PSIS

CausalDiscoveryToolbox

Package for causal inference in graphs and in the pairwise settings. Tools for graph structure re...

pyPortfolioAnalysis

'Portfolio Analysis, methods for portfolio optimization'

awesome-decision-tree-papers

A collection of research papers on decision, classification and regression trees with implementat...

open-instruct

pyALS

Python implementation of the catalog-based Aig-rewriting approximate Logic Synthesis technique

imodels

Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-co...

BayesianOptimization

A Python implementation of global optimization with gaussian processes.

Lihang

Statistical learning methods, 统计学习方法(第2版)[李航] [笔记, 代码, notebook, 参考文献, Errata, lihang]

mici

Manifold Markov chain Monte Carlo methods in Python

causalml

Uplift modeling and causal inference with machine learning algorithms

scikit-opt

Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algo...

deep-significance

Enabling easy statistical significance testing for deep neural networks.

abess

Fast Best-Subset Selection Library

pyhsmm

Bayesian inference in HSMMs and HMMs