yezichu
I am currently studying at Fudan University ISTBI, with a research focus on causal inference and machine learning theory.
Fudan UniversityShanghai
yezichu's Stars
DataCanvasIO/YLearn
YLearn, a pun of "learn why", is a python package for causal inference
CyC2018/CS-Notes
:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计
krahets/LeetCode-Book
《剑指 Offer》 Python, Java, C++ 解题代码,LeetBook《图解算法数据结构》配套代码仓
lorenzoFabbri/intro-modern-ci
Quarto version of "Introduction to Modern Causal Inference" by Alejandro Schuler.
minsoo9506/causality-study
study about causality
jakobrunge/tigramite
Tigramite is a python package for causal inference with a focus on time series data. The Tigramite documentation is at
pylzy-98/Causality-in-CV
pymc-labs/CausalPy
A Python package for causal inference in quasi-experimental settings
y0-causal-inference/y0
❓y0 (pronounced "why not?") is for causal inference in Python
JSchweisthal/ReliableDosageCombi
Implementation of "Reliable Off-Policy Learning for Dosage Combinations"
alwaysmodest/A-Survey-of-Deep-Causal-Models-and-Their-Industrial-Applications
microprediction/microactors-causality
Examples of causality maps for time series driven by GitHub actions
dmachlanski/iads-summer-school-causality-2023
A one-day workshop on causal inference from observational data provided as part of IADS Summer School in July 2023.
marionomics/econometria
Libro Econometría e Inferencia Causal con Ejercicios en Python
msuzen/looper
A resource list for causality in statistics, data science and physics
py-why/causal-learn
Causal Discovery in Python. It also includes (conditional) independence tests and score functions.
zongpingding/All-About-TeX
对于LaTeX新手,你能想到的问题,几乎都能在我这个仓库找到
paulgp/applied-methods-phd
Repo for Yale Applied Empirical Methods PHD Course
logangraham/arXausality
A every-so-often-updated collection of every causality + machine learning paper submitted to arXiv in the recent past.
Eldave93/Seizure-Detection-Tutorials
A series of tutorials teaching the use of Python for epileptic seizure detection on open-source datasets
kamilest/conformal-rnn
Implementation for Stankevičiūtė et al. "Conformal time-series forecasting", NeurIPS 2021.
matheusfacure/python-causality-handbook
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
PacktPublishing/Causal-Inference-and-Discovery-in-Python
Causal Inference and Discovery in Python by Packt Publishing
nus-mornin-lab/echo-mimiciii
Transthoracic echocardiography and mortality in sepsis: analysis of the MIMIC-III database
matteocourthoud/awesome-causal-inference
A curated list of causal inference libraries, resources, and applications.
joanbruna/MathsDL-spring18
Topics course Mathematics of Deep Learning, NYU, Spring 18
alistairewj/mechanical-power
Study on mechanical power in MIMIC-III and eICU-CRD
MLNLP-World/Top-AI-Conferences-Paper-with-Code
MLNLP: This repository is a collection of AI top conferences papers (e.g. ACL, EMNLP, NAACL, COLING, AAAI, IJCAI, ICLR, NeurIPS, and ICML) with open resource code
rguo12/awesome-causality-algorithms
An index of algorithms for learning causality with data
causaltext/causal-text-papers
Curated research at the intersection of causal inference and natural language processing.