Zehong-Wang/Awesome-Weight-Space-Learning
A collection of weight space learning including papers, codes, and datasets.
This collection helps AI researchers and machine learning engineers navigate the emerging field of weight space learning. It provides a curated list of research papers, code implementations, and datasets. Users can explore resources related to understanding, discriminating, and generating neural network parameters, moving beyond traditional input-output analysis.
Use this if you are a researcher or practitioner in machine learning or AI looking for comprehensive resources on analyzing and manipulating the internal parameters (weights) of neural networks.
Not ideal if you are looking for ready-to-use software tools or tutorials for applying standard machine learning models, rather than exploring advanced research concepts.
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MIT
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Last pushed
Mar 12, 2026
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