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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