4 days ago · Here we have discussed a variety of complex machine-learning projects that will challenge both your practical engineering skills and your theoretical knowledge of machine learning. 1. Image and Video Processing. 2. Recommendation Systems. 3. Speech and Language Processing. 4. Health and Medical Applications. 5. Security and Surveillance. 6.

Jan 29, 2025 · Here are 72 public repositories matching this topic... A curated list of graph data augmentation papers. OpenABC-D is a large-scale labeled dataset generated by synthesizing open source hardware IPs. This dataset can be used for various graph level prediction problems in chip design. TigerLily: Finding drug interactions in silico with the Graph.

Jan 3, 2023 · In this blog post, we cover the basics of graph machine learning. We first study what graphs are, why they are used, and how best to represent them. We then cover briefly how people learn on graphs, from pre-neural methods (exploring graph features at the same time) to what are commonly called Graph Neural Networks.

It’s an excellent project for those looking to manage multi-step ML workflows efficiently. 4. Automating-Machine-Learning-Testing. Key Skills Covered: GitHub Actions, DeepChecks, Model Testing . Testing is a critical but often overlooked aspect of machine learning. This project teaches you how to automate ML testing using GitHub Actions and ...

Nov 17, 2024 · These beginner machine learning projects consist of dealing with structured, tabular data. You will apply the skills of data cleaning, processing, and visualization for analytical purposes and use the scikit-learn framework to train and validate machine learning models.

Provide end-to-end real-world examples of graph machine learning. Recent versions of NumPy, PyTorch, PyTorch Geometric and Jupyter are required. All the required packages can be installed using the following commands: Pull requests are welcome. MIT. …

Mar 17, 2025 · In this article, I’ll share 15 machine learning project ideas to inspire your next data science endeavor. 1. Predictive Maintenance System. I think a predictive maintenance system is a great machine learning project idea. It uses data to forecast when equipment might fail so companies can fix things before they break down.

Created by Parker Erickson and Dan McCreary, the goal of this site is to compile papers, videos, and projects related to the fields of graph (especially knowledge graphs) and machine learning. Please reach out to us with any recomendations for content with a pull request to the repository.

Tutorials of machine learning on graphs using PyG, written by Stanford students in CS224W.

Topics include: representation learning and Graph Neural Networks; algorithms for the World Wide Web; reasoning over Knowledge Graphs; influence maximization; disease outbreak detection, social network analysis.