This is a repo with links to everything you'd ever want to learn about data engineering

Companion webpage to the book "Mathematics For Machine Learning"

Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

Getting started with soccer analytics

A benchmark dataset for data-driven weather forecasting

Real numbers, data science and chaos: How to fit any dataset with a single parameter

A virtual lab of LLM agents for science research

Materials for MIT 6.S083 / 18.S190: Computational thinking with Julia + application to the COVID-19 pandemic

Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line of code. We are looking for co-authors to take this project forward. Reach out @…

Statistics Tutorial for IT Operations Engineers

虾神的Python示例代码库

Learning Data Science, a textbook.

Pytorch implementation of Conditional-GAN (CGAN)

Thermodynamically Explainable Representations of AI and other black-box Paradigms

Code repository for review paper titled "Uncertainty Quantification in Machine Learning for Engineering Design and Health Prognostics: A Comprehensive Review"

Trust-A-Thon materials for the Trustworthy AI for Environmental Science Summer School