Pinned Repositories
awesome-machine-learning-interpretability
A curated list of awesome machine learning interpretability resources.
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
CLTV
data-science-interviews
Data science interview questions and answers
Data_Science_Industrial_Practice
《数据科学工程实践》一书的Jupyter Notebook库，以及交流园地。
dowhy
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
interpret
Fit interpretable models. Explain blackbox machine learning.
keras-practice
Everything I practice about keras for deep learning
SAS
This is the collection of my own SAS utility macros/ sample code over my past 10 years of SAS programming and analysis experience from 2004 to 2014.
semantic-kernel-xl
Integrate cutting-edge LLM technology quickly and easily into your apps
xieliaing's Repositories
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
xieliaing/SAS
This is the collection of my own SAS utility macros/ sample code over my past 10 years of SAS programming and analysis experience from 2004 to 2014.
xieliaing/Data_Science_Industrial_Practice
《数据科学工程实践》一书的Jupyter Notebook库，以及交流园地。
xieliaing/keras-practice
Everything I practice about keras for deep learning
xieliaing/interpret
Fit interpretable models. Explain blackbox machine learning.
xieliaing/data-science-interviews
Data science interview questions and answers
xieliaing/dowhy
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
xieliaing/lifelines
Survival analysis in Python
xieliaing/models
Premade models for SQLFlow
xieliaing/Prompt-Engineering-Guide
:octopus: Guides, papers, lecture, and resources for prompt engineering
xieliaing/statsmodels
Statsmodels: statistical modeling and econometrics in Python
xieliaing/xieliaing
Config files for my GitHub profile.
xieliaing/anomaly-detection-resources
Anomaly detection related books, papers, videos, and toolboxes
xieliaing/semantic-kernel-xl
Integrate cutting-edge LLM technology quickly and easily into your apps
xieliaing/Awesome-LLM
Awesome-LLM: a curated list of Large Language Model
xieliaing/cuml
cuML - RAPIDS Machine Learning Library
xieliaing/DeepNLP-Course
Deep NLP Course
xieliaing/framework
Machine learning, computer vision, statistics and general scientific computing for .NET. I am working on TimeSeries library.
xieliaing/keras
Deep Learning library for Python. Runs on TensorFlow, Theano, or CNTK.
xieliaing/langchain
⚡ Building applications with LLMs through composability ⚡
xieliaing/lifetimes
Lifetime value in Python
xieliaing/prednet
Code and models accompanying "Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning"
xieliaing/PulsarRPA
Automate webpages at scale, scrape web data completely and accurately with high performance, distributed RPA.
xieliaing/pwc
Papers with code. Sorted by stars. Updated weekly.
xieliaing/scikit-learn
scikit-learn: machine learning in Python
xieliaing/Side-Projects
xieliaing/SparseSC
Fit Sparse Synthetic Control Models in Python
xieliaing/xieliaing.github.io
Personal Blogs
xieliaing/yfinance
Download market data from Yahoo! Finance's API
xieliaing/zipline
Zipline, a Pythonic Algorithmic Trading Library