This repository serves as a curated collection of deep learning tutorials, papers, and resources, targeting individuals seeking to learn or advance their knowledge in deep learning. It aims to provide a comprehensive and organized starting point for exploring various subfields and techniques within deep learning, from foundational concepts to state-of-the-art research.

How It Works

The project functions as a meta-repository, aggregating links to external resources such as blog posts, research papers with code, online courses, and GitHub repositories. It categorizes these resources by topic, including general deep learning, NLP, computer vision, reinforcement learning, graph neural networks, and model optimization techniques like quantization and distillation. This structured approach allows users to navigate and discover relevant learning materials efficiently.

Quick Start & Requirements

This repository is a collection of links and does not require installation or execution. Users can browse the README for direct access to external resources.

Highlighted Details

• Extensive coverage of various deep learning subfields, including NLP, Computer Vision, Speech Processing, and Data Science.
• Detailed sections on model optimization techniques like Quantization, Distillation, and AutoML.
• Curated lists of popular deep learning frameworks, libraries, and tools such as PyTorch, TensorFlow, Hugging Face, and NVIDIA NeMo.
• Includes resources for understanding and implementing advanced topics like Graph Neural Networks and Deep Reinforcement Learning.

Maintenance & Community

The repository is maintained by ahkarami. No specific community channels or active development signals are explicitly mentioned in the README.

Licensing & Compatibility

The repository itself, as a collection of links, does not impose a specific license. However, users should adhere to the licenses of the linked external resources.

Limitations & Caveats

The content is a curated list of links, meaning the quality and availability of the linked resources are external to this repository. Some links may become outdated or inaccessible over time.