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Search results for kernel neural
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48 search results found
Neural Tangents
⭐
2,139
Fast and Easy Infinite Neural Networks in Python
Scikit Learn Doc Cn
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711
scikitlearn机器学习库中文文档翻译项目
Returnn
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344
The RWTH extensible training framework for universal recurrent neural networks
Nngeometry
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172
{KFAC,EKFAC,Diagonal,Implicit} Fisher Matrices and finite width NTKs in PyTorch
Nngp
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110
Deep neural network kernel for Gaussian process
Cntk
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92
Convolutional Neural Tangent Kernel
Target Guided Conversation
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88
Convcnp
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76
Implementation of the Convolutional Conditional Neural Process
Gntk
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63
Implementation of Graph Neural Tangent Kernel (NeurIPS 2019)
Neural Kernel Network
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62
Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326
Musco Pytorch
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55
MUSCO: MUltiStage COmpression of neural networks
Neural_networks
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47
Deep Kernel Gp
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46
Deep Kernel Learning. Gaussian Process Regression where the input is a neural network mapping of x that maximizes the marginal likelihood
Ntk
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43
Code for experiments in my blog post on the Neural Tangent Kernel: https://rajatvd.github.io/NTK
Ethos N Driver Stack
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42
Driver stack (including user space libraries, kernel module and firmware) for the Arm® Ethos™N NPU
Kasm Pytorch
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39
Reproducing the paper "KernelBased Approaches for Sequence Modeling: Connections to Neural Methods"
Chars74k_cnn
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35
Convolution Neural Network for reading text in natural images.
Nnspectra
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29
Computing the eigenvalues of Neural Tangent Kernel and Conjugate Kernel (aka NNGP kernel) over the boolean cube
Cnnumpy
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28
A Numpy implementation of a Convolutional Neural Network: slow & fast (im2col/col2im).
Neural_tangent_kernel
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22
Ntk4a
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18
Code for the paper: "Tensor Programs II: Neural Tangent Kernel for Any Architecture"
Pytorch Convcnp
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18
A PyTorch Implementation of Convolutional Conditional Neural Process.
Tsai Deepvision Eva4.0
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16
This contains the solutions to the assignments given in The School of AI  Extensive Vision AI 4.0 EVA4
Liteflow
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15
A Hybrid Framework to Build Highperformance Adaptive Neural Networks for Kernel Datapath
Ldp
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14
LDP for graph classification
Bayesian Ntk
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13
Code to accompany paper 'Bayesian Deep Ensembles via the Neural Tangent Kernel'
Spikenet.jl
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13
A spiking neural network simulator written in Julia.
Datamining
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11
Various data mining algorithms implemented with sklearn and tensorflow.
Lasagne_mnist
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7
Convolution Neural Network written in Theano/Lasagne for MNIST
Adaptive_kernel_methods
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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.
Tml19
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5
Repository for the Oxford reading group on Theoretical Machine Learning
Kernel_learning
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5
A GPflow implementation of the Neural Kernel Network
Laguerre Volterra Network
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5
Cuda Neural Network
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4
A CUDA project that implements optimizations of neural network operations on the GPU.
Kernels2rnns
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4
Repository for NeurIPS 2019 paper "KernelBased Approaches for Sequence Modeling: Connections to Neural Methods"
Knrm
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4
Piconn
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4
A less than 500 line 2layer neural network in C++
Opencl Neuralnetwork
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4
Simple MLP Neural Network example using OpenCL kernels that can run on the CPU or GPU, supports Elman and Jordan recurrent networks
Digitrecognizer
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3
This is demo app that efficiently solves the handwritten digit recognition problem, using Convolutional Neural Network (CNN).
Fashion Image Labeling
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3
Using Convolutional neural network to classify fashion images
Libsvm_arccos_kernel
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3
Libsvm with arccos kernel
Comic Neural Style Transfer Demo
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3
Demonstration of neural style transfer particularly suitable for comic books. Uses SoS notebook with itorch kernel.
Chapter6
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3
Chapter 6: Convolutional Neural Networks
Spreadout
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3
SpreadOut is complementary technique for kernel weight initialization in Convolutional Neural Networks.
Topology And Learning
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3
Papers on Topology + Learning.
Kernel Convolution
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2
PyTorch implementation of Kervolutional Neural Network (CVPR 2019): https://arxiv.org/abs/1904.03955
Rnng Notebook
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2
Notes on Recurrent Neural Network Grammars, Dyer et al. 2016
Pygks
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2
Gaussian kernel smoothed regression and topology learning neural networks like GNG and SOINN (Python Implementation).
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