michelle-ci's Projects
AntroPy: entropy and complexity of (EEG) time-series in Python
An index of algorithms for learning causality with data
A data index for learning causality.
Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.
Investigation of complexity-based criteria for determining the causal direction from observational data.
CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning
Minimum description length principle algorithm in Python, for optimal binning of continuous variables
Data derived from the Linked Births and Deaths Data (LBIDD); simulated pairs of treatment assignment and outcomes; scoring code
Codes for the EMNLP 2021 paper "Causal Direction of Data Collection Matters: Implications of Causal and Anticausal Learning for NLP"
Python code of information geometric causal inference
š Comparing causality methods in a fair and just way.
qtree algorithm for causal discovery from extremes on river networks
:package: Lempel-Ziv Complexity, fast implementations with :snake: Python (naive, Numba or Cython for speedup), Open-Source (MIT) :+1: ā
Python package for causal discovery based on LiNGAM.
MDL Complexity computations and experiments from the paper "Revisiting complexity and the bias-variance tradeoff".
An implementation of the minimum description length principal expert binning algorithm by Usama Fayyad
Config files for my GitHub profile.
NeuroKit2: The Python Toolbox for Neurophysiological Signal Processing
Notebooks for analysis or experimentation
Repository for codes for Permutation compression complexity causality
An open-source package of causal feature selection and causal (Bayesian network) structure learning (Python version)