Wheelodex » Projects » ctlearn

ctlearn

View on PyPI — Reverse Dependencies (0)

0.9.0 CTLearn-0.9.0-py3-none-any.whl

Wheel Details

Project: ctlearn
Version: 0.9.0
Filename: CTLearn-0.9.0-py3-none-any.whl
Download: [link]
Size: 44263
MD5: 19eb0b058e6a3b644886a2c675cbc97e
SHA256: 3f3196c992daffcd4b4a71bfbbca219b338cf0bee86acf0ca6899ec2d9066a1b
Uploaded: 2024-07-15 14:21:16 +0000

dist-info

METADATA · WHEEL · RECORD · top_level.txt · entry_points.txt · zip-safe

METADATA

Metadata-Version: 2.1
Name: CTLearn
Version: 0.9.0
Summary: CTLearn is a package under active development to run deep learning models to analyze data from all major current and future arrays of imaging atmospheric Cherenkov telescopes (IACTs).
Author: Ari Brill, Bryan Kim, Tjark Miener, Daniel Nieto
Author-Email: d.nieto[at]ucm.es
Home-Page: https://github.com/ctlearn-project/ctlearn
Project-Url: repository, https://github.com/ctlearn-project/ctlearn
Project-Url: documentation, https://ctlearn.readthedocs.io/en/latest/
License: BSD-3-Clause
Classifier: License :: OSI Approved :: BSD License
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering :: Astronomy
Classifier: Topic :: Scientific/Engineering :: Physics
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Requires-Python: >=3.10
Requires-Dist: dl1-data-handler (>=0.12.0)
Requires-Dist: astropy
Requires-Dist: matplotlib
Requires-Dist: numpy
Requires-Dist: pandas
Requires-Dist: pip
Requires-Dist: pyyaml
Requires-Dist: scikit-learn
Requires-Dist: ctaplot
Requires-Dist: numba (<0.57,>=0.56.2)
Requires-Dist: tensorflow (<2.16,>=2.15)
Requires-Dist: pydot
Requires-Dist: pyirf
Description-Content-Type: text/markdown
License-File: LICENSE
[No description]

WHEEL

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

RECORD

Path Digest Size
ctlearn/__init__.py sha256=V59YTVUUyWroU0dzog3RRGg3Zx5_47JT7z-77l0TBhA 186
ctlearn/build_irf.py sha256=YEwdjVdTAZO-o1YVKqViPsryffLkczWZcAmJsEx2Zp4 22879
ctlearn/data_loader.py sha256=U_NQJUqJGt9LyoRA7spI5aOXuOqhmzf0hgE0OJFcCTo 8728
ctlearn/output_handler.py sha256=rMPaaJDpDqS4kcoTWTEWHgZAw09ZAHpWYEjGocBxZcI 9592
ctlearn/run_model.py sha256=wnezY02JSl66UAr2lnIL4ud0NlAvnWtxudHZ_fGt98s 34333
ctlearn/utils.py sha256=rzoDfw_yd8kGRZvR4QErvTV2hz8dhMilwF83RwkiOzg 7230
ctlearn/version.py sha256=c8IP6D7xEidzmnSmTQhkaPVhLUGjSIvmdjmCTf3oi58 6378
ctlearn/versionScript.py sha256=OZ8ZVnuYsZZrGy7Nx0tgFTWAzc8fuxE1nb-M6cmtEck 143
ctlearn/default_config_files/CNNRNN.yml sha256=RZdIsMKAznBL2B7ktgfk_5dKnpE4F6ernN0ACrYsCZc 1897
ctlearn/default_config_files/SingleCNN.yml sha256=Pow2RZrU_I4GffvghblONMg7EePOep77OrwkW_WjdZA 1928
ctlearn/default_config_files/TRN.yml sha256=LRpLiVL51uOcetSVmxogiInHi1_FNV9mSn0TBEOHd6M 1829
ctlearn/default_config_files/calwaveSingleCNN.yml sha256=P9jQrmb4oO67yZsdcEUIslEDN3o-DpQ_IyubLIBhS_Q 2049
ctlearn/default_config_files/calwaveTRN.yml sha256=adX8emyvYXEQ3jfv0nAf7eV5FhrZ9lbKMQo1inWdo6Y 1954
ctlearn/default_config_files/rawwaveSingleCNN.yml sha256=3C877ruKGtdRCAp1ywJE_J15eRehhFu0xa1fisvcl_o 2078
ctlearn/default_config_files/rawwaveTRN.yml sha256=qn89lRfPsX2Kx3VlcATAg0Nb8PI0G3t423aNLgNTBIE 1979
ctlearn/default_config_files/stackedTRN.yml sha256=hpnep4EVNci3jb2xFQrYeBEOpcks6STMBUMpHVtkUL8 1836
ctlearn/default_config_files/triggerSingleCNN.yml sha256=gIIbzmnuKG0xqKnwpOX52Za_DaEE8B5ewO915_JdYeU 2198
ctlearn/default_config_files/triggerTRN.yml sha256=ZKYl7Q77l6SVc0BbEUMNcWAV7bsVTppTWv_TRwPKL_0 2103
ctlearn/default_models/attention.py sha256=ZFN-ErPumag9KgcBZ-ZDisE0E9qUe69AhSmautmxnxI 3187
ctlearn/default_models/basic.py sha256=BpLEDX6mNSNJirKK3M5LQWrQc1QIf-CTR4qAbsI5do4 6083
ctlearn/default_models/cnn_rnn.py sha256=9vIbnRQAw1XTbPUQYQ6zNfJsqlwG-KsEwTQebTFq8QQ 3365
ctlearn/default_models/head.py sha256=FArPad6f3-FqLgTtNWMxOrTXURXci-yf_fLvaQCKwhQ 3062
ctlearn/default_models/resnet.py sha256=ouLU4hPRcf1C_TmR0nTam9H7RpBNwkUROQWtILDlkc4 8835
ctlearn/default_models/single_cnn.py sha256=8QftxGtULr2fx11hbTOt4HpBTnonoDjzACQxQ3GCens 5504
ctlearn/default_models/variable_input_model.py sha256=vP2Wlu3JwNepCHALQK8kxcf05QgXqdsB0vA0J_n5Rr4 7949
CTLearn-0.9.0.dist-info/LICENSE sha256=WLWjpGHX4_8grLb6trBv3CVos2r9PkxdMD1Wl-W7F_M 1518
CTLearn-0.9.0.dist-info/METADATA sha256=RRolOh4Ej_ctpHrgYIcinGJFMSgJ_OqZ6ilZQsrsLgo 1387
CTLearn-0.9.0.dist-info/WHEEL sha256=GJ7t_kWBFywbagK5eo9IoUwLW6oyOeTKmQ-9iHFVNxQ 92
CTLearn-0.9.0.dist-info/entry_points.txt sha256=kYNvQWC7W7KItk91OMBgBnO1zrb0HVt02ZqIZgoiSTo 86
CTLearn-0.9.0.dist-info/top_level.txt sha256=9KZHCExjEZz-9w4FjiuFX_IJSGxv1Cv5AvW04Q9dry8 8
CTLearn-0.9.0.dist-info/zip-safe sha256=AbpHGcgLb-kRsJGnwFEktk7uzpZOCcBY74-YBdrKVGs 1
CTLearn-0.9.0.dist-info/RECORD — —

top_level.txt

ctlearn

entry_points.txt

[console_scripts]
build_irf = ctlearn.build_irf:main
ctlearn = ctlearn.run_model:main

zip-safe