random-neural-net-models

View on PyPIReverse Dependencies (0)

0.3.0 random_neural_net_models-0.3.0-py3-none-any.whl

Wheel Details

Project: random-neural-net-models
Version: 0.3.0
Filename: random_neural_net_models-0.3.0-py3-none-any.whl
Download: [link]
Size: 49342
MD5: 1dd083e66b31c85ab43f736baa2a581c
SHA256: d028cbc6cacdea4a382ab69f7848688c1a4de4d57eca44cd915a635fa58e7552
Uploaded: 2024-03-29 10:22:00 +0000

dist-info

METADATA

Metadata-Version: 2.1
Name: random-neural-net-models
Version: 0.3.0
Summary: My implementation of a random selection of artificial neural net based models.
Author-Email: eschmidt42 <11818904+eschmidt42[at]users.noreply.github.com>
License: BSD 3-Clause License Copyright (c) 2023, Eric Schmidt Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met: 1. Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer. 2. Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution. 3. Neither the name of the copyright holder nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission. THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
Keywords: neural-networks,machine-learning,deep-learning
Classifier: Development Status :: 2 - Pre-Alpha
Classifier: License :: OSI Approved :: BSD License
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Requires-Python: >=3.10
Description-Content-Type: text/markdown
License-File: LICENSE
[Description omitted; length: 2057 characters]

WHEEL

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

RECORD

Path Digest Size
random_neural_net_models/__init__.py sha256=YMWyc44C3DcufGLuQHB4EdgFUX6wLuo6I0m0ci9QJgI 46
random_neural_net_models/autoencoder_fastai2022.py sha256=4o77QDofLzFMi6C0WTJklWyi4xEBG_0vZ4Ezwj88Rg8 7357
random_neural_net_models/backprop_rumelhart.py sha256=NLlDn5MrEOR0KVOxSsjcxRPe-lMpZrcK4Jz35G_JiCQ 5500
random_neural_net_models/convolution_lecun1990.py sha256=PGuWb0pRWJZpzyexSI5I0HUrrB6RAwu3DuuKGAvNvp4 6947
random_neural_net_models/data.py sha256=Qi3PWa_G9PCNyj-2yVjgoX0RjGJ_iJCMhyEvm8lU3Tk 12641
random_neural_net_models/learner.py sha256=p_ykUCoFxjJdTfZJWAU3cIW1D7xCXfKGGAFr8WoV0Oo 22992
random_neural_net_models/losses.py sha256=_O4lUcWCvB4ZXgzYkdgtVNHyMawlGNBQhM0fP6hiQaQ 1759
random_neural_net_models/perceptron.py sha256=HB7l8dP4K2UiO9xS0xFnKc4E3DFJy3Az8-8Ul3AX6OA 5954
random_neural_net_models/resnet.py sha256=0OyRqrC2qSSaGXcdOVFvJqrdatr18bslg7jEeipbiB4 2565
random_neural_net_models/search.py sha256=mttQyks95V_sDPXHyv2-DzjenkByONGUTYzJnf4BWcI 2332
random_neural_net_models/tabular.py sha256=_wySIAsVrBGNj-BrlxYlT-103rfCRt8vLf2SjJKD0k0 12273
random_neural_net_models/tabular_vae.py sha256=Wz4GFu8Z8bL4L9NLfHBNkVWG6xpRzdXP2F7XYPwZbvc 9461
random_neural_net_models/telemetry.py sha256=aymDO0_oot0vUhQjjk_Dh9t1LEgHVwWJrZak1jdZX3s 17797
random_neural_net_models/text.py sha256=E9qWUzRfJRbTKkjNKejMLwldcHYk65Yee4xDbFHOJm0 4081
random_neural_net_models/tokenization.py sha256=aoi4dBvSkBwqsShi4Vj-qEzobESPBucGJXatEpiOi8Y 9168
random_neural_net_models/transformer.py sha256=3R9MWSPkq1vUZ91lRozmuC-ogMJxkpRWFJzCPGvTP2U 15672
random_neural_net_models/unet.py sha256=XYpd9wp42Ds8zM2Gk0kAQHkiRrraVsnje2xFH2lzD2U 10714
random_neural_net_models/unet_with_noise.py sha256=pFzMS-5ePrIgrcrrEtXIUE98FasDGxm1oTbG8C-_spE 22962
random_neural_net_models/utils.py sha256=473J5odBI-xgVpdOsnpllStGK9iGjXBoJifcXYg5B7s 1020
random_neural_net_models/variational_autoencoder_fastai2022.py sha256=K-va1cOOy3BzQemIx843aEjqQZOQ3jrDJs_x7l_vy_A 9147
random_neural_net_models-0.3.0.dist-info/LICENSE sha256=-lfpGQE12vL4qW9nH5bAu1H9aTmVveUab-nwmvskJmE 1499
random_neural_net_models-0.3.0.dist-info/METADATA sha256=qsygxK1tW5p5VjLrduMzjwZRvXXtL9W2DvTYO9LEI_c 4363
random_neural_net_models-0.3.0.dist-info/WHEEL sha256=GJ7t_kWBFywbagK5eo9IoUwLW6oyOeTKmQ-9iHFVNxQ 92
random_neural_net_models-0.3.0.dist-info/top_level.txt sha256=LJpI2q-7CiquNmQ3pf-29YaNWhBxBDoxxksZnt2v4gU 25
random_neural_net_models-0.3.0.dist-info/RECORD

top_level.txt

random_neural_net_models