Lawrence Wu's Projects
Links and Notes from AI Engineer Summit 2023
Exercises for the book Applied Predictive Modeling by Kuhn and Johnson (2013)
Notes and working through the exercises
Awesome repositories for LLaMA1 and LLaMA2
List of Python API Wrappers and Libraries
Quant/Algorithm trading resources with an emphasis on Machine Learning
A curated list of Quarto talks, tools, examples & articles! Contributions welcome!
2019 AWS Certified Machine Learning – Study Notes
Tips and hints for anyone trying to take AWS Certified Solutions Architect – Associate exam (2018). Great for review some days before the actual exam. Feel free to make a PR to improve the content. PDF version in https://tinyurl.com/aws-cssa-tips.
A package written for R focused on baseball analysis. Currently in development.
Sermon transcripts for https://bereancc.com/ inspired by https://karpathy.ai/lexicap/index.html
Bond Lab is a suite of software for the analysis of fixed income securities.
Python implementations of the Boruta all-relevant feature selection method.
caret (Classification And Regression Training) R package that contains misc functions for training and plotting classification and regression models
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
US interactive map of Covid-19 outbreak
A toolkit for new hires in data science. Designed with Python users in mind.
The Leek group guide to data sharing
📗 A Little Book About Using Apache Drill and R
The Data Science Lifecycle Process is a process for taking data science teams from Idea to Value repeatedly and sustainably. The process is documented in this repo.
A walkthrough of essential DVC features (including tutorial text as well as a working environment).
Draft of the fastai book
Collection of functions to enhance ggplot2 plots with results from statistical tests.