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
Sparky-Xia/THU-Mathematics-Books
清华数学系部分课程教材及参考资料,自用,侵删
zecevic-matej/SMLW-Causality-Tutorial
Eastern European Machine Learning Summer School (EEML) Workshop Series 2022. Tutorial on Causality for the Serbian Machine Learning Workshop on Deep Learning and Reinforcement Learning.
JackHCC/Awesome-Uplift-Model
🛠 How to Apply Causal ML to Real Scene Modeling?How to learn Causal ML?【✔从Causal ML到实际场景的Uplift建模】
fluentpython/example-code-2e
Example code for Fluent Python, 2nd edition (O'Reilly 2022)
google-research/tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.
lokinko/Federated-Learning
联邦学习
csquires/6.S091-causality
anpwu/Causal4Application
roboticcam/machine-learning-notes
My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习,概率模型和深度学习的讲义(2000+页)和视频链接
altdeep/causalML
The open source repository for the Causal Modeling in Machine Learning Workshop at Altdeep.ai @ www.altdeep.ai/courses/causalML
Jarvis-BITS/midodrine-mimic-iv
Descriptive & prescriptive analysis of the effects of Vasoconstrictive medication via MIMIC's database using Targeted Maximum Likelihood Estimation for Causal Inference & ML techniques
jvpoulos/causal-ml
Must-read papers and resources related to causal inference and machine (deep) learning
andrewyyp/Kernel-Doubly-Robust
This is the public code of the paper "Minimax Kernel Machine Learning for a Class of Doubly Robust Functionals with Application to Proximal Causal Inference" by Ghassami et al. (2022) published in AISTATS
bryangraham/Harvard_Ec2147
jiafengkevinchen/semiparametrics-tutorial
Talk and code at Harvard's econometrics reading group
cran/PCL
:exclamation: This is a read-only mirror of the CRAN R package repository. PCL — Proximal Causal Learning
shixu0830/OnlineCausal
This repository includes source code for online causal inference.
diff-usion/Awesome-Diffusion-Models
A collection of resources and papers on Diffusion Models
nosuggest/Reflection_Summary
算法理论基础知识应知应会
hangsz/pandas-tutorial
适合初级到中级晋升者,有了体系之后就看熟练度了。
SanJerry007/Introduction-to-Causal-Inference
Notes and slides on Brady Neal's online Causal Inference course in English. 因果推理入门课程(by Brady Neal)的英文笔记,分享以供交流,已完结。
muggledy/typora-dyzj-theme
Typora主题css样式
jrfiedler/causal_inference_python_code
Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins
xieliaing/CausalInferenceIntro
Causal Inference for the Brave and True的中文翻译版。全部代码基于Python,适用于计量经济学、量化社会学、策略评估等领域。英文版原作者:Matheus Facure
graykode/distribution-is-all-you-need
The basic distribution probability Tutorial for Deep Learning Researchers
lib-pku/libpku
贵校课程资料民间整理
zysxmu/IntraQ
Pytorch implementation of our paper accepted by CVPR 2022 -- IntraQ: Learning Synthetic Images with Intra-Class Heterogeneity for Zero-Shot Network Quantization
WZMIAOMIAO/deep-learning-for-image-processing
deep learning for image processing including classification and object-detection etc.
lelouchsola/LearningNotes
szcf-weiya/ESL-CN
The Elements of Statistical Learning (ESL)的中文翻译、代码实现及其习题解答。