neural-tangent-kernel topic
nngeometry
{KFAC,EKFAC,Diagonal,Implicit} Fisher Matrices and finite width NTKs in PyTorch
eigenlearning
codebase for "A Theory of the Inductive Bias and Generalization of Kernel Regression and Wide Neural Networks"
awesome-deep-phenomena
A curated list of papers of interesting empirical study and insight on deep learning. Continually updating...
dks
Multi-framework implementation of Deep Kernel Shaping and Tailored Activation Transformations, which are methods that modify neural network models (and their initializations) to make them easier to tr...
Lossless_Compression
We propose a lossless compression algorithm based on the NTK matrix for DNN. The compressed network yields asymptotically the same NTK as the original (dense and unquantized) network, with its weight...
scikit-ntk
Neural Tangent Kernel (NTK) module for the scikit-learn library
Neural-Thompson-Sampling
Study of the paper 'Neural Thompson Sampling' published in October 2020
trak
A fast, effective data attribution method for neural networks in PyTorch