kwang0913's Stars
kwignb/RandomNeuralField
Implementation of "Deep Learning in Random Neural Fields: Numerical Experiments via Neural Tangent Kernel"
genglinliu/NTK-study
Understand the spectral bias of deep learning through the study of NTK
392781/neural-laplace
Empirical analysis of the Laplace and neural tangent kernel reproducing kernel Hilbert space (RKHS)
FrankCCCCC/DL_DB_Quick_Note
A collection of papers & notes in deep learning and database.
AlbertDominguez/infinite-width-NNs
Infinite-width neural networks from a practical point of view
TimoFlesch/NeuralTangentKernel
A Python implementation of the Neural Tangent Kernel (jacot et al, 2018)
392781/scikit-ntk
Neural Tangent Kernel (NTK) module for the scikit-learn library
kwignb/NeuralTangentKernel-Papers
Neural Tangent Kernel Papers
rajatvd/NTK
Code for experiments in my blog post on the Neural Tangent Kernel: https://rajatvd.github.io/NTK
insuhan/ntk-sketch-rf
Python implementation of Scaling Neural Tangent Kernels via Sketching and Random Features
damaru2/ntk
NTK reading group
hendrydong/NTK-and-MF-examples
Visualization of mean field and neural tangent kernel regime
lthilnklover/deep-narrow-NTK
bobby-he/bayesian-ntk
Code to accompany paper 'Bayesian Deep Ensembles via the Neural Tangent Kernel'
LeoYu/neural-tangent-kernel-UCI
Testing Nerual Tangent Kernel (NTK) on small UCI datasets
tfjgeorge/nngeometry
{KFAC,EKFAC,Diagonal,Implicit} Fisher Matrices and finite width NTKs in PyTorch
bobby-he/Neural_Tangent_Kernel
google/neural-tangents
Fast and Easy Infinite Neural Networks in Python
davidrosenberg/ttml2021fall
DS-GA 3001: Tools and Techniques for Machine Learning (NYU Fall 2021)
abhishekkrthakur/approachingalmost
Approaching (Almost) Any Machine Learning Problem
hongleizhang/RSPapers
A Curated List of Must-read Papers on Recommender System.
hwalsuklee/tensorflow-generative-model-collections
Collection of generative models in Tensorflow
znxlwm/pytorch-generative-model-collections
Collection of generative models in Pytorch version.
wiseodd/generative-models
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
Stability-AI/generative-models
Generative Models by Stability AI
WeiHuang05/Awesome-Feature-Learning-in-Deep-Learning-Thoery
Welcome to the Awesome Feature Learning in Deep Learning Thoery Reading Group! This repository serves as a collaborative platform for scholars, enthusiasts, and anyone interested in delving into the fascinating world of feature learning within deep learning theory.
Z-MiCTrue/Adam-plus
This is a repository including the engineering-oriented improved Adam code and a test script to verify Adam's response characteristics to impulse signals.
Atcold/NYU-DLSP20
NYU Deep Learning Spring 2020
christophM/interpretable-ml-book
Book about interpretable machine learning
joaomlourenco/novathesis
A LaTeX template for academic monographs (e.g., dissertations and thesis). This template serves both beginners and proficient LaTeX users.