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keras_stft_layer

Do STFT in Keras

kerasr

DeepLearning using Keras with R

kernel-principal-component-analysis-kernel-pca-

In the field of multivariate statistics, kernel principal component analysis (kernel PCA) [1] is an extension of principal component analysis (PCA) using techniques of kernel methods. Using a kernel, the originally linear operations of PCA are performed in a reproducing kernel Hilbert space.

kernel-principal-component-analysis-kpca

KPCA for dimensionality reduction, feature extraction , fault detection, and fault diagnosis

kgcnn

code of KGCNN

kids_rsfmri_motion

kronecker-based-cs-recovery

Kronecker technique for improving quality of the signal in compressive sensing recovery

kspace-coil-combination-of-noncartesian-mrsi-data

kspace.deeplearning.mri

k-Space Deep Learning for Accelerated MRI Reconstruction

kspace_demo

Simulation of MRI epi acquisition

kspace_precond

Scripts to reproduce experiments for k-space preconditioning

kt-dynamic-mri-reconstruction

[MICCAI'19] k-t NEXT: Dynamic MR Image Reconstruction Exploiting Spatio-Temporal Correlations

ktblast

Python implementation of k-t BLAST MR reconstruction algorithm.

ktsvd

Multidimensional Dictionary Learning

l-bfgs-b-c

L-BFGS-B, converted from Fortran to C, with Matlab wrapper

l1-l1-rnn

Designing recurrent neural networks by unfolding an l1-l1 minimization algorithm

l1ae

Code for our paper "Learning a compressed sensing measurement matrix via gradient unrolling".

l2-net

Code and mode for CVPR 2017 paper "L2-Net: Deep Learning of Discriminative Patch Descriptor in Euclidean Space"

l2storm

Code for l2SToRM

l3net

ICLR 2021 (spotlight): Graph Convolution with Low-rank Learnable Local Filters

label-virusshare

A project to label the VirusShare malware corpus using VirusTotal's public API.

lambda-net

lcc

The lcc retargetable ANSI C compiler

lcd_driver

800*480分辨率LCD屏幕驱动

lcd_fpga_integration

This Repo contains a way to use a 2.4inch SPI based TFT LCD with any FPGA.

lcpttc

ldct_nonlocal

Official Source Code for the paper Noise Conscious Training of Non Local Neural Network Powered by Self Attentive Spectral Normalized Markovian Patch GAN for Low Dose CT Denoising.

learn_python

learning-caffe

learning-the-bloch-manifold-deeplearning-for-magnetic-resonancefingerprinting

Project of MSc AI