DAGs with NO TEARS: Continuous Optimization for Structure Learning

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

Scalable open-source software to run, develop, and benchmark causal discovery algorithms

💻 Ability to rename desktop spaces on macOS 10.10+

arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv

A little Python script to collect LaTeX sources for upload to the arXiv.

A simple shellscript for splitting the PDF of a paper into the main body and an appendix.

This is a copy of Professor David H. Fremlin's great series of Measure Theory.

A script that automatically backups all Overleaf projects to a local folder. It works.

A python package of Zeroth-Order Optimization (ZOOpt)

I collected some papers about interpretable CNN and reorganized them here.

Generalized linear mixed-effect model in Python

Python solver for mixed-effects models

🔗 Some useful websites for programmers.

A collection of video resources for machine learning

An exact Bayesian network structure learning software based on dynamic programming.

Magnificent app which corrects your previous console command.

Use your macOS terminal shell to do awesome things.

🔬 Empirical CLI

Parallel ML System - STRADS scheduler

PMLS-Caffe: Distributed Deep Learning Framework for Parallel ML System

Parallel ML System - Bosen project

Minimal and clean examples of machine learning algorithms implementations

Visual Machine Learning of Genome-Phenome Associations

Scikit-learn compatible estimation of general graphical models

Test codes for ccdrAlgorithm, for both observation data and intervention samples on the same graph to compare performances.

Structure Learning Algorithm for Discrete Bayesian Network