snowdj's repositories

aa228-notebook

IJulia notebooks for AA228/CS238 Decision Making Under Uncertainty course at Stanford University

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barco

Linux containers from scratch in C.

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Causal-Inference-and-Discovery-in-Python

Causal Inference and Discovery in Python by Packt Publishing

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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

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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】

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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.

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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

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DSE2023

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

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free-programming-books

:books: Freely available programming books

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hands-on-react-2508422

This is a LinkedIn Learning repo for Hands-On React.

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HowToCook

程序员在家做饭方法指南。Programmer's guide about how to cook at home (Chinese only).

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IntroProg-exercises

Introductionary programming exercises

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IntroProg-lectures

Introductionary programming lectures

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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.

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looper

A resource list for causality in statistics, data science and physics

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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.

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mml-book.github.io

Companion webpage to the book "Mathematics For Machine Learning"

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Mr.-Ranedeer-AI-Tutor

A GPT-4 AI Tutor Prompt for customizable personalized learning experiences.

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plsc-30600-causal-inference

Github Repository for PLSC 30600 - Causal Inference

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plsc-40502-statistical-models

Repository for PLSC 40502 - "Data Analysis with Statistical Models"

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practical-python

Practical Python Programming (course by @dabeaz)

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prompt-engineering

Tips and tricks for working with Large Language Models like OpenAI's GPT-4.

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Python-Core-50-Courses

Python语言基础50课

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python-mastery

Advanced Python Mastery (course by @dabeaz)

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python-mini-project

🙌 Welcome open-source Python mini-project contributions!

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R_for_Applied_Economics

Repo for code from R for Applied Economics

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tlverse-handbook

🎯 :closed_book: The Hitchhiker's Guide to the tlverse, or a Targeted Learning Practitioner's Handbook [WIP]

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umich-workshop-2024

Slides and code for workshops given with the University of Michigan's SSDAN in 2024

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