Laborieux-Axel/holomorphic_eqprop
Repository to reproduce the results of the paper "Holomorphic Equilibrium Propagation Computes Exact Gradients Through Finite Size Oscillations"
This project helps machine learning researchers understand and reproduce results from a specific paper on 'Holomorphic Equilibrium Propagation'. It takes simulation parameters in JSON files and outputs data and logs detailing neural network dynamics and training outcomes. This is intended for researchers working on advanced machine learning algorithms and their theoretical underpinnings.
No commits in the last 6 months.
Use this if you are a machine learning researcher aiming to validate or build upon the findings of the 'Holomorphic Equilibrium Propagation' paper.
Not ideal if you are looking for a general-purpose machine learning library or a tool for immediate practical application in product development.
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11
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2
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Oct 20, 2024
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