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
rudymeza54/causal_inference
iswbm/magic-python
Python 黑魔法手册
microsoft/mimic_sepsis
Sepsis cohort from MIMIC dataset
xiaojiemao/applied-methods-phd
Repo for Yale Applied Empirical Methods PHD Course
MLD3/FIDDLE-experiments
Experiments applying FIDDLE on MIMIC-III and eICU. https://doi.org/10.1093/jamia/ocaa139
Nic5472K/ScientificData2021_HealthGym
ckbjimmy/hst953_iomed
HST.953 Workshop: Using MIMIC/eICU I/O and Medication Data
vanderschaarlab/mlforhealthlabpub
Machine Learning and Artificial Intelligence for Medicine.
vanderschaarlab/clairvoyance
Clairvoyance: a Unified, End-to-End AutoML Pipeline for Medical Time Series
rguo12/awesome-causality-data
A data index for learning causality.
d909b/drnet
💉📈 Dose response networks (DRNets) are a method for learning to estimate individual dose-response curves for multiple parametric treatments from observational data using neural networks.
ronikobrosly/scipy_2022_causal_inference_tutorial
A set of decks and notebooks with exercises for use in a hands-on causal inference tutorial session
uhlerlab/causaldag
Python package for the creation, manipulation, and learning of Causal DAGs
beamlab-hsph/Neural-Moment-Matching-Regression
Code for our NeurIPS 2022 work titled "Deep Learning Methods for Proximal Inference via Maximum Moment Restriction"
zhijing-jin/Causality4NLP_Papers
A reading list for papers on causality for natural language processing (NLP)
peisuke/ConditionalDensityEstimation
openFudan/fudan-coursera
复旦大学课程资源(计算机专业的课程已全部上传~)
synercys/annotated_latex_equations
Examples of how to create colorful, annotated equations in Latex using Tikz.
taishan1994/python_common_code_collection
收集经常用到的一些python代码
vveitch/causality-tutorials
Short tutorials on the use of machine learning methods for causal inference
raquelaoki/M3E2
Spring 21
epfml/OptML_course
EPFL Course - Optimization for Machine Learning - CS-439
lcylmhlcy/Awesome-algorithm-interview
算法工程师(人工智能CV方向)面试问题及相关资料
oxcsml/ML_bazaar
OxCSML research group reading groups and meetings at the Department of Statistics, University of Oxford.
foocker/deeplearningtheory
DennisFrauen/DeepACE
nuster1128/Awesome-Causal-Papers
We organize papers related to causal that published on top conferences recently. (因果领域论文分类汇总)
shenweichen/DeepCTR-Torch
【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.
stephenbeckr/ML-theory-class
Theoretical Machine Learning (APPM 4490) class, Spring 2022
NickCH-K/CausalitySlides
Slides for the Seattle University Causal Inference Class