This repository provides over 250 detailed flashcards covering machine learning, computer vision, and computer science topics, aimed at individuals with a foundational understanding of these fields. The flashcards serve as a review tool for experienced practitioners and an overview for those newer to ML, aiding in study and interview preparation.

How It Works

The flashcards are presented primarily as PDF documents for convenience, with links to more dynamic, animated Q&A versions in presentation slide format. This approach offers a structured way to review complex topics, with speaker notes providing additional context and links to external resources for deeper learning.

Quick Start & Requirements

• View flashcards directly via provided PDF links or presentation slide links.
• No specific software installation required for viewing.

Highlighted Details

• Covers a broad range of topics: classical ML, deep learning, 2D/3D computer vision, NLP, reinforcement learning, generative models, NeRFs, Gaussian splatting, LLMs, and VLMs.
• Content updated to include recent advancements like NeRFs and Gaussian splatting.
• Includes links to external resources like Stanford's CS231n, the GenAI Handbook, and ML interview preparation materials.

Maintenance & Community

• The project is maintained by b7leung.
• Changelog indicates updates in May 2025 (RL, NeRFs, Gaussian splatting, generative models, LLMs, VLMs) and initial release in July 2022.

Licensing & Compatibility

• The repository does not explicitly state a license.

Limitations & Caveats

• The content is not a definitive resource and may contain errors or omissions due to the rapidly evolving nature of the field.
• Newer users are advised to supplement with dedicated educational materials.