yezichu

awesome-latex-drawing

Drawing Bayesian networks, graphical models, tensors, technical frameworks, and illustrations in LaTeX.

are213

PhD Applied Econometrics class taught at UC Berkeley

academic-drawing

Providing codes (including Matlab and Python) for visualizing numerical experiment results.

causal_inference_r_workshop

Causal Inference in R Workshop

understanding_dl

A lecture note for understanding deep learning

Awesome-Feature-Learning-in-Deep-Learning-Thoery

Welcome to the Awesome Feature Learning in Deep Learning Thoery Reading Group! This repository serves as a collaborative platform for scholars, enthusiasts, and anyone interested in delving into the fascinating world of feature learning within deep learning theory.

tensor-book

张量计算系列教程 (Tensor Computations Tutorials)

advanced_causalinf

Advanced causal inference and research design course

CausalELM.jl

Taking causal inference to the extreme!

syntheticNN

survML

Tools for Flexible Survival Analysis Using Machine Learning

teaching

Teaching materials

awesome-causal-inference

Reading list for research topics in causal inference.

statelearner

Causal-Effect-Identification-in-LiNGAM-Models-with-Latent-Confounders

TestLinearSEM

causality

This repository aims to provide a comprehensive collection of methods for performing causal inference, including experimental designs, statistical methods, and advanced machine learning techniques. Each method will be implemented and documented with examples.

causal_reading

causal-inference-short-course

Lecture material for a short course on causal inference in drug discovery

mr_causal_attribution

Multiply-Robust Causal Change Attribution

causal_course_eeg

The course materials for ohbm 2024 educational courses Global Open Science Electrophysiology-Causal inference in clinical neuroscience with open science EEG.

Causal-Inference

Causal inference methods

causal_opto

Causal Inference in the Closed Loop

SpecIV

Spectral Representation for Causal Estimation with Hidden Confounders

sinkhorn-iv

Code for the Sinkhorn Method of Moments estimator for instrumental variable regression

CausalMultiOutcomes

Causal Inference for Genomic Data with Multiple Heterogeneous Outcomes

Proxy_variable

Automating the Selection of Proxy Variables of Unmeasured Confounders

Causal-Inference

Causal Inference Course at St. Gallen

cddr_bivariate

All code, results and images for the CDDR bivariate paper

RandomCausalGraphs

A library for simulating random causal graphs.