https://github.com/hemile/differentiable-fuzzy-logics
MNIST semi-supervised learning experiments using differentiable fuzzy logic
https://github.com/hemile/differentiable-fuzzy-logics
Last synced: about 1 year ago
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MNIST semi-supervised learning experiments using differentiable fuzzy logic
- Host: GitHub
- URL: https://github.com/hemile/differentiable-fuzzy-logics
- Owner: HEmile
- Created: 2018-12-11T15:14:16.000Z (over 7 years ago)
- Default Branch: master
- Last Pushed: 2021-04-30T10:23:03.000Z (over 5 years ago)
- Last Synced: 2025-05-08T03:08:56.039Z (about 1 year ago)
- Language: Jupyter Notebook
- Homepage:
- Size: 351 KB
- Stars: 8
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# Differentiable Fuzzy Logics
## Requirements
The code is tested for
* Python 3.8
* PyTorch 1.8.1
* TensorboardX
Similar configurations should also work.
## MNIST Experiments
See the `dfl` folder for the semi-supervised MNIST experiments.
multiconfig.py can be used to reproduce the experiments (mostly). main.py can be called with the appropriate argument to produce any kind of experiment or combination.