Zhan Gao

lm_lss_2024. Materials for "Language Models for Law and Social Science" (ETH Zurich), Spring 2024

LasForecast. Time series forecasting with Lasso-type shrinkage methods

AMIPPaper. TeX

AutoSci. Karpathy's LLM-Wiki vision, fully realized — wiki-centric full-lifecycle AI research platform powered by Claude Code

academic-research-skills. Academic Research Skills for Claude Code: research → write → review → revise → finalize

Deep_Learning_for_Solving_And_Estimating_Dynamic_Economic_Models. Jupyter Notebook

Notes. My idiosyncratic notes on computational economics.

claude-code-my-workflow. A ready-to-fork Claude Code template for academics using LaTeX/Beamer + R. Multi-agent review, quality gates, adversarial QA, and replication protocols.

abc-of-akm. Companion notebook to "A Users Guide to Uncovering Worker and Firm Effects: The ABC of AKM" by Bonhomme, Lamadon and Manresa for the Journal of Economic Perspective

claudeblattman. Claude Code for academics — skills, agents, and setup guides

ivxPredictive. Unified Statistical Inference with General Autoregressive Roots (R package)

autotune. Repository for R package of autotune Lasso

sreg. The 'sreg' package for R offers a robust toolkit for estimating average treatment effects (ATEs) within the context of a stratified block randomization design under the covariate-adaptive randomization (CAR).

social-value. Computation of social value on WG dataset (3-22-18 v1.1)

14.388_py. This material has been created based on the tutorials of the course 14.388 Inference on Causal and Structural Parameters Using ML and AI in the Department of Economics at MIT taught by Professor Victor Chernozukhov. All the scripts were in R and we decided to translate them into Python, so students can manage both programing languages. Jannis Kueck and V. Chernozukhov have also published the original R Codes in Kaggle. In adition, we included tutorials on Heterogenous Treatment Effects Using Causal Trees and Causal Forest from Susan Athey’s Machine Learning and Causal Inference course. We aim to add more empirical examples were the ML and CI tools can be applied using both programming languages.

Speech. A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)

bibfixer. A Python tool that automatically cleans, completes, and standardizes BibTeX entries using LLMs and web search.

xiaohongshu-mcp. MCP for xiaohongshu.com

reasoning-from-scratch. Implement a reasoning LLM in PyTorch from scratch, step by step

dendron. The personal knowledge management (PKM) tool that grows as you do!

pipedream. Connect APIs, remarkably fast. Free for developers.

GenericML. R implementation of Generic Machine Learning Inference (Chernozhukov, Demirer, Duflo and Fernández-Val, 2020).

hpc_docs. HPC Documentation and Examples

Latex-Exporter. TypeScript

obsidian-execute-code. Obsidian Plugin to execute code in a note.

obsidian-latex-theorem-equation-referencer. A powerful indexing & referencing system for theorems & equations in your Obsidian vault.

paper-note-filler. Obsidian plugin to automatically create a note from arXiv.org, acl anthology and semantic scholar.

vscode-stata. TypeScript

Instrumental-Variables. Instrumental Variables Mixtape Track taught by Peter Hull

EME. Supplementary material for "Essential Mathematics for Economics"

drrank. Python

ComputationalMethodsClass. Class Materials for 47-809 Computational Methods for Economics at Carnegie Mellon

tianshou. An elegant PyTorch deep reinforcement learning library.

EconRL. A collection of economics and finance papers that adopt reinforcement learning as a solution method.

nba-sql. :basketball: An application to build an NBA database backed by MariaDB/MySQL, Postgres compatible databases, or SQLite.

apxproof. LaTeX package for automatically putting proof environments in appendix

conformal-metalearners. [ NeurIPS 2023 ] Official Codebase for "Conformal Meta-learners for Predictive Inference of Individual Treatment Effects"

DeepHAM. Python

AI-PhD-S24. Mono repo for the PhD course AI for Business Research (DSME 6635, S24)

AI-PhD-S25. Mono-repo for the PhD course AI for Business Research (DOTE 6635, S25)

CATENets. Sklearn-style implementations of Neural Network-based Conditional Average Treatment Effect (CATE) Estimators.

Machine-Learning. Machine Learning and Causal Inference taught by Brigham Frandsen

Obsidian-Vault-Project-Management. This is my personal vault I use to manage projects I work on. Most of it is automated, using Dataview, Templater, Quickadd and the Button-Plugin to make it work.

obsidian-image-magician-plugin. This is a plugin for Obsidian (https://obsidian.md). Supports viewing and exporting various image formats using ImageMagick.

kmonad. An advanced keyboard manager

penrose. Create beautiful diagrams just by typing notation in plain text.

MetricsMLNotebooks. Notebooks for Applied Causal Inference Powered by ML and AI

semiparametrics-tutorial. Talk and code at Harvard's econometrics reading group

TechXposure. TechXposure is a database that provides information on the exposure of industries and occupations to 40 digital technologies that emerged over the last decade (2012–2021). The data are available for several industry and occupation classifications.

AeroSpace. AeroSpace is an i3-like tiling window manager for macOS

scinference. Inference for synthetic controls

ChatLaw. ChatLaw：A Powerful LLM Tailored for Chinese Legal. 中文法律大模型

539b. (Advanced) Applied Econometrics

RobustIV. R

logseq-chatgpt. Talk to ChatGPT directly from Logseq

basicPlotteR. A collection of tools to help with plotting with R

neverhpfilter. R package recreating econometric methods proposed in "Why You Should Never Use the Hodrick-Prescott Filter" by James Hamilton

USA-covid-policy. Systematic dataset of US sub-national Covid-19 policy data

mfrl_pytorch. Implementation of Mean Field Multi-Agent Reinforcement Learning in Pytorch

ssaggregate. Create industry-level aggregates for shift-share IV following Borusyak, Hull, and Jaravel (2022)

shift-share. Replication package and code for "Quasi-Experimental Shift-Share Designs"

litgpt. 20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.

latex-simple-css. Basic CSS Template for a latex article converted into HTML.

WeakExogeneity. Replication files for the paper Linear Regression with Weak Exogeneity

fredapi. Python API for FRED (Federal Reserve Economic Data) and ALFRED (Archival FRED)

Pencil. Python

pci. Private Causal Inference

bartik-weight. Stata

chatgpt-prompts-for-academic-writing. This list of writing prompts covers a range of topics and tasks, including brainstorming research ideas, improving language and style, conducting literature reviews, and developing research plans.

dswgan-paper. Replication files for "Using WGANs for the Design of Monte Carlo Simulations"

typst. A markup-based typesetting system that is powerful and easy to learn.

StructEst_W20. MACS 40200 (Winter 2020): Structural Estimation

DRL-Pytorch. Clean, Robust, and Unified PyTorch implementation of popular Deep Reinforcement Learning (DRL) algorithms (Q-learning, Duel DDQN, PER, C51, Noisy DQN, PPO, DDPG, TD3, SAC, ASL)

modeling-examples. Gurobi modeling examples

Pearl. A Production-ready Reinforcement Learning AI Agent Library brought by the Applied Reinforcement Learning team at Meta.

craftzdog-homepage. My homepage

softqlearning. Reinforcement Learning with Deep Energy-Based Policies

instant-reference. Instant Pdf Referencing

SCIGAN. Code for NeurIPS 2020 paper: "Estimating the Effects of Continuous-valued Interventions using Generative Adversarial Networks" by I. Bica, J. Jordon, M. van der Schaar

book. Code for the book "Mathematical Introduction to Deep Learning: Methods, Implementations, and Theory"

prompts.chat. f.k.a. Awesome ChatGPT Prompts. Share, discover, and collect prompts from the community. Free and open source — self-host for your organization with complete privacy.

locally_private_bpf_icml19. Code used for ICML 2019 Submission "Locally Private Bayesian Inference for Count Models"

census2020-das-e2e. Disclosure Avoidance System for the 2020 Census, End-to-End release

privacy-bibliography. Introductory Readings in Formal Privacy for Economists

pytorch-tutorial. PyTorch Tutorial for Deep Learning Researchers

hugo-coder. A minimalist blog theme for hugo.

latex-templates. latex templates

Shift-Share. Shift-Share Instrument Mixtape Track taught by Peter Hull

WebLaTex. A complete alternative for Overleaf with VSCode + Web + Git Integration + Copilot + Grammar & Spell Checker + Live Collaboration Support. Based on GitHub Codespace and Dev container.

TSFpaper. This repository contains a reading list of papers on Time Series Forecasting/Prediction (TSF) and Spatio-Temporal Forecasting/Prediction (STF). These papers are mainly categorized according to the type of model.

r-argparse. command-line optional and positional argument parser

PyTorch-RL. PyTorch implementation of Deep Reinforcement Learning: Policy Gradient methods (TRPO, PPO, A2C) and Generative Adversarial Imitation Learning (GAIL). Fast Fisher vector product TRPO.

did_compare. R-code to compare some staggered did methods

ds4e. Data Science for Economists and Other Animals

etwfe. Extended two-way fixed effects

tuning_playbook. A playbook for systematically maximizing the performance of deep learning models.

policy-learning-competing-agents. Jupyter Notebook

CausalModel. CausalModel implements widely used casual inference methods as well as an interference based method proposed by our paper.

CUDA_Freshman. Cuda

baby-llama2-chinese. 用于从头预训练+SFT一个小参数量的中文LLaMa2的仓库；24G单卡即可运行得到一个具备简单中文问答能力的chat-llama2.

the-gan-zoo. A list of all named GANs!

CausalRL. Implementation of "Dynamic Causal Effects Evaluation in A/B Testing with a Reinforcement Learning Framework" (JASA 2023)

DSE2023. Lectures and conference materials for the DSE2023 at the University of Lausanne, Switzerland

ddml. ddml: Double/Debiased Machine Learning in R

easy-rl. 强化学习中文教程（蘑菇书🍄），在线阅读地址：https://datawhalechina.github.io/easy-rl/

xuance. XuanCe: A Comprehensive and Unified Deep Reinforcement Learning Library

RL-short-course. Reinforcement Learning Short Course

Deep-Learning-for-Causal-Inference. Extensive tutorials for learning how to build deep learning models for causal inference (HTE) using selection on observables in Tensorflow 2 and Pytorch.

preview-vim. vim bindings for macOS Preview.app via Karabiner

causallib. A Python package for modular causal inference analysis and model evaluations

logseq-plugin-agenda. A calendar, task manager and daily planner plugin for logseq

did_imputation. Event studies: robust and efficient estimation, testing, and plotting

if-estimators. Estimators for Information Theoretic Functionals using Influence Functions

causalml. Uplift modeling and causal inference with machine learning algorithms

pytorch-lightning. Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.

GraphGAN. A tensorflow implementation of GraphGAN (Graph Representation Learning with Generative Adversarial Nets)

latex-presentation. Minimalist LaTeX template for academic presentations

networkinference. Inferential tools for network-dependent data.

deepviz. An R Package to Visualize Neural Network Architectures

ranger. A Fast Implementation of Random Forests

nvim. my neovim config

EC607S23. Causal-inference oriented doctoral econometrics course at UO

adversarial. Code and hyperparameters for the paper "Generative Adversarial Networks"

nerd-fonts. Iconic font aggregator, collection, & patcher. 3,600+ icons, 50+ patched fonts: Hack, Source Code Pro, more. Glyph collections: Font Awesome, Material Design Icons, Octicons, & more

dotfiles-public. My personal dotfiles

Book4_Power-of-Matrix. Book_4_《矩阵力量》 | 鸢尾花书：从加减乘除到机器学习；上架！

causal-inference-in-R. Causal Inference in R: A book!

annotated_latex_equations. Examples of how to create colorful, annotated equations in Latex using Tikz.

online_conformal. Methods for online conformal prediction.

d2l-zh. 《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。

NN-CUDA-Example. Several simple examples for popular neural network toolkits calling custom CUDA operators.

micro-metrics. This is a 2nd Year PhD Course In Micro-econometrics

MatrixHTE. R Package for Identifying Socially Disruptive Policies (Auerbach and Cai, 2023)

quiver. A modern commutative diagram editor for the web.

nn-cpi. Python

DRL. Deep Reinforcement Learning

cam-notes. My Cambridge Lecture Notes

DifferentiableStateSpaceModels.jl. Julia

LaTeX-Template. 📜 LaTeX Templates for Notes, Reports, CV/Resumes, and Beamers

VSCode-LaTeX-Inkscape. ✍️ A way to integrate LaTeX, VS Code, and Inkscape in macOS

pdf2htmlEX. Convert PDF to HTML without losing text or format.

manim. Animation engine for explanatory math videos

thefuck. Magnificent app which corrects your previous console command.

HonestDiD. Robust inference in difference-in-differences and event study designs

tidyfst. Tidy Verbs for Fast Data Manipulation

awesome-courses. :books: List of awesome university courses for learning Computer Science!

visualization-curriculum. A data visualization curriculum of interactive notebooks.

workshop-r-hpc. Workshop materials for R Programming for HPC

EconData. Data repository and R package to manage publicly-available economics data.

OpenCourseCatalog. Bilibili 公开课目录

JobMarketTracker. A simple economics job market application tracker

did_chapter. Code for DID chapter

rscodeio. An RStudio theme inspired by Visual Studio Code.

rstudio_themes. Collection of rstudio themes

my-theme. My current RStudio theme :)

inbedby7pm. My other theme was for Night Owls like myself. This theme was requested for by the "In Bed by 7pm" crowd

outference. A Tool for Valid Inference Corrected for Outlier Removal in Linear Regressions

randomgen. Numpy-compatible bit generators and add some random variate distributions missing from NumPy.

yn. A highly extensible Markdown editor. Version control, AI Copilot, mind map, documents encryption, code snippet running, integrated terminal, chart embedding, HTML applets, Reveal.js, plug-in, and macro replacement.

meadowrun. Meadowrun makes it easy to run your code on the cloud

trimmedlasso. Optimization approach to the trimmed Lasso penalty for sparse modeling

one-python. We don't need a lot of libraries. We just need the best ones. | Unofficial recommended first choice.

HowToLiveLonger. 程序员延寿指南 | A programmer's guide to live longer

HumanSystemOptimization. 健康学习到150岁 - 人体系统调优不完全指南

ggokabeito. Colorblind-friendly, qualitative Okabe-Ito Scales for ggplot2 and ggraph

prog. Functional Programming

helm-bibtex. Search and manage bibliographies in Emacs

DiD. Keeping track of what is going on with the latest DiD innovations.

latexindent.pl. Perl script to add indentation (leading horizontal space) to LaTeX files. It can modify line breaks before, during and after code blocks; it can perform text wrapping and paragraph line break removal. It can also perform string-based and regex-based substitutions/replacements. The script is customisable through its YAML interface.

vim-plug. :hibiscus: Minimalist Vim Plugin Manager

inkscape-shortcut-manager. Inkscape shorcut manager

inkscape-figures. Inkscape figure manager

hsnips. HyperSnips: a powerful snippet engine for VS Code, inspired by vim's UltiSnips

coding-for-economists. This repository hosts the code behind the online book, Coding for Economists.

conditional-conformal-pvalues. Conditional calibration of conformal p-values for outlier detection.

al-folio. A beautiful, simple, clean, and responsive Jekyll theme for academics

rig. The R Installation Manager

obsidian-publish-mkdocs. A Template to Publish Obsidian/Foam Notes on Github Pages (uses MkDocs)

obsidian-zola. A no-brainer solution to turning your Obsidian PKM into a Zola site.

Python-Text-Analysis-Fundamentals. D-Lab's 9 hour introduction to text analysis with Python. Learn how to perform bag-of-words, sentiment analysis, topic modeling, word embeddings, and more, using scikit-learn, NLTK, gensim, and spaCy in Python.

computational-text-analysis-spring-2019. Computational text analysis for Spring 2019 by Caroline Le Pennec-Caldichoury

L0Group. Grouped Variable Selection using L0 Regularization

Obsidian--ITS-Theme. Theme designed with readability and customizability in mind. Change it easily to your liking with the Style Settings plugin installed.

wereader. 一个浏览器扩展：主要用于微信读书做笔记，对常使用 Markdown 做笔记的读者比较有帮助。

simhelpers. Helper package to assist in running simulation studies

CulturalTransmission. R

networkit. NetworKit is a growing open-source toolkit for large-scale network analysis.

reproducible-research-practices-workshop. Workshop on reproducible research practices for psychologists

DeBERTa. The implementation of DeBERTa

diftrans. R package to find the difference-in-transports estimator

spider_collection. python爬虫，目前库存：网易云音乐歌曲爬取，B站视频爬取，知乎问答爬取，壁纸爬取，xvideos视频爬取，有声书爬取，微博爬虫，安居客信息爬取+数据可视化，哔哩哔哩视频封面提取器，ip代理池封装，知乎百万级用户爬虫+数据分析，github用户爬虫

EquityCharacteristics. Calculate U.S. equity (portfolio) characteristics

eventStudy. R package and guide for performing event studies with heterogeneous dynamic effects.

textables. Customized LaTeX tables in R

IVQR. Instrumental Variable Quantile Regression

r-rmtstat. An R package for distributions from random matrix theory

reinforcement-learning. Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

EC607S22. Causal-inference oriented doctoral econometrics course at UO

lecture-notes. LaTeX code for some of my lecture notes

mtheme. A modern LaTeX Beamer theme