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1.0.1 accel_brain_base-1.0.1-py3-none-any.whl

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Project: accel-brain-base
Version: 1.0.1
Filename: accel_brain_base-1.0.1-py3-none-any.whl
Download: [link]
Size: 176965
MD5: 5909aba019b826db1bf30d32d84818a8
SHA256: c01cf2cc26bea6f4d14bd07adbc2ad077ffe26cb290268bf07d5b86dc4a70aec
Uploaded: 2020-07-16 10:33:17 +0000

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METADATA

Metadata-Version: 2.1
Name: accel-brain-base
Version: 1.0.1
Summary: accel-brain-base is a basic library of the Deep Learning for rapid development at low cost. This library makes it possible to design and implement deep learning, which must be configured as a complex system, by combining a plurality of functionally differentiated modules such as a Restricted Boltzmann Machine(RBM), Deep Boltzmann Machines(DBMs), a Stacked-Auto-Encoder, an Encoder/Decoder based on Long Short-Term Memory(LSTM), and a Convolutional Auto-Encoder(CAE).
Author: accel-brain
Author-Email: info[at]accel-brain.co.jp
Home-Page: https://github.com/accel-brain/accel-brain-code/tree/master/Accel-Brain-Base/
License: GPL2
Keywords: Generative Adversarial Networks Adversarial Auto-Encoders autoencoder auto-encoder convolution deconvolution encoder decoder LSTM Deep Q-Learning Deep Reinforcement Learning Deep Boltzmann Machines Restricted Boltzmann Machine Ladder Networks semi-supervised learning DRCN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Intended Audience :: Information Technology
Classifier: Intended Audience :: Science/Research
Classifier: Framework :: Robot Framework
Classifier: Topic :: Text Processing
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Classifier: License :: OSI Approved :: GNU General Public License v2 (GPLv2)
Classifier: Programming Language :: Python :: 3
Requires-Dist: numpy
Requires-Dist: pandas
Description-Content-Type: text/markdown
[Description omitted; length: 53208 characters]

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accelbrainbase/samplabledata/truesampler/normal_true_sampler.py sha256=UzK1MsN6ji2uFOtQRZzzOpvy4mZWZh08D5YTZZZNA70 2740
accelbrainbase/samplabledata/truesampler/labeledtruesampler/__init__.py sha256=47DEQpj8HBSa-_TImW-5JCeuQeRkm5NMpJWZG3hSuFU 0
accelbrainbase/samplabledata/truesampler/labeledtruesampler/conditional_labeled_true_sampler.py sha256=vzY0OvMp10ts5dP_A9E3fvUtAN0mAWkEDbNG3qi1iRQ 1182

top_level.txt

accelbrainbase