GitHub topics: 1d-convolution
Bsingstad/Strodthoff-2021 Fork of helme/ecg_ptbxl_benchmarking
[Re] Deep Learning for ECG Analysis: Benchmarks and Insights from PTB-XL, N. Strodthoff, P. Wagner, T. Schaeffter, and W. Samek,
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KinWaiCheuk/nnAudio
Audio processing by using pytorch 1D convolution network
Language: Python - Size: 94.7 MB - Last synced at: 25 days ago - Pushed at: about 1 month ago - Stars: 1,067 - Forks: 93
ZFTurbo/classification_models_1D
Classification models 1D Zoo - Keras and TF.Keras
Language: Python - Size: 152 KB - Last synced at: about 1 month ago - Pushed at: 11 months ago - Stars: 25 - Forks: 2
dylanperdigao/Bayesian-Optimization-1D-CSNN
Source code of the paper entitled "Improving Fraud Detection with 1D-Convolutional Spiking Neural Networks through Bayesian Optimization", and presented at EPIA 2024, the 23rd International Conference on Artificial Intelligence.
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animikhaich/ECG-Atrial-Fibrillation-Classification-Using-CNN
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.
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yoyolicoris/pytorch-NMF
A pytorch package for non-negative matrix factorization.
Language: Python - Size: 5.49 MB - Last synced at: 6 days ago - Pushed at: 11 months ago - Stars: 239 - Forks: 23
Bsingstad/ECG-Federated-Learning
This project implements 6 different privacy-preserving collaborative learning methods for training multi-institutional ECG classification models.
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Bsingstad/ECG-age
Public repository associated with: "Using deep convolutional neural networks to predict patients age based on ECGs from an independent test cohort"
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ljbkusters/YOLOv3-1D
A version of the YOLOv3 network capable of handling 1D data inputs.
Language: Python - Size: 458 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 3 - Forks: 1
Husseinhhameed/Weather-Predictions
Complete project of predicting the weather condition using Deep Learning
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LahiruJayasinghe/RUL-Net
Deep learning approach for estimation of Remaining Useful Life (RUL) of an engine
Language: Python - Size: 29.5 MB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 210 - Forks: 70
Sakib1263/VGG-1D-2D-Tensorflow-Keras
Models Supported: VGG11, VGG13, VGG16, VGG16_v2, VGG19 (1D and 2D versions with DEMO for Classification and Regression).
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SYED-M-HUSSAIN/Deep_Scratch
This repository contains Convolutional Neural Networks implemented from scratch.
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Computational-Imaging-LAB/1DCNN-Glioma-1H-MRS
IDH and TERTp mutation classification in gliomas using 1D-CNN with MRS data.
Language: Python - Size: 11.3 MB - Last synced at: 3 months ago - Pushed at: about 3 years ago - Stars: 5 - Forks: 0
Sakib1263/TF-1D-2D-ResNetV1-2-SEResNet-ResNeXt-SEResNeXt
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).
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langnico/GEDI-BDL
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".
Language: Python - Size: 30.3 KB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 53 - Forks: 23
Bsingstad/ECG-classification-using-classifier-chain
This repository is associated with Multi-Label ECG Classification Using Convolutional Neural Networks in a Classifier Chain
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Bsingstad/ECG-Age-Bayesian
This work is the preliminary experiments leading to the publication: Towards Invariant Soft Biometrics from Electrocardiograms
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Bsingstad/EEG-predict-cardiac-arrest-recovery
Public repository associated with: "MemoryInception: Predicting Neurological Recovery from EEG Using Recurrent Inceptions"
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Bsingstad/PhysioNet-CinC-Challenge2020-TeamUIO
Public repository associated with: Convolutional Neural Network and Rule-Based Algorithms for Classifying 12-lead ECGs
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Bsingstad/Heart-murmur-detection-2022-Simulab
Public repository associated with: "honocardiogram classification using 1-dimensional inception time convolutional neural network"
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oravus/seqNet
SeqNet: Code for the RA-L (ICRA) 2021 paper "SeqNet: Learning Descriptors for Sequence-Based Hierarchical Place Recognition"
Language: Python - Size: 1.77 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 87 - Forks: 11
Sakib1263/Inception-InceptionResNet-SEInception-SEInceptionResNet-1D-2D-Tensorflow-Keras
Models Supported: Inception [v1, v2, v3, v4], SE-Inception, Inception_ResNet [v1, v2], SE-Inception_ResNet (1D and 2D version with DEMO for Classification and Regression)
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wmylxmj/Deep-Piano
Play The Piano With Deep Learning 用深度学习弹钢琴 2019-5-22
Language: Python - Size: 473 KB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 5 - Forks: 1
LouayMagdy/Speech-Emotion-Recognition Fork of Basel-byte/Speech-Emotion-Recognition
Speech Emotion Recognition using 1D and 2D Convolutional Neural Networks
Size: 1.6 MB - Last synced at: about 1 year ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0
linksense/ConvolutionaNeuralNetworksToEnhanceCodedSpeech
In this work we propose two postprocessing approaches applying convolutional neural networks (CNNs) either in the time domain or the cepstral domain to enhance the coded speech without any modification of the codecs. The time domain approach follows an end-to-end fashion, while the cepstral domain approach uses analysis-synthesis with cepstral domain features. The proposed postprocessors in both domains are evaluated for various narrowband and wideband speech codecs in a wide range of conditions. The proposed postprocessor improves speech quality (PESQ) by up to 0.25 MOS-LQO points for G.711, 0.30 points for G.726, 0.82 points for G.722, and 0.26 points for adaptive multirate wideband codec (AMR-WB). In a subjective CCR listening test, the proposed postprocessor on G.711-coded speech exceeds the speech quality of an ITU-T-standardized postfilter by 0.36 CMOS points, and obtains a clear preference of 1.77 CMOS points compared to G.711, even en par with uncoded speech.
Language: Python - Size: 597 KB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 27 - Forks: 11
harryjdavies/Python1D_CNNs
1D convolutional neural networks for activity recognition in python.
Language: Python - Size: 11.7 KB - Last synced at: about 2 years ago - Pushed at: about 5 years ago - Stars: 15 - Forks: 3
xrafael/ecgPpg2Art
Predict blood pressure (systolic and diastolic) rythm from ECG and pulse oximeter signals
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xiaosongshine/ECG_challenge_baseline_keras
[深度应用]·首届中国心电智能大赛初赛开源Baseline（基于Keras val_acc: 0.88）
Language: Python - Size: 121 MB - Last synced at: over 2 years ago - Pushed at: over 5 years ago - Stars: 67 - Forks: 34
nildip/DeepLearn_UrbanSoundClassification
Set of 1D CNN models to classify sound clips from the Urban Sound Classification dataset using Keras and Librosa
Language: Python - Size: 12.7 KB - Last synced at: over 2 years ago - Pushed at: almost 7 years ago - Stars: 6 - Forks: 4
gabrielspadon/nnAudio Fork of KinWaiCheuk/nnAudio
On-the-fly spectrogram generation
Size: 94.6 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0
com526000-deep-learning/protein-family
Protein structure prediction using 1d CNN and GRU 🧬
Language: Python - Size: 57.1 MB - Last synced at: almost 2 years ago - Pushed at: almost 4 years ago - Stars: 2 - Forks: 2
nikopetr/one-dimensional-convolution
1-D convolution implementation using Python and CUDA
Language: Python - Size: 3.03 MB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 5 - Forks: 0
shbaydadaev/ICN
Impulse Classification Network (ICN) for video Head Impulse Test
Language: Python - Size: 8.17 MB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 1
ruchikachavhan/Antihydrogen-Detection-by-Deep-Learning
Anti-hydrogen detection using CNNs from ASACUSA experiment
Language: Python - Size: 31.9 MB - Last synced at: 6 months ago - Pushed at: almost 6 years ago - Stars: 1 - Forks: 1
gargeesuresh/toxic-text-classifier
a CNN that used word embeddings from GloVe to classify toxic comments
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purelyvivid/AIA_st2_kaggle_ml4
用Tensorflow2.0進行外匯收盤價預測, 使用LSTM, 1d-CNN, Seq2Seq
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din0s/1D-convolution
1-dimensional convolution implementation using C++ and CUDA
Language: C++ - Size: 2.7 MB - Last synced at: over 2 years ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 0
nildip/DeepLearn_NUMBERS
Set of 2D & 1D CNN models to classify images of handwritten numbers from the MNIST dataset using Keras.
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shashanktyagi/Sentiment-Analysis
Movie ratings prediction
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