kenandaoerdect / one-dimensional-data-classificationLinks
Simple one-dimensional data classification using LSTM, CNN, FC in Pytorch
☆22Updated 6 years ago
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
Sorting:
- 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
- Encoding time series as images using GAF operation by pyts.☆228Updated 3 years ago
- 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
- 基于一维卷积神经网络(1D-CNN)的多元时间序列分类☆80Updated 5 years ago
- 一维卷积神经网络☆42Updated 6 years ago
- 深度残差收缩网络处理一维时域信号☆36Updated 2 years ago
- GAN based ConvLSTM in precipitation prediction (Trial Version)☆49Updated last year
- Self-Attention ConvLSTM for Spatiotemporal Prediction, described in `https://ojs.aaai.org//index.php/AAAI/article/view/6819`, test on Mov…☆66Updated 4 years ago
- Pytorch implementation of Self-Attention ConvLSTM☆108Updated last year
- Autoencoders in PyTorch☆102Updated 6 years ago
- A simple program to implement the Symplectic geometry mode decomposition (SGMD), including python and matlab versions.☆26Updated 2 years ago
- 使用改良的Transformer模型应用于多维时间序列的分类任务上☆23Updated 4 years ago
- 多模态数据融合:为了完成多模态数据融合,首先利用VGG16网络和cifar10数据集完成多输入网络的分类,在VGG16的基础之上,将前三层特征提取网络作为不同输入的特征提取网络,在中间层进行特征拼接,后面的卷积层用于提取融合特征,最后加上全连接层。该网络稍作修改就能同时提取…☆99Updated 5 years ago
- This documents the training and evaluation of a Hybrid CNN-LSTM Attention model for time series classification in a dataset. The model co…☆28Updated 11 months ago
- Deep Residual Shrinkage Networks for Intelligent Fault Diagnosis(pytorch) 深度残差收缩网络应用 于故障诊断☆241Updated 2 years ago
- ☆25Updated 4 years ago
- The deep residual shrinkage network is a variant of deep residual networks.☆495Updated 3 weeks ago
- Concepts used: kNN, SVM, boosting (XGBoost, Gradient boosting, Light GBM, AdaBoost, Random Forests), deep learning (CNN, LSTM), ensembles…☆13Updated 3 years ago
- CNN for regression☆12Updated 6 years ago
- 基于VMD-Attention-LSTM的时间序 列预测模型(代码仅使用了一个较小数据集的训练及预测,内含使用使用逻辑,适合初学者观看,模型结构是可行的,有能力的请尝试使用更大的数据集训练)☆67Updated 2 years ago
- the extension of https://github.com/philipperemy/keras-attention-mechanism , create a new scipt to add attetion to input dimensions rath…☆78Updated last year
- pytorch >>> 快速搭建自己的模型!☆126Updated 3 years ago
- A repository for Crash detection in a ResNet+ConvLSTM fashion☆12Updated last year
- CNN with attention and CNN_LSTM_attention(pytorch)☆18Updated 6 years ago
- 基于粒子群算法优化的BPNN和ElM对海浪高度的预测☆44Updated 3 years ago
- Unofficial implementation of paper “Multi-scale Attention Convolutional Neural Network for time series classification”[Neural Networks202…☆17Updated 3 years ago
- 基于可变形卷积和注意力机制的滚动轴承故障诊断☆49Updated 4 years ago
- [深度应用]·DC竞赛轴承故障检测开源Baseline(基于Keras1D卷积 val_acc:0.99780)☆203Updated 6 years ago
- Pytorch implementation for "LSTM Fully Convolutional Networks for Time Series Classification"☆32Updated 5 years ago
- 经验模态分解 (Empirical Mode Decomposition)☆57Updated 5 years ago