daturkel/learning-papers

Landmark Papers in Machine Learning

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Emerging

This document helps researchers and practitioners quickly find seminal scientific papers that introduced key machine learning techniques. It organizes the most impactful research papers by topic, from deep learning architectures like GPT to optimization algorithms, providing direct links to the publications. Anyone working with machine learning models will find this useful for understanding the origins and foundational concepts behind various algorithms.

709 stars. No commits in the last 6 months.

Use this if you need to understand the historical development or core principles of a specific machine learning algorithm or concept.

Not ideal if you're looking for practical code implementations, tutorials, or up-to-date advancements and benchmarks in machine learning.

machine-learning-research algorithm-foundations deep-learning-history nlp-techniques computer-vision-methods
Stale 6m No Package No Dependents
Maintenance 2 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 15 / 25

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Aug 14, 2025

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