The source codes of ADL Python (doi:10.21979/N9/PR0LV2)

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Part 1: Document Description
Part 2: Study Description
Part 5: Other Study-Related Materials
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Document Description

Citation

Title:

The source codes of ADL Python

Identification Number:

doi:10.21979/N9/PR0LV2

Distributor:

DR-NTU (Data)

Date of Distribution:

2022-06-24

Version:

1

Bibliographic Citation:

Ashfahani, Andri; Pratama, Mahardhika, 2022, "The source codes of ADL Python", https://doi.org/10.21979/N9/PR0LV2, DR-NTU (Data), V1

Study Description

Citation

Title:

The source codes of ADL Python

Identification Number:

doi:10.21979/N9/PR0LV2

Authoring Entity:

Ashfahani, Andri (Nanyang Technological University)

Pratama, Mahardhika (Nanyang Technological University)

Software used in Production:

software used to generate data

Grant Number:

start-up grant

Grant Number:

Grant No. RGANS1902

Distributor:

DR-NTU (Data)

Access Authority:

Pratama, Mahardhika

Depositor:

Pratama, Mahardhika

Date of Deposit:

2022-05-12

Holdings Information:

https://doi.org/10.21979/N9/PR0LV2

Study Scope

Keywords:

Computer and Information Science, Computer and Information Science, deep learning

Abstract:

the source code of ADL " Autonomous Deep Learning: Continual Learning Approach for Dynamic Environments "

Kind of Data:

Python code

Methodology and Processing

Sources Statement

Data Access

Notes:

Please refer to the LICENSE.md file in this dataset.

Other Study Description Materials

Related Studies

Ashfahani, Andri; Pratama, Mahardhika, 2022, "The source codes of ADL Matlab", <a href="https://doi.org/10.21979/N9/9CDTTB">https://doi.org/10.21979/N9/9CDTTB</a>, DR-NTU (Data)

Related Publications

Citation

Identification Number:

10.1137/1.9781611975673.75

Bibliographic Citation:

Ashfahani, A., & Pratama, M. (2019, May). Autonomous deep learning: Continual learning approach for dynamic environments. In Proceedings of the 2019 SIAM International Conference on Data Mining (pp. 666-674). Society for Industrial and Applied Mathematics

Other Study-Related Materials

Label:

ADLbasic.py

Notes:

text/x-python

Other Study-Related Materials

Label:

ADL_covtype.ipynb

Notes:

application/x-ipynb+json

Other Study-Related Materials

Label:

ADL_creditcarddefault.html

Notes:

text/html

Other Study-Related Materials

Label:

ADL_creditcarddefault.ipynb

Notes:

application/x-ipynb+json

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Label:

ADL_electricitypricing.ipynb

Notes:

application/x-ipynb+json

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ADL_hepmass.ipynb

Notes:

application/x-ipynb+json

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Label:

ADL_hyperplane.ipynb

Notes:

application/x-ipynb+json

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Label:

ADL.ipynb

Notes:

application/x-ipynb+json

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Label:

ADLmainloop.py

Notes:

text/x-python

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Label:

ADL_occupancy.html

Notes:

text/html

Other Study-Related Materials

Label:

ADL_occupancy.ipynb

Notes:

application/x-ipynb+json

Other Study-Related Materials

Label:

ADL_pmnist.ipynb

Notes:

application/x-ipynb+json

Other Study-Related Materials

Label:

ADL_rfid.ipynb

Notes:

application/x-ipynb+json

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Label:

ADL_rmnist.ipynb

Notes:

application/x-ipynb+json

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Label:

ADL_sea.ipynb

Notes:

application/x-ipynb+json

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Label:

ADL_susy.ipynb

Notes:

application/x-ipynb+json

Other Study-Related Materials

Label:

ADL_weather.ipynb

Notes:

application/x-ipynb+json

Other Study-Related Materials

Label:

LICENSE.md

Notes:

text/markdown

Other Study-Related Materials

Label:

README.md

Notes:

text/markdown

Other Study-Related Materials

Label:

run ADL experiments_bs1000.html

Notes:

text/html

Other Study-Related Materials

Label:

run ADL experiments_bs1000.ipynb

Notes:

application/x-ipynb+json

Other Study-Related Materials

Label:

run ADL experiments_bs500.html

Notes:

text/html

Other Study-Related Materials

Label:

sgdModif.py

Notes:

text/x-python

Other Study-Related Materials

Label:

Untitled.ipynb

Notes:

application/x-ipynb+json

Other Study-Related Materials

Label:

utilsADL.py

Notes:

text/x-python