GitHub topics: deep-learning-theory
MinghuiChen43/awesome-deep-phenomena
A curated list of papers of interesting empirical study and insight on deep learning. Continually updating...
Size: 17.3 MB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 323 - Forks: 12
gszfwsb/Unveiling-Induction-Heads
PyTorch implementation for "Unveiling Induction Heads: Provable Training Dynamics and Feature Learning in Transformers", NeurIPS 2024
Language: Jupyter Notebook - Size: 12 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 2 - Forks: 0
avysogorets/goldilocks-zone
Code to reproduce the paper "Deconstructing the Goldilocks Zone of Neural Network Initialization"
Language: Python - Size: 58.2 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0
james-simon/eigenlearning
codebase for "A Theory of the Inductive Bias and Generalization of Kernel Regression and Wide Neural Networks"
Language: Jupyter Notebook - Size: 1.72 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 45 - Forks: 8
SeanJia/InfoMCR
Code for "Information-Theoretic Local Minima Characterization and Regularization"
Language: Python - Size: 188 KB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 4 - Forks: 0
