This repository is a curated aggregation of "Awesome --Topic Name--" GitHub repositories, serving as a starting point for individuals interested in Data lifecycle, Machine Learning, and Deep Learning research. It aims to provide a comprehensive overview of resources across various subfields, from foundational math to advanced topics like Generative AI and MLOps.

How It Works

The project functions as a meta-list, collecting and categorizing links to other curated GitHub repositories. It organizes these resources by topic, covering a broad spectrum of ML/DL research areas, data engineering, software engineering for ML, and distributed systems. The creator acknowledges that not all linked resources are actively maintained but emphasizes their value as initial entry points.

Quick Start & Requirements

• Install/Run: No installation or execution is required; this is a curated list of links.
• Prerequisites: Access to a web browser and internet connection.
• Resources: Minimal; primarily for browsing and discovery.
• Links: The README itself serves as the primary resource.

Highlighted Details

• Extensive coverage of ML/DL subfields, including niche areas like Conformal Predictions, Long-tailed Recognition, and Neural Rendering.
• Includes resources for data lifecycle management, MLOps, and system design relevant to ML applications.
• Features links to foundational ML/DL libraries (PyTorch, TensorFlow, JAX), tools (Docker, Kubernetes), and cloud platforms (AWS, GCP, Azure).
• Organizes links for popular generative AI models and techniques like LLMs, ChatGPT, and Diffusion Models.

Maintenance & Community

The repository is maintained by Nachimak28. The README includes a "TODOs" section indicating potential future improvements, such as converting the README to a tabular format and alphabetizing topics. There are no explicit links to community channels or active contributor information provided.

Licensing & Compatibility

The repository itself does not contain code and is a list of links. The licensing of the linked repositories would vary and is not specified here.

Limitations & Caveats

The README explicitly states that "Not all of these links are actively maintained." The organization is a simple aggregation, and the quality or relevance of individual linked resources may vary. The project is a static list and does not offer any interactive functionality or code execution.