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deep-learning-theory

Here are 5 public repositories matching this topic...

MinghuiChen43 / awesome-deep-phenomena

A curated list of papers of interesting empirical study and insight on deep learning. Continually updating...

awesome-list empirical-research grokking emergence information-bottleneck-theory non-convex-optimization lottery-ticket-hypothesis deep-learning-theory neuroscience-inspired-ai phase-transitions double-descent neural-tangent-kernel neural-collapse

Updated Dec 16, 2024

james-simon / eigenlearning

codebase for "A Theory of the Inductive Bias and Generalization of Kernel Regression and Wide Neural Networks"

deep-learning eigenvalues deep-learning-theory neural-tangents neural-tangent-kernel

Updated May 2, 2023
Jupyter Notebook

SeanJia / InfoMCR

Code for "Information-Theoretic Local Minima Characterization and Regularization"

tensorflow regularization generalization local-minima deep-learning-theory

Updated Jul 16, 2020
Python

gszfwsb / Unveiling-Induction-Heads

PyTorch implementation for "Unveiling Induction Heads: Provable Training Dynamics and Feature Learning in Transformers", NeurIPS 2024

transformers deep-learning-theory in-context-learning

Updated Oct 15, 2024
Jupyter Notebook

avysogorets / goldilocks-zone

Code to reproduce the paper "Deconstructing the Goldilocks Zone of Neural Network Initialization"

hessian initialization deep-learning-theory

Updated May 31, 2024
Python

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