Pinned Repositories
-julia-
量化宏观及julia应用
01-my-template
14.388_jl
This Jupyterbook 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 Julia, 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.
14.388_r
This Jupyterbook 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.
18S096SciML
18.S096 - Applications of Scientific Machine Learning
computational_economics
Computational economics is a field of economic study at the intersection of computer science, economics and management science. The main focus of is the integration of information (IT) into economics and the automation of formerly manual processes.
Discrete-Choice-Analysis-with-R
Notes for teaching Discrete Choice Analysis
EC524W20
Masters-level applied econometrics course—focusing on prediction—at the University of Oregon (EC424/524 during Winter quarter, 2020 Taught by Ed Rubin
MathematicalEngineeringDeepLearning
Material for The Mathematical Engineering of Deep Learning. See https://deeplearningmath.org
RIntroEconometrics
Using R for Introduction of Econometrics for Woodridge
snowdj's Repositories
snowdj/barco
Linux containers from scratch in C.
snowdj/Causal-Inference-and-Discovery-in-Python
Causal Inference and Discovery in Python by Packt Publishing
snowdj/CausalCookbook
snowdj/CS-Base
图解计算机网络、操作系统、计算机组成、数据库，共 1000 张图 + 50 万字，破除晦涩难懂的计算机基础知识，让天下没有难懂的八股文！🚀 在线阅读：https://xiaolincoding.com
snowdj/CV_dl
✔（已完结）最全面的 深度学习 笔记【土堆 Pytorch】【李沐 动手学深度学习】【吴恩达 深度学习】
snowdj/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.
snowdj/ding_causalInference_python
python implementation of Peng Ding's "First Course in Causal Inference" https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/ZX3VEV
snowdj/DSE2023
Lectures and conference materials for the DSE2023 at the University of Lausanne, Switzerland
snowdj/Econ1630_Github
snowdj/free-programming-books
:books: Freely available programming books
snowdj/gpt-llm-trainer
snowdj/handbooks
Data Science Handbooks
snowdj/HowToCook
程序员在家做饭方法指南。Programmer's guide about how to cook at home (Chinese only).
snowdj/IntroProg-exercises
Introductionary programming exercises
snowdj/IntroProg-lectures
Introductionary programming lectures
snowdj/javascript-for-beginners-notes
StevenCodeCraft.com, course materials for the 'JavaScript for Beginners' 3 hour video course
snowdj/local-llms-analyse-finance
In this project, I explored how local LLMs can be used to label data and support analyses. Specifically, I used Llama2 model to automatically categorise my bank transaction data.
snowdj/mgtecon634_r
This tutorial will introduce key concepts in machine learning-based causal inference. This tutorial is used by professor Susan Athey in the MGTECON 634 at Stanford.
snowdj/mml-book.github.io
Companion webpage to the book "Mathematics For Machine Learning"
snowdj/Mr.-Ranedeer-AI-Tutor
A GPT-4 AI Tutor Prompt for customizable personalized learning experiences.
snowdj/plsc-30600-causal-inference
Github Repository for PLSC 30600 - Causal Inference
snowdj/plsc-40502-statistical-models
Repository for PLSC 40502 - "Data Analysis with Statistical Models"
snowdj/practical-python
Practical Python Programming (course by @dabeaz)
snowdj/prompt-engineering
Tips and tricks for working with Large Language Models like OpenAI's GPT-4.
snowdj/Python-Core-50-Courses
Python语言基础50课
snowdj/python-mastery
Advanced Python Mastery (course by @dabeaz)
snowdj/python-mini-project
🙌 Welcome open-source Python mini-project contributions!
snowdj/R_for_Applied_Economics
Repo for code from R for Applied Economics
snowdj/tlverse-handbook
🎯 :closed_book: The Hitchhiker's Guide to the tlverse, or a Targeted Learning Practitioner's Handbook [WIP]
snowdj/umich-workshop-2024
Slides and code for workshops given with the University of Michigan's SSDAN in 2024