ML Visuals is an open-source project that provides a collection of reusable diagrams, templates, and visual resources designed to improve communication in machine learning research and education. The repository contains professional-quality figures that illustrate machine learning concepts such as neural networks, optimization methods, model architectures, and common deep learning techniques. These visuals are intended to help researchers, educators, and students create clearer presentations, blog posts, and scientific papers. The project is maintained as a collaborative community effort where contributors can add new diagrams or visual components. Many of the visuals are designed using editable formats such as Google Slides, making it easy for users to customize them for their own work.
Features
- Collection of reusable diagrams illustrating machine learning concepts
- Editable visual templates designed for presentations and publications
- Community-driven contributions of new diagrams and graphics
- Visual representations of neural networks, CNNs, RNNs, and transformers
- Open resources that can be freely reused and customized
- Figures designed to improve clarity in scientific communication