Alternatives and similar repositories for one-dimensional-data-classification

Users that are interested in one-dimensional-data-classification are comparing it to the libraries listed below

• silence-club / DRSN-1D
  深度残差收缩网络处理一维时域信号
  ☆37Updated 2 years ago
• Jaxcute / 1DCNN
  一维卷积神经网络
  ☆41Updated 5 years ago
• fish-kong / CSDN-code-link
  由于CSDN博客里面不能直接上代码链接，涉嫌营销推广，因此建一个github仓库用于整理这些代码链接
  ☆153Updated 2 years ago
• strongnine / Series2Image
  Encoding time series as images using GAF operation by pyts.
  ☆225Updated 3 years ago
• zhuofupan / Pytorch-Deep-Neural-Networks
  pytorch >>> 快速搭建自己的模型！
  ☆124Updated 2 years ago
• vvanggeng / TSC-CNN
  基于一维卷积神经网络（1D-CNN）的多元时间序列分类
  ☆78Updated 5 years ago
• LitoNeo / pytorch-AutoEncoders
  Autoencoders in PyTorch
  ☆101Updated 5 years ago
• 0515912 / Rolling-bearing-fault-diagnosis
  利用最小二乘支持向量机进行分类器建模，改进鲸鱼算法（基于冯洛伊曼拓扑的鲸鱼算法）进行超参数寻优
  ☆41Updated 5 years ago
• liguge / Deep-Residual-Shrinkage-Networks-for-intelligent-fault-diagnosis-DRSN-
  Deep Residual Shrinkage Networks for Intelligent Fault Diagnosis（pytorch） 深度残差收缩网络应用于故障诊断
  ☆232Updated 2 years ago
• LixiangHan / GANs-for-1D-Signal
  implementation of several GANs with pytorch
  ☆158Updated 3 years ago
• cingtiye / Basic-time-domain-and-frequency-domain-features-of-signals
  ☆33Updated 5 years ago
• realWang-Wei / BroadLearningSystem
  here is the introduce of bls
  ☆69Updated 4 years ago
• zhao62 / Deep-Residual-Shrinkage-Networks
  The deep residual shrinkage network is a variant of deep residual networks.
  ☆482Updated last month
• HirojiSawatari / EEMD-Project
  This is a MATLAB project which can calculate EMD/EEMD
  ☆87Updated 8 years ago
• M73ACat / SGMD
  A simple program to implement the Symplectic geometry mode decomposition (SGMD), including python and matlab versions.
  ☆25Updated 2 years ago
• viniciuserra / Gearbox-Hybrid-CNN-SVM
  The features of nonlinearity and non-stationarity in real systems are often difficult to be extracted. This paper focuses on developing a…
  ☆23Updated last year
• XD-onmyway / cnn_for_fault_diagnosis
  ☆26Updated 4 years ago
• SY-Ma / Gated-Transformer-on-MTS
  使用改良的Transformer模型应用于多维时间序列的分类任务上
  ☆11Updated 4 years ago
• wargod797 / Fault_diagnosis_ballbearing_wavelet
  Bearing fault diagnosis is important in condition monitoring of any rotating machine. Early fault detection in machinery can save million…
  ☆98Updated 5 years ago
• ymzx / pso-svm
  粒子群算法优化支持向量机
  ☆139Updated 3 years ago
• albertszg / Deformable-multi-attention-convolutional-neural-network
  基于可变形卷积和注意力机制的滚动轴承故障诊断
  ☆45Updated 4 years ago
• Shizhaoyu7288 / GA-SVM
  使用遗传算法优化支持向量机/Optimization of support vector machine using genetic algorithm
  ☆38Updated 3 years ago
• MaximoDouglas / systemic-blood-pressure-regression
  Regression with SVR, CNN and CNN-LSTM
  ☆14Updated 5 years ago
• gaoruohan / DBN_predict_performance
  graduation design DBN + SVM
  ☆36Updated 6 years ago
• erphm / MA1DCNN
  The code of Understanding and Learning Discriminant Features based on Multi-Attention 1DCNN for Wheelset Bearing Fault Diagnosis.
  ☆26Updated 5 years ago
• v3551G / Imaging_sequence_data
  ☆23Updated 4 years ago
• 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 Class…
  ☆43Updated 3 years ago
• liguge / 1D-Grad-CAM-for-interpretable-intelligent-fault-diagnosis
  智能故障诊断中一维类梯度激活映射可视化展示 1D-Grad-CAM for interpretable intelligent fault diagnosis
  ☆108Updated 2 years ago
• yzbbj / Bayesian-optimized-CNN
  Using Bayesian optimization to optimaze the network of CNN,which is used in fault diagnosis
  ☆15Updated 3 years ago
• zamaex96 / Hybrid-CNN-LSTM-with-Spatial-Attention
  This documents the training and evaluation of a Hybrid CNN-LSTM Attention model for time series classification in a dataset. The model co…
  ☆22Updated 6 months ago