GitHub topics: neural-tangent-kernel
tfjgeorge/nngeometry
{KFAC,EKFAC,Diagonal,Implicit} Fisher Matrices and finite width NTKs in PyTorch
Language: Python - Size: 25.1 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 211 - Forks: 23

MinghuiChen43/awesome-deep-phenomena
A curated list of papers of interesting empirical study and insight on deep learning. Continually updating...
Size: 16.8 MB - Last synced at: 6 days ago - Pushed at: 12 days ago - Stars: 320 - Forks: 12

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.
Language: Python - Size: 1.23 MB - Last synced at: about 21 hours ago - Pushed at: 3 days ago - Stars: 70 - Forks: 5

392781/scikit-ntk
Neural Tangent Kernel (NTK) module for the scikit-learn library
Language: Python - Size: 61.5 KB - Last synced at: 11 days ago - Pushed at: 7 months ago - Stars: 25 - Forks: 0

392781/neural-laplace
Empirical analysis of the Laplace and neural tangent kernel reproducing kernel Hilbert space (RKHS)
Language: Jupyter Notebook - Size: 191 MB - Last synced at: 11 days ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 0

TimoFlesch/NeuralTangentKernel
A Python implementation of the Neural Tangent Kernel (jacot et al, 2018)
Language: Jupyter Notebook - Size: 1.32 MB - Last synced at: 8 days ago - Pushed at: about 4 years ago - Stars: 7 - Forks: 1

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
Language: Python - Size: 699 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 21 - Forks: 4

MadryLab/trak
A fast, effective data attribution method for neural networks in PyTorch
Language: Python - Size: 14.7 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 179 - Forks: 25

forgi86/RNN-adaptation
Code accompanying the paper "On the adaptation of recurrent neural networks for system identification"
Language: Python - Size: 35.3 MB - Last synced at: about 2 months ago - Pushed at: about 1 year ago - Stars: 9 - Forks: 3

DLR-RM/moegplib
Official Code: Trust Your Robots! Predictive Uncertainty Estimation of Neural Networks with Sparse Gaussian Processes
Language: Python - Size: 218 KB - Last synced at: about 1 year ago - Pushed at: almost 3 years ago - Stars: 8 - Forks: 0

tanzh-lamda/RKME-NTK-Learnware-Specification
This paper explores the construction of RKME specification based on neural tangent kernels (NTK), and improves its efficiency through neural network Gaussian process (NNGP) and random feature approximation.
Language: Python - Size: 114 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

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.
Language: Python - Size: 71.4 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 21 - Forks: 2

Rubiksman78/Pole_projet_PINN
TF2 Implementation of Physics Informed Neural Networks and Neural Tangent Kernel
Language: Python - Size: 46.3 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 7 - Forks: 1

smithhenryd/Lazy-Training
Yale S&DS 432 final project studying lazy training dynamics for differentiable optimization problems
Language: TeX - Size: 16.1 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

smithhenryd/NN-Kernel-and-Rich-Regimes
Senior Project for Statistics & Data Science at Yale University
Language: TeX - Size: 164 MB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 0

yaodongyu/TCT
TCT: Convexifying Federated Learning using Bootstrapped Neural Tangent Kernels
Language: Python - Size: 3.65 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 3

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: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 45 - Forks: 8

genglinliu/NTK-study
Understand the spectral bias of deep learning through the study of NTK
Language: Jupyter Notebook - Size: 16.9 MB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

kwignb/RandomNeuralField
Implementation of "Deep Learning in Random Neural Fields: Numerical Experiments via Neural Tangent Kernel"
Language: Jupyter Notebook - Size: 2.97 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 1

RonyAbecidan/Neural-Thompson-Sampling
Study of the paper 'Neural Thompson Sampling' published in October 2020
Language: Jupyter Notebook - Size: 10.4 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 10 - Forks: 3

ZouWenXuan/Spike-and-Slab-RNN
Code for paper
Language: Jupyter Notebook - Size: 3.94 MB - Last synced at: almost 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

YconquestY/6.s088
Coursework of MIT 6.S088
Language: Jupyter Notebook - Size: 163 KB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0
