Yezi Chu's starred repositories
awesome-latex-drawing
Drawing Bayesian networks, graphical models, tensors, technical frameworks, and illustrations in LaTeX.
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!
awesome-causal-inference
Reading list for research topics in causal inference.
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
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.