poeagle,Poeagle,github

algo

数据结构和算法必知必会的50个代码实现

annotated-transformer

An annotated implementation of the Transformer paper.

awesome-causality-algorithms

An index of algorithms for learning causality with data

awesome-database-learning

A list of learning materials to understand databases internals

bcauss

Code for "Learning End-to-End Patient Representations through Self-Supervised Covariate Balancing for Causal Treatment Effect Estimation"

bites

BITES: Balanced Individual Treatment Effect for Survival data

catenets

Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.

causalmodel

CausalModel implements widely used casual inference methods as well as an interference based method proposed by our paper.

cbps_cate

codes of paper"Estimation of Treatment Effect Based on Covariate Balance"

cfrnet

Counterfactual Regression

cpplessons

Lecture notes, projects and other materials for Course 'CS205 C/C++ Program Design' at Southern University of Science and Technology.

cs-self-learning

计算机自学指南

deep-counterfactual-networks-with-propensity-dropout

Implementation of the paper "Deep Counterfactual Networks with Propensity-Dropout"(https://arxiv.org/pdf/1706.05966.pdf) in pytorch framework

dragonnet-pytorch

pytorch implementation of dragonnet

free-programming-books

:books: Freely available programming books

htesim

Simulation Study Framework for Heterogeneous Treatment Effect Estimation

images

to store obsidian images

inverse-online

Inverse Online Learning: Understanding Non-Stationary and Reactionary Policies (ICLR 2022) by Alex J. Chan, Alicia Curth, and Mihaela van der Schaar

kkndme_tianya

天涯 kkndme 神贴聊房价

machine_learning_code_implementation

Mathematical derivation and pure Python code implementation of machine learning algorithms.

machinelearningnotes

My personal notes

mlforhealthlabpub

Machine Learning and Artificial Intelligence for Medicine.

neural-networks-and-deep-learning

Code samples for my book "Neural Networks and Deep Learning"

perfect_match

➕➕ Perfect Match is a simple method for learning representations for counterfactual inference with neural networks.

rlearner

Quasi-Oracle Estimation of Heterogeneous Treatment Effects

tableau

tableau练习：数据集+课程复现+作业完成

time-series-analysis

code and data for the time series analysis vids on my YouTube channel

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