neural-tangent-kernel
There are 23 repositories under neural-tangent-kernel topic.
MinghuiChen43/awesome-deep-phenomena
A curated list of papers of interesting empirical study and insight on deep learning. Continually updating...
tfjgeorge/nngeometry
{KFAC,EKFAC,Diagonal,Implicit} Fisher Matrices and finite width NTKs in PyTorch
MadryLab/trak
A fast, effective data attribution method for neural networks in PyTorch
google-deepmind/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 train.
james-simon/eigenlearning
codebase for "A Theory of the Inductive Bias and Generalization of Kernel Regression and Wide Neural Networks"
Model-Compression/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 weights and activations taking values only in {0, 1, -1} up to scaling.
392781/scikit-ntk
Neural Tangent Kernel (NTK) module for the scikit-learn library
RonyAbecidan/Neural-Thompson-Sampling
Study of the paper 'Neural Thompson Sampling' published in October 2020
DLR-RM/moegplib
Official Code: Trust Your Robots! Predictive Uncertainty Estimation of Neural Networks with Sparse Gaussian Processes
Rubiksman78/Pole_projet_PINN
TF2 Implementation of Physics Informed Neural Networks and Neural Tangent Kernel
forgi86/RNN-adaptation
Code accompanying the paper "On the adaptation of recurrent neural networks for system identification"
TimoFlesch/NeuralTangentKernel
A Python implementation of the Neural Tangent Kernel (jacot et al, 2018)
kwignb/RandomNeuralField
Implementation of "Deep Learning in Random Neural Fields: Numerical Experiments via Neural Tangent Kernel"
tanzh-lamda/RKME-NTK-Learnware-Specification
Code for "Learnware Reduced Kernel Mean Embedding Specification Based on Neural Tangent Kernel"
392781/neural-laplace
Empirical analysis of the Laplace and neural tangent kernel reproducing kernel Hilbert space (RKHS)
yaodongyu/TCT
TCT: Convexifying Federated Learning using Bootstrapped Neural Tangent Kernels
genglinliu/NTK-study
Understand the spectral bias of deep learning through the study of NTK
iurada/px-ntk-pruning
Official repository of our work "Finding Lottery Tickets in Vision Models via Data-driven Spectral Foresight Pruning" accepted at CVPR 2024
smithhenryd/NN-Kernel-and-Rich-Regimes
Senior Project for Statistics & Data Science at Yale University
smithhenryd/Lazy-Training
Yale S&DS 432 final project studying lazy training dynamics for differentiable optimization problems
YconquestY/6.s088
Coursework of MIT 6.S088
ZouWenXuan/Spike-and-Slab-RNN
Code for paper
bandofstraycats/naq
Implementation of Approximate Smooth Kernel Value Iteration