This repository is a comprehensive guide to machine learning, covering applications, libraries, frameworks, LLMs, and model training. It serves as a valuable resource for ML developers, researchers, and enthusiasts looking to deepen their understanding and efficiency in ML development. The guide provides structured learning paths, tool recommendations, and detailed explanations of various ML concepts and technologies.

How It Works

The guide is structured into logical sections, starting with learning resources and progressing through ML frameworks, tools, LLMs, training methodologies, and specific development areas like PyTorch, TensorFlow, and Core ML. It also delves into algorithms, computer vision, NLP, bioinformatics, and CUDA development, offering a broad overview of the ML landscape. The content is curated from various reputable sources, including academic institutions, cloud providers, and industry leaders.

Quick Start & Requirements

This repository is a curated collection of links and information, not a software package. No installation or specific requirements are needed to access the information.

Highlighted Details

• Extensive coverage of popular ML frameworks like PyTorch, TensorFlow, and Keras.
• Detailed sections on Large Language Models (LLMs), including running them locally and deployment tools.
• Comprehensive lists of learning resources, books, courses, and tutorials for various ML domains.
• In-depth exploration of specialized areas such as Computer Vision, NLP, Bioinformatics, and CUDA development.

Maintenance & Community

This is a community-driven guide, with contributions encouraged via Pull Requests. The README does not specify active maintainers or community channels.

Licensing & Compatibility

Distributed under the Creative Commons Attribution 4.0 International (CC BY 4.0) Public License. This license allows for sharing and adaptation with attribution.

Limitations & Caveats

As a curated guide, the information's recency depends on the last update to the README. It serves as a directory of resources rather than a direct tool or library.