Explore live open-source projects and AI models.

A curated list of awesome frameworks, libraries, tools, tutorials, datasets, and research papers in machine learning. This list covers a wide array of topics, from foundational algorithms to modern techniques in supervised, unsupervised, and reinforcement learning.

Tutorial of machine learning model validation

Tutorial on machine learning many-body physics with Boltzmann machines

Is that wine good or bad? A beginner tutorial on how to build a binary classification machine learning model with no code using Azure Machine Learning Visual Interface

Code for Chapter 19 - A Step-By-Step Tutorial On How To Build A Machine Learning Model

Heard of Machine Learning? What's it all about? 🤷🏾‍♀️ This repo will contain tutorials on different models required to give you an intro into the world of Machine Learning

Machine learning tutorial for biologists, designed for Oz Single Cells 2019

This GitHub repository offers resources to create fair and unbiased AI systems, including libraries, tools and tutorials on identifying and mitigating bias in machine learning models and implementing fairness in AI.

My Tutorial notes for 2020S2 COMP90049 Introduction to Machine Learning

I created a repository for my Data Science blogs, where I share insights, tutorials, and projects on topics like machine learning, AI, and data analysis. Check it out on GitHub!