6 results found Sort:

KinWaiCheuk
nnAudio KinWaiCheuk
90
1.0k
mit
19
Audio processing by using pytorch 1D convolution network
stft pytorch spectrogram preprocessing 1d-convolution melspectrogram neural-network cqt-spectrogram audio-processing spectrogram-conversion-toolbox
Created 2019-09-02
305 commits to master branch, last one 10 months ago
yoyolicoris
pytorch-NMF yoyolicoris
24
233
mit
8
A pytorch package for non-negative matrix factorization.
gpu nmf plca siplca pytorch em-algorithm kl-divergence 1d-convolution beta-divergence nonnegative-matrix-factorization
Created 2018-10-31
202 commits to master branch, last one about a year ago
oravus
seqNet oravus
12
93
unknown
7
SeqNet: Code for the RA-L (ICRA) 2021 paper "SeqNet: Learning Descriptors for Sequence-Based Hierarchical Place Recognition"
snow temporal day-night sequential localization deep-learning 1d-convolution place-recognition visual-place-recognition
Created 2020-10-16
52 commits to main branch, last one 2 months ago
langnico
GEDI-BDL langnico
27
61
unknown
3
This repository provides the code used to create the results presented in "Global canopy height regression and uncertainty estimation from GEDI LIDAR waveforms with deep ensembles".
cnn gedi lidar 1d-cnn waveform regression deep-learning 1d-convolution deep-ensembles bayesian-deep-learning uncertainty-estimation convolutional-neural-networks
Created 2021-07-21
2 commits to main branch, last one 3 years ago
animikhaich
ECG-Atrial-Fibrillation-Classification-Using-CNN animikhaich
19
47
mit
3
This is a CNN based model which aims to automatically classify the ECG signals of a normal patient vs. a patient with AF and has been trained to achieve up to 93.33% validation accuracy.
ecg 1d-cnn patient cnn-keras ecg-signal tensorflow ecg-signals deep-learning 1d-convolution classification cnn-classification atrial-fibrillation
Created 2019-03-29
8 commits to master branch, last one 3 years ago
Sakib1263
TF-1D-2D-ResNetV1-2-SEResNet-ResNeXt-SEResNeXt Sakib1263
9
42
mit
3
Models supported: ResNet, ResNetV2, SE-ResNet, ResNeXt, SE-ResNeXt [layers: 18, 34, 50, 101, 152] (1D and 2D versions with DEMO for Classification and Regression).
demo resnet python3 resnext pipeline seresnet seresnext tensorflow2 deep-learning 1d-convolution 2d-convolution jupyter-notebook keras-tensorflow machine-learning regression-models classification-model
Created 2021-07-21
158 commits to main branch, last one 2 years ago