Stars
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
Colorise Anime/Manga Sketches with DeOldify
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
Original ESMValTool code used to produce IPCC figures. This repository will be made public shortly after the publication of the IPCC report