Software

Aboleth

Commonwealth Scientific and Industrial Research Organisation
Steinberg, Dan ; McCalman, Lachlan ; O'Callaghan, Simon ; Tiao, Louis ; Reid, Alistair
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=http://hdl.handle.net/102.100.100/61644?index=1&rft.title=Aboleth&rft.identifier=http://hdl.handle.net/102.100.100/61644?index=1&rft.publisher=Commonwealth Scientific and Industrial Research Organisation&rft.description=A bare-bones TensorFlow framework for Bayesian deep learning and Gaussian process approximation with stochastic gradient variational Bayes inference.License: Apache 2.0&rft.creator=Steinberg, Dan &rft.creator=McCalman, Lachlan &rft.creator=O'Callaghan, Simon &rft.creator=Tiao, Louis &rft.creator=Reid, Alistair &rft.date=2017&rft.edition=v1&rft_rights=CSIRO Open Source Software Licence (Based on MIT/BSD Open Source Licence) https://research.csiro.au/dap/licences/csiro-open-source-software-licence-based-on-mit-bsd-open-source-licence/&rft_rights=Data is accessible online and may be reused in accordance with licence conditions&rft_rights=All Rights (including copyright) CSIRO 2017.&rft_subject=Bayesian inference&rft_subject=Machine learning&rft_subject=Variational inferencel&rft_subject=Deep learning&rft_subject=Neural Networks&rft_subject=Gaussian Processes&rft_subject=Machine learning not elsewhere classified&rft_subject=Machine learning&rft_subject=INFORMATION AND COMPUTING SCIENCES&rft_subject=Applied statistics&rft_subject=Statistics&rft_subject=MATHEMATICAL SCIENCES&rft_subject=Statistical theory&rft.type=Computer Program&rft.language=English Access the software

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CSIRO Open Source Software Licence (Based on MIT/BSD Open Source Licence)
https://research.csiro.au/dap/licences/csiro-open-source-software-licence-based-on-mit-bsd-open-source-licence/

Data is accessible online and may be reused in accordance with licence conditions

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Full description

A bare-bones TensorFlow framework for Bayesian deep learning and Gaussian process approximation with stochastic gradient variational Bayes inference.

License: Apache 2.0

Available: 2017-10-02

Data time period: 2017-01-01 to ..

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ACN 633 798 857