Explore live open-source projects and AI models.

This repository contains resources and assignments focused on **Machine Learning** and **Artificial Intelligence** presently working on developing a community of AI enthusiasts at LNMIIT. Resoruces include course materalis, blogs, reserch papers, assignments and tutorials as well as project ideas.

machine learing and deep learning tutorials for education and psychology. 给心理学和教育学看的机器学习和深度学习教程

Material for tutorial "Hybrid techniques for knowledge-based NLP: Knowledge graphs meet machine learning and all their friends" at KCAP 2017, Austin (Texas)

Workshop on Deep Learning for Health and Life Sciences

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.

Build a classifier to predict the outcome of Dota 2 games with the Naive Bayes algorithm and results from 102,944 sample games.

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