On Mean-Field inference and machine learning: the example of Sudoku.

Work done during the Summer 2017 internship at the CVLab - EPFL.

create.py: create a sudoku dataset, you can specify the size of the board, the number of examples and the difficulty of the dataset.
discr.py: this script tests the discriminative power of a given CRF (not updated to version 2.0)
experience.py: launches a bunch of experiments (not updated)
judge.py: evaluates the quality of a learned CRF against a dataset, specifying the number of modes (in case of multi-modal mean-field).
learning.py: some MF samples (not updated)
mf.py: the core MF/MMMF inference library
sudoku_learn.py: uses the MMMF inference to learn the game of sudoku using a multi-modal gradient method.
sudoku.py: some utility library in order to handle sudoku dataset.

Name		Name	Last commit message	Last commit date
Latest commit History 40 Commits
.gitignore		.gitignore
Meanfield learning.ipynb		Meanfield learning.ipynb
README.md		README.md
Test mean field.ipynb		Test mean field.ipynb
Untitled.ipynb		Untitled.ipynb
create.py		create.py
discr.py		discr.py
experience.py		experience.py
judge.py		judge.py
learning.py		learning.py
mf.py		mf.py
sudoku.py		sudoku.py
sudoku_learn.py		sudoku_learn.py
sudoku_learn_cnn.py		sudoku_learn_cnn.py
sudoku_test.py		sudoku_test.py
test.py		test.py

TheLortex/mean-field-inference