awesome-ai-ml-dl
Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.
What is awesome-ai-ml-dl?
Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.
Overview of awesome-ai-ml-dl
What it is
This repository is a curated collection of study notes and resources about Artificial Intelligence, Machine Learning, and Deep Learning. It is maintained as a learning companion for engineers, developers, data scientists, and anyone interested in these fields. The content is organized into sections covering core topics, specialized areas, tools, infrastructure, data analytics, and learning materials.
Key features
- Curated guides and resources for AI, ML, and DL topics
- Organized by domain: AI Agents, NLP, Computer Vision, LLMs, Generative AI, MLOps, Time Series, and more
- Includes references for Python, Java/JVM, and other programming languages
- Contains study notes, courses, competitions, cheatsheets, and research papers
- Covers tools, frameworks, cloud/DevOps infrastructure, and testing best practices
Use cases
- Self-study for individuals learning AI/ML/DL from scratch or advancing their knowledge
- Reference for finding curated tools, libraries, and frameworks for specific domains
- Resource for educators preparing course materials or workshops
- Quick lookup for best practices, cheatsheets, and deployment guides
Getting started
See the repository README for navigation and start-here sections.
License and pricing
The license is not stated in the provided metadata. The repository is open source and free to use, with a request for contributions and sponsorship.
Based on the project's public README and repository metadata.
