https://github.com/candlelabai/memristorrobustnesstononideality
Code accompanying our manuscript on Enhancing memristor robustness to non-idealities
https://github.com/candlelabai/memristorrobustnesstononideality
Science Score: 26.0%
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Code accompanying our manuscript on Enhancing memristor robustness to non-idealities
Basic Info
- Host: GitHub
- Owner: CandleLabAI
- Language: Jupyter Notebook
- Default Branch: main
- Size: 1.74 MB
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- Stars: 0
- Watchers: 1
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- Open Issues: 0
- Releases: 0
Created about 1 year ago
· Last pushed about 1 year ago
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Readme
README.md
MemristorRobustnessToNonIdeality
Code accompanying our manuscript on Enhancing memristor robustness to non-idealities
- There are two folders containing the code for training and testing of three different datastes; FMNIST, NMNIST, and DVS128Gesture.
- It takes quite some time to train the netwokrs, therefore each test folder also includes pretrained models. There are a total of 6 trained model files in each folder; one trained in normal way and the other five with different levels of noise.
- Please note that testing requires the 'AIHWKIT' installation and this library is only available for linux[1].
[1] https://github.com/IBM/aihwkit
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- Login: CandleLabAI
- Kind: user
- Repositories: 2
- Profile: https://github.com/CandleLabAI
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