copyright owner that is granting the License. "Legal Entity" shall mean the union of the acting entity and all other entities that control, are controlled by, or are under common control with that entity. For the purposes of this definition, "control" means (i) the power, direct or indirect, to cause the direction or management of such entity, whether by contract or otherwise, or (ii) ownership of fifty percent (50%) or more of the outstanding shares, or (iii) beneficial ownership of such entity. "You" (or "Your") shall mean an individual or Legal Entity exercising permissions granted by this License. "Source" form shall mean the preferred form for making modifications, including but not limited to software source code, documentation source, and configuration files. "Object" form shall mean any form resulting from mechanical transformation or translation of a Source form, including but not limited to compiled object code, generated documentation, and conversions to other media types. "Work" shall mean the work of authorship, whether in Source or Object form, made available under the License, as indicated by a copyright notice that is included in or attached to the work (an example is provided in the Appendix below). "Derivative Works" shall mean any work, whether in Source or Object form, that is based on (or derived from) the Work and for which the editorial revisions, annotations, elaborations, or other modifications represent, as a whole, an original work of authorship. For the purposes of this License, Derivative Works shall not include works that remain separable from, or merely link (or bind by name) to the interfaces of, the Work and Derivative Works thereof. "Contribution" shall mean any work of authorship, including the original version of the Work and any modifications or additions to that Work or Derivative Works thereof, that is intentionally submitted to Licensor for inclusion in the Work by the copyright owner or by an individual or Legal Entity authorized to submit on behalf of the copyright owner. For the purposes of this definition, "submitted" means any form of electronic, verbal, or written communication sent to the Licensor or its representatives, including but not limited to communication on electronic mailing lists, source code control systems, and issue tracking systems that are managed by, or on behalf of, the Licensor for the purpose of discussing and improving the Work, but excluding communication that is conspicuously marked or otherwise designated in writing by the copyright owner as "Not a Contribution." "Contributor" shall mean Licensor and any individual or Legal Entity on behalf of whom a Contribution has been received by Licensor and subsequently incorporated within the Work. 2. Grant of Copyright License. Subject to the terms and conditions of this License, each Contributor hereby grants to You a perpetual, worldwide, non-exclusive, no-charge, royalty-free, irrevocable copyright license to reproduce, prepare Derivative Works of, publicly display, publicly perform, sublicense, and distribute the Work and such Derivative Works in Source or Object form. 3. Grant of Patent License. Subject to the terms and conditions of this License, each Contributor hereby grants to You a perpetual, worldwide, non-exclusive, no-charge, royalty-free, irrevocable (except as stated in this section) patent license to make, have made, use, offer to sell, sell, import, and otherwise transfer the Work, where such license applies only to those patent claims licensable by such Contributor that are necessarily infringed by their Contribution(s) alone or by combination of their Contribution(s) with the Work to which such Contribution(s) was submitted. If You institute patent litigation against any entity (including a cross-claim or counterclaim in a lawsuit) alleging that the Work or a Contribution incorporated within the Work constitutes direct or contributory patent infringement, then any patent licenses granted to You under this License for that Work shall terminate as of the date such litigation is filed. 4. Redistribution. You may reproduce and distribute copies of the Work or Derivative Works thereof in any medium, with or without modifications, and in Source or Object form, provided that You meet the following conditions: (a) You must give any other recipients of the Work or Derivative Works a copy of this License; and (b) You must cause any modified files to carry prominent notices stating that You changed the files; and (c) You must retain, in the Source form of any Derivative Works that You distribute, all copyright, patent, trademark, and attribution notices from the Source form of the Work, excluding those notices that do not pertain to any part of the Derivative Works; and (d) If the Work includes a "NOTICE" text file as part of its distribution, then any Derivative Works that You distribute must include a readable copy of the attribution notices contained within such NOTICE file, excluding those notices that do not pertain to any part of the Derivative Works, in at least one of the following places: within a NOTICE text file distributed as part of the Derivative Works; within the Source form or documentation, if provided along with the Derivative Works; or, within a display generated by the Derivative Works, if and wherever such third-party notices normally appear. The contents of the NOTICE file are for informational purposes only and do not modify the License. You may add Your own attribution notices within Derivative Works that You distribute, alongside or as an addendum to the NOTICE text from the Work, provided that such additional attribution notices cannot be construed as modifying the License. You may add Your own copyright statement to Your modifications and may provide additional or different license terms and conditions for use, reproduction, or distribution of Your modifications, or for any such Derivative Works as a whole, provided Your use, reproduction, and distribution of the Work otherwise complies with the conditions stated in this License. 5. Submission of Contributions. Unless You explicitly state otherwise, any Contribution intentionally submitted for inclusion in the Work by You to the Licensor shall be under the terms and conditions of this License, without any additional terms or conditions. Notwithstanding the above, nothing herein shall supersede or modify the terms of any separate license agreement you may have executed with Licensor regarding such Contributions. 6. Trademarks. This License does not grant permission to use the trade names, trademarks, service marks, or product names of the Licensor, except as required for reasonable and customary use in describing the origin of the Work and reproducing the content of the NOTICE file. 7. Disclaimer of Warranty. Unless required by applicable law or agreed to in writing, Licensor provides the Work (and each Contributor provides its Contributions) on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied, including, without limitation, any warranties or conditions of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A PARTICULAR PURPOSE. You are solely responsible for determining the appropriateness of using or redistributing the Work and assume any risks associated with Your exercise of permissions under this License. 8. Limitation of Liability. In no event and under no legal theory, whether in tort (including negligence), contract, or otherwise, unless required by applicable law (such as deliberate and grossly negligent acts) or agreed to in writing, shall any Contributor be liable to You for damages, including any direct, indirect, special, incidental, or consequential damages of any character arising as a result of this License or out of the use or inability to use the Work (including but not limited to damages for loss of goodwill, work stoppage, computer failure or malfunction, or any and all other commercial damages or losses), even if such Contributor has been advised of the possibility of such damages. 9. Accepting Warranty or Additional Liability. While redistributing the Work or Derivative Works thereof, You may choose to offer, and charge a fee for, acceptance of support, warranty, indemnity, or other liability obligations and/or rights consistent with this License. However, in accepting such obligations, You may act only on Your own behalf and on Your sole responsibility, not on behalf of any other Contributor, and only if You agree to indemnify, defend, and hold each Contributor harmless for any liability incurred by, or claims asserted against, such Contributor by reason of your accepting any such warranty or additional liability. END OF TERMS AND CONDITIONS APPENDIX: How to apply the Apache License to your work. To apply the Apache License to your work, attach the following boilerplate notice, with the fields enclosed by brackets "[]" replaced with your own identifying information. (Don't include the brackets!) The text should be enclosed in the appropriate comment syntax for the file format. We also recommend that a file or class name and description of purpose be included on the same "printed page" as the copyright notice for easier identification within third-party archives. Copyright 2024 lightning-uq-box Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License.
Keywords: pytorch,lightning,uncertainty quantification,conformal prediction,bayesian deep learning
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.9
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Requires-Python: >=3.9
Requires-Dist: einops (>=0.3)
Requires-Dist: lightning (>=2.1.1)
Requires-Dist: matplotlib (>=3.3.3)
Requires-Dist: numpy (>=1.19.3)
Requires-Dist: pandas (>=1.1.3)
Requires-Dist: torch (>=2.0)
Requires-Dist: torchmetrics (>=1.2)
Requires-Dist: torchvision (>=0.16.1)
Requires-Dist: scikit-learn (>=1.3)
Requires-Dist: gpytorch (>=1.11)
Requires-Dist: laplace-torch (>=0.1a2)
Requires-Dist: uncertainty-toolbox (>=0.1.1)
Requires-Dist: kornia (>=0.6.9)
Requires-Dist: timm (>=0.9.2)
Requires-Dist: torchseg (>=0.0.1a1)
Requires-Dist: pytest (>=7.3); extra == "dev"
Requires-Dist: pytest-cov (>=4); extra == "dev"
Requires-Dist: pytest-lazy-fixture (>=0.6); extra == "dev"
Requires-Dist: hydra-core (>=1.3.2); extra == "dev"
Requires-Dist: omegaconf (>=2.3.0); extra == "dev"
Requires-Dist: sphinx (<7,>=4); extra == "dev"
Requires-Dist: ipywidgets (>=7); extra == "dev"
Requires-Dist: nbsphinx (>=0.8.5); extra == "dev"
Requires-Dist: sphinx-book-theme (>=1.0.1); extra == "dev"
Requires-Dist: myst-parser (>=2.0); extra == "dev"
Requires-Dist: sphinx-togglebutton (>=0.3.2); extra == "dev"
Requires-Dist: jupytext (>=1.15.2); extra == "dev"
Requires-Dist: ipykernel (>=6.29.3); extra == "dev"
Requires-Dist: black[jupyter] (>=21.8); extra == "dev"
Requires-Dist: flake8 (>=3.8); extra == "dev"
Requires-Dist: isort[colors] (>=5.8); extra == "dev"
Requires-Dist: pydocstyle[toml] (>=6.1); extra == "dev"
Requires-Dist: pyupgrade (>=2.8); extra == "dev"
Provides-Extra: dev
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 7632 characters]

WHEEL

Wheel-Version: 1.0
Generator: bdist_wheel (0.43.0)
Root-Is-Purelib: true
Tag: py3-none-any

RECORD

Path Digest Size
lightning_uq_box/__init__.py sha256=RAZO6WA0F8TYhDpsk3oEXebo3IHheSLtCt7IYic8lhk 393
lightning_uq_box/__main__.py sha256=ho-BS2DQ6revZFeOR6eCFf-CE0V133V8t5bO7cI1pek 200
lightning_uq_box/main.py sha256=8kGpCqxg-cjljbOKRF-rmQtayNsTQ8IzW_uxbdM8aeg 1346
lightning_uq_box/datamodules/__init__.py sha256=Rf8j44j8Mgb7AoLKxIfRHPdUVn9_u5NDHkcjk2zSiwo 1042
lightning_uq_box/datamodules/toy_8_gaussians.py sha256=tDOVHZRPGQluQTo1C77EXs9mc83xK4BrBzqie-qzkGA 1647
lightning_uq_box/datamodules/toy_donut.py sha256=TRRd461THcEiu5wSEg-1sgDqDrLaF3t6CEvh9s2vyVw 1543
lightning_uq_box/datamodules/toy_due.py sha256=4Z9WIQaE5p86f9yXjny1uRMnogDrcqKrR_ndtmbCgcM 2765
lightning_uq_box/datamodules/toy_gaussian_sideways.py sha256=fTxQlRi03GsVCuUuLK4gUcNTg0KlPZ17KXt1c0qv-qo 1709
lightning_uq_box/datamodules/toy_half_moons.py sha256=nPfgHQE4pHrOnPC_71KQOtI8F1JepJjT3be5Jscinj8 3483
lightning_uq_box/datamodules/toy_heteroscedastic.py sha256=3y9HetBvnq7uKMgUQfdKpe0-S5EReyUqv6bRphQ-2VE 5059
lightning_uq_box/datamodules/toy_image_classification.py sha256=0tITnp2i-E3UgiAmjxaXDE09PBOzptoUqpwwecDMUME 1111
lightning_uq_box/datamodules/toy_image_regression.py sha256=UBvt1hG2dI9zv-jxpIFmO01njMt9dV8QreJftyCxRdU 1158
lightning_uq_box/datamodules/toy_image_segmentation.py sha256=qCxvyvrpQDbWinebVN9af9f7XEp43fUA8IxBzyjI6qs 1514
lightning_uq_box/datamodules/toy_sine.py sha256=J-4HDrdpjBbgLA0lifouGekggstdDCkIFoKkgIDysQs 3248
lightning_uq_box/datamodules/utils.py sha256=NsxJjzrzHdvOD0KNZqI3aZE9SNIdfVJ4TSAxC4yrHio 417
lightning_uq_box/datasets/__init__.py sha256=mf1CqbjBboQCURp18mnlXvjx8OoUvT01NG_CGoM1V90 752
lightning_uq_box/datasets/toy_8_gaussians.py sha256=sGqff3AMZY0a1HPcgSfrkFT1cPJErbkSaf-QPbT22gk 2895
lightning_uq_box/datasets/toy_donut.py sha256=02dQvWkV-UxgePX8ijK3ECDnH0-ATqwhRROk9AsRQdA 1969
lightning_uq_box/datasets/toy_gaussian_sideways.py sha256=CJXcz2GkJA0Mf3YFEp1i_X3s0azX9YqeC7k5vh51qgg 2079
lightning_uq_box/datasets/toy_image_classification.py sha256=l9pFP_HeeRm2FWIKR6TH_oLGsvWwCtA8kNBdyaGDvj8 1411
lightning_uq_box/datasets/toy_image_regression.py sha256=yp6oWpL0MjjMjTcuEzjcx98KpHZ6i6J1Mlfxo-gFZqk 1091
lightning_uq_box/datasets/toy_image_segmentation.py sha256=LLE21JWnOCe2OZeB9aHYzOFVwX9UsvTRwsVy78xjVsw 1384
lightning_uq_box/eval_utils/__init__.py sha256=AgsGQNAF4UgylM3tAJzkkD6h3EhQyM5dUP_289xqPNM 671
lightning_uq_box/eval_utils/uq_computation.py sha256=W3vpHj1ag2-CvODKZ00wZArKqu73Fwx5-cHTLAOs7PY 4434
lightning_uq_box/models/__init__.py sha256=TLEPBMCdYtfXzAx_hq2ywqM10xPRZh-DLGGLg9w9L1U 497
lightning_uq_box/models/cards.py sha256=AArQbgMgjBPY5ky-DrlFr67TuYpInOjlksQt9YqWHio 7138
lightning_uq_box/models/fc_resnet.py sha256=mJqf7mPP46tUyxi8ge4UGokiTlAC50KJLHd-ovy0Xvc 2149
lightning_uq_box/models/hierarchical_prob_unet.py sha256=wDD-VeZUTdyyX4ERDb5VGeVjMpxrFQIC_fMTvyXgLCI 14279
lightning_uq_box/models/mlp.py sha256=BnrCqy0zVeB6gBmJvY6GfjaQJeikQIeRJmnDgYlU4rA 1839
lightning_uq_box/models/prob_unet.py sha256=3jK-bFLOxb1Puhs3NuXqi-vtixcjZ6S5FTXeXUI6Frs 12454
lightning_uq_box/models/bnn_layers/__init__.py sha256=D5dPSkDE-tK4kE7ijrpE9h57i-FMnLVFHgZxtsR2Xws 720
lightning_uq_box/models/bnn_layers/base_variational.py sha256=IUioMC4WR83-vuhW7jq6ELysBmvzo4wCh72yLGTPpTg 19381
lightning_uq_box/models/bnn_layers/bnn_utils.py sha256=jOYHb8ZmvzSs-oAqOisX_gJQBoz2NHfvJAj3WnT8O8o 7067
lightning_uq_box/models/bnn_layers/conv_variational.py sha256=EFYOTkrdZ-AJKVbiLR_eAIPWZrSKLH1tD1ZVMt672ZQ 16890
lightning_uq_box/models/bnn_layers/linear_variational.py sha256=eahmxgwKojATcztDWd_Y5Z2RjEmPx7htLTWjSe9Qrn0 10547
lightning_uq_box/models/bnn_layers/rnn_layer.py sha256=USuSdq1FDXAMHCElap9_mbxYmaltjAeyt4Eb4m-39W0 7203
lightning_uq_box/models/bnnlv/latent_variable_network.py sha256=rKekQ7RRtzIq88YgbiVMLnuKzl6fSsp75RaOsKYQT0M 5294
lightning_uq_box/models/bnnlv/utils.py sha256=iLYoUGYnykzCYAPCzkqyyoduprQ194fU-P9cSWgLePc 3575
lightning_uq_box/uq_methods/__init__.py sha256=n-hQEABniqc82VhCTnnDYvFPgqWHiotJTQM1WLB4KxY 4647
lightning_uq_box/uq_methods/base.py sha256=TZHglE5dmDnj_AtZ5u4a5b49ZK7M4tYI5BJM9zooxog 17739
lightning_uq_box/uq_methods/bnn_lv_vi.py sha256=vAJwaVCtpTdstMGFJCd-go3VwCo-mCpSOYY2WnUBkQU 33683
lightning_uq_box/uq_methods/bnn_vi.py sha256=wLL1XlwnZApJLQs3AQb_Kwf3hCupeadkSsyZTatS-40 22373
lightning_uq_box/uq_methods/bnn_vi_elbo.py sha256=3OGQr3oMGkgup2ppf9SKTExzUKf5OSD-7L6fIuNqhA8 25328
lightning_uq_box/uq_methods/cards.py sha256=mKK6hnUKH1WCQ-QqAubIcoPUymJipJHoguYf6AdoRDs 26808
lightning_uq_box/uq_methods/conformal_qr.py sha256=34sgeBbMB7M5tUzTBjVdiOYiCbpFmqv-68f2v_VpyOA 7219
lightning_uq_box/uq_methods/deep_ensemble.py sha256=Stm-WfIrmvwTE11Qxw_wg7DVV5cAGNL4AiMECjBIF-c 8805
lightning_uq_box/uq_methods/deep_evidential_regression.py sha256=X5Y-KIEDDffXGwsZ4Su01n2aspnlwOy3n9JrAhmvufI 5881
lightning_uq_box/uq_methods/deep_kernel_learning.py sha256=jp2cLnJQthHR-x_gd76vnedNaY-Od2g9rdpRhGLvAog 26943
lightning_uq_box/uq_methods/deterministic_uncertainty_estimation.py sha256=yfYRsX5EOQqI7KNN2tstZAWZjfntD4TtoFNUTiFfGdc 4648
lightning_uq_box/uq_methods/hierarchical_prob_unet.py sha256=RXWoMp1vrw8OyKzQ7MtUyqBFV2NAkuDoPPOrBZENQks 20111
lightning_uq_box/uq_methods/inference_time_augmentation.py sha256=03BpW6KfaOPhAhvoV-YeOD_1rN8_W_KOMkFhZ0fCfqc 13701
lightning_uq_box/uq_methods/laplace_model.py sha256=lAJhcRdp1TGZtQKRpkcWkoSyhsE-YK0yIbehEnJXqyc 12753
lightning_uq_box/uq_methods/loss_functions.py sha256=OwLoutXyC5U2IbG775SlJuqE8Nq-HeSfDdqBlTtdkHo 7698
lightning_uq_box/uq_methods/mc_dropout.py sha256=1VBM-wTeyDSAOw923_G0zLT_59gFMCFP1ibS0250SZs 15343
lightning_uq_box/uq_methods/mean_variance_estimation.py sha256=Wtzpat6U8R0UXZsbsWRNba3ZR_K7UKQgy6I6Lk1fKpU 5383
lightning_uq_box/uq_methods/metrics.py sha256=nnEZABR5kxd5WBxbusTmIBlS3zJhAJca6mtCRO0tVyw 3876
lightning_uq_box/uq_methods/prob_unet.py sha256=j-BNIP_BEi5aD2AGQZQDM0f7qxlOyAIp0dWC0rq3cSg 12925
lightning_uq_box/uq_methods/quantile_regression.py sha256=hw0M_ZAnw48pQ6_4TjluDfue-RZhyqG--6_Vu1_Uyo0 6266
lightning_uq_box/uq_methods/raps.py sha256=Vrw6QHkbyBhPf4F0DtWeSZPmBaxCVayGZUxXR1TXPTU 23727
lightning_uq_box/uq_methods/sgld.py sha256=9NlhIwhbxYxMoJhyFQUFK4kfh5bhaPJk-a55gy6qfL0 13455
lightning_uq_box/uq_methods/sngp.py sha256=zXQ1KjXh4GYGElQk8JKf3vGBAESu_dEQ-8EZvntwk5o 18605
lightning_uq_box/uq_methods/spectral_normalized_layers.py sha256=0tPOMJt9ZHhBFITj_CYYJFy9GeFsX9E9f8vYkMqXLYs 20807
lightning_uq_box/uq_methods/swag.py sha256=WoiWyn-FyNRCNe5gwnF4Th_iV5HjfS8Zuv_KRUk1cDM 22970
lightning_uq_box/uq_methods/temp_scaling.py sha256=6rUOseKZZm5Yf5emh6fFxvLDPK9E6mYBfMGdubE791o 6678
lightning_uq_box/uq_methods/utils.py sha256=jpjIJq5tHOGkQ3yX8xqUNZfGTN_Pncw3I2YIJDYkDW8 15106
lightning_uq_box/viz_utils/__init__.py sha256=MyP72o6ZLhU8Ukov3tmK_Ew7mx4TIYZOdz456iv3fp0 524
lightning_uq_box/viz_utils/visualization_tools.py sha256=1pFBAuvnkpg43m23X-89irfoEan9I7cT_GsXEQn8t5I 10309
lightning_uq_box-0.1.0.dist-info/LICENSE sha256=VkOyrTUuEFtPuR1V0TaijsM_Y6AAtNHCFOJ3y-3UCHU 11346
lightning_uq_box-0.1.0.dist-info/METADATA sha256=FJWH1AFvb3Uwx0GnYqDs0cm02z5qUb20TtRYE8TUVGY 23105
lightning_uq_box-0.1.0.dist-info/WHEEL sha256=GJ7t_kWBFywbagK5eo9IoUwLW6oyOeTKmQ-9iHFVNxQ 92
lightning_uq_box-0.1.0.dist-info/entry_points.txt sha256=7x-ftEs4GF2Vy9JwOZKI_kiGQAst96LBEyXVePaTQyA 54
lightning_uq_box-0.1.0.dist-info/top_level.txt sha256=fDKCS7bPMHv5ubiVI-Z2Y86_Wa93DWYvpSvWFrUChZI 17
lightning_uq_box-0.1.0.dist-info/RECORD — —

top_level.txt

lightning_uq_box

entry_points.txt

[console_scripts]
uq-box = lightning_uq_box.main:main