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Neural Tangents ⭐ 2,139

Fast and Easy Infinite Neural Networks in Python

Scikit Learn Doc Cn ⭐ 711

scikit-learn机器学习库中文文档翻译项目

Returnn ⭐ 344

The RWTH extensible training framework for universal recurrent neural networks

Nngeometry ⭐ 172

{KFAC,EKFAC,Diagonal,Implicit} Fisher Matrices and finite width NTKs in PyTorch

Deep neural network kernel for Gaussian process

Convolutional Neural Tangent Kernel

Target Guided Conversation ⭐ 88

Implementation of the Convolutional Conditional Neural Process

Implementation of Graph Neural Tangent Kernel (NeurIPS 2019)

Neural Kernel Network ⭐ 62

Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326

Musco Pytorch ⭐ 55

MUSCO: MUlti-Stage COmpression of neural networks

Neural_networks ⭐ 47

Deep Kernel Gp ⭐ 46

Deep Kernel Learning. Gaussian Process Regression where the input is a neural network mapping of x that maximizes the marginal likelihood

Code for experiments in my blog post on the Neural Tangent Kernel: https://rajatvd.github.io/NTK

Ethos N Driver Stack ⭐ 42

Driver stack (including user space libraries, kernel module and firmware) for the Arm® Ethos™-N NPU

Kasm Pytorch ⭐ 39

Reproducing the paper "Kernel-Based Approaches for Sequence Modeling: Connections to Neural Methods"

Chars74k_cnn ⭐ 35

Convolution Neural Network for reading text in natural images.

Nnspectra ⭐ 29

Computing the eigenvalues of Neural Tangent Kernel and Conjugate Kernel (aka NNGP kernel) over the boolean cube

A Numpy implementation of a Convolutional Neural Network: slow & fast (im2col/col2im).

Neural_tangent_kernel ⭐ 22

Code for the paper: "Tensor Programs II: Neural Tangent Kernel for Any Architecture"

Pytorch Convcnp ⭐ 18

A PyTorch Implementation of Convolutional Conditional Neural Process.

Tsai Deepvision Eva4.0 ⭐ 16

This contains the solutions to the assignments given in The School of AI - Extensive Vision AI 4.0 EVA4

Liteflow ⭐ 15

A Hybrid Framework to Build High-performance Adaptive Neural Networks for Kernel Datapath

LDP for graph classification

Bayesian Ntk ⭐ 13

Code to accompany paper 'Bayesian Deep Ensembles via the Neural Tangent Kernel'

Spikenet.jl ⭐ 13

A spiking neural network simulator written in Julia.

Datamining ⭐ 11

Various data mining algorithms implemented with sklearn and tensorflow.

Lasagne_mnist ⭐ 7

Convolution Neural Network written in Theano/Lasagne for MNIST

Adaptive_kernel_methods ⭐ 6

Python code for Kernel LMS (KLMS) algorithm with sklearn API. We also implemented neural spike kernels. We also have KLMS and Kernel PCA for neural spike data.

Repository for the Oxford reading group on Theoretical Machine Learning

Kernel_learning ⭐ 5

A GPflow implementation of the Neural Kernel Network

Laguerre Volterra Network ⭐ 5

Cuda Neural Network ⭐ 4

A CUDA project that implements optimizations of neural network operations on the GPU.

Kernels2rnns ⭐ 4

Repository for NeurIPS 2019 paper "Kernel-Based Approaches for Sequence Modeling: Connections to Neural Methods"

A less than 500 line 2-layer neural network in C++

Opencl Neuralnetwork ⭐ 4

Simple MLP Neural Network example using OpenCL kernels that can run on the CPU or GPU, supports Elman and Jordan recurrent networks

Digitrecognizer ⭐ 3

This is demo app that efficiently solves the handwritten digit recognition problem, using Convolutional Neural Network (CNN).

Fashion Image Labeling ⭐ 3

Using Convolutional neural network to classify fashion images

Libsvm_arccos_kernel ⭐ 3

Libsvm with arccos kernel

Comic Neural Style Transfer Demo ⭐ 3

Demonstration of neural style transfer particularly suitable for comic books. Uses SoS notebook with itorch kernel.

Chapter 6: Convolutional Neural Networks

Spreadout ⭐ 3

SpreadOut is complementary technique for kernel weight initialization in Convolutional Neural Networks.

Topology And Learning ⭐ 3

Papers on Topology + Learning.

Kernel Convolution ⭐ 2

PyTorch implementation of Kervolutional Neural Network (CVPR 2019): https://arxiv.org/abs/1904.03955

Rnng Notebook ⭐ 2

Notes on Recurrent Neural Network Grammars, Dyer et al. 2016

Gaussian kernel smoothed regression and topology learning neural networks like GNG and SOINN (Python Implementation).

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