mengyuan404's repositories
CausalDiscoveryToolbox
Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.
Causalinference
Causal Inference in Python
CausalInference.jl
Causal inference, graphical models and structure learning with the PC algorithm.
causality
Tools for causal analysis
CSV-to-ARFF
Python program to convert a CSV file to an ARFF file.
defragTrees
Python code for tree ensemble interpretation
dowhy
DoWhy is a Python library that makes it easy to estimate causal effects. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
GENESIM
An innovative technique that constructs an ensemble of decision trees and converts this ensemble into a single, interpretable decision tree with an enhanced predictive performance
interpretable-ml-book
Book about interpretable machine learning
lime
Lime: Explaining the predictions of any machine learning classifier
LIMPQ
Official implementation for paper "Mixed-Precision Neural Network Quantization via Learned Layer-wise Importance"
mengyuan404.github.io
AcadHomepage: A Modern and Responsive Academic Personal Homepage
pgmpy
Python Library for Probabilistic Graphical Models
srnn
Code for "Sequential Neural Models with Stochastic Layers"
tigramite
Tigramite is a time series analysis python module for causal discovery. **** Interested in doing a Postdoc/PhD applying machine learning to societally relevant scientific problems at the new DLR Data Science Institute in Germany? Visit www.climateinformaticslab.com **** The Tigramite documentation is at
zh-google-styleguide
Google 开源项目风格指南 (中文版)