MinghuiChen43 / awesome-deep-phenomena Star 216 Code Issues Pull requests 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 May 31, 2024
james-simon / eigenlearning Star 49 Code Issues Pull requests 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 Star 5 Code Issues Pull requests Code for "Information-Theoretic Local Minima Characterization and Regularization" tensorflow regularization generalization local-minima deep-learning-theory Updated Jul 16, 2020 Python
avysogorets / goldilocks-zone Star 0 Code Issues Pull requests Code to reproduce the paper "Deconstructing the Goldilocks Zone of Neural Network Initialization" hessian initialization deep-learning-theory Updated May 31, 2024 Python