mhdehshiri

6.S091-causality

academicpages.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

BGOLEM-and-BFGES

This is the codes for "Bayesian Causal Learning and Assessment of the Brain Effective Connectomes with fMRI-DTI data"

comparison-of-GradCAM-variations-for-Interpretability-

in this work, a comparison between Grad-CAM variations has been done

dagma

A Python 3 package for learning Bayesian Networks (DAGs) from data. Implementation of the paper "DAGMA: Learning DAGs via M-matrices and a Log-Determinant Acyclicity Characterization"

DAGMA_Prior

mhdehshiri.github.io

open-set-recognition-clustering-of-102-flowers-data

Privacy-Interpretability-102-flowers-data

starter-hugo-academic

🎓 无需编写任何代码即可轻松创建漂亮的学术网站 Easily create a beautiful academic résumé or educational website using Hugo and GitHub. No code.

mhdehshiri/DAGMA_Prior

mhdehshiri/mhdehshiri.github.io

mhdehshiri/open-set-recognition-clustering-of-102-flowers-data

mhdehshiri/Privacy-Interpretability-102-flowers-data

mhdehshiri/starter-hugo-academic

🎓 无需编写任何代码即可轻松创建漂亮的学术网站 Easily create a beautiful academic résumé or educational website using Hugo and GitHub. No code.

mhdehshiri/6.S091-causality

mhdehshiri/academicpages.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

mhdehshiri/BGOLEM-and-BFGES

This is the codes for "Bayesian Causal Learning and Assessment of the Brain Effective Connectomes with fMRI-DTI data"

mhdehshiri/comparison-of-GradCAM-variations-for-Interpretability-

in this work, a comparison between Grad-CAM variations has been done

mhdehshiri/dagma

A Python 3 package for learning Bayesian Networks (DAGs) from data. Implementation of the paper "DAGMA: Learning DAGs via M-matrices and a Log-Determinant Acyclicity Characterization"

mhdehshiri/latex-homework-template

🎓📄 The LaTeX file that I used as the base for all my homework in university.

mhdehshiri/non-factorized-variational-auto-encoder

mhdehshiri/py-causal

mhdehshiri/supervised-causal-contrastive-learning-domain-generalization