View: |
Part 1: 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 |
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 |
Label: |
ADLbasic.py |
Notes: |
text/x-python |
Label: |
ADL_covtype.ipynb |
Notes: |
application/x-ipynb+json |
Label: |
ADL_creditcarddefault.html |
Notes: |
text/html |
Label: |
ADL_creditcarddefault.ipynb |
Notes: |
application/x-ipynb+json |
Label: |
ADL_electricitypricing.ipynb |
Notes: |
application/x-ipynb+json |
Label: |
ADL_hepmass.ipynb |
Notes: |
application/x-ipynb+json |
Label: |
ADL_hyperplane.ipynb |
Notes: |
application/x-ipynb+json |
Label: |
ADL.ipynb |
Notes: |
application/x-ipynb+json |
Label: |
ADLmainloop.py |
Notes: |
text/x-python |
Label: |
ADL_occupancy.html |
Notes: |
text/html |
Label: |
ADL_occupancy.ipynb |
Notes: |
application/x-ipynb+json |
Label: |
ADL_pmnist.ipynb |
Notes: |
application/x-ipynb+json |
Label: |
ADL_rfid.ipynb |
Notes: |
application/x-ipynb+json |
Label: |
ADL_rmnist.ipynb |
Notes: |
application/x-ipynb+json |
Label: |
ADL_sea.ipynb |
Notes: |
application/x-ipynb+json |
Label: |
ADL_susy.ipynb |
Notes: |
application/x-ipynb+json |
Label: |
ADL_weather.ipynb |
Notes: |
application/x-ipynb+json |
Label: |
LICENSE.md |
Notes: |
text/markdown |
Label: |
README.md |
Notes: |
text/markdown |
Label: |
run ADL experiments_bs1000.html |
Notes: |
text/html |
Label: |
run ADL experiments_bs1000.ipynb |
Notes: |
application/x-ipynb+json |
Label: |
run ADL experiments_bs500.html |
Notes: |
text/html |
Label: |
sgdModif.py |
Notes: |
text/x-python |
Label: |
Untitled.ipynb |
Notes: |
application/x-ipynb+json |
Label: |
utilsADL.py |
Notes: |
text/x-python |