LMxioafeixa

LMxioafeixa's Stars

• dair-ai/ml-visuals

  🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

  13.2k114491.4k

• peng-zhihui/XUAN

  5.4k10134824

• bubbliiiing/yolov4-tiny-pytorch

  这是一个YoloV4-tiny-pytorch的源码，可以用于训练自己的模型。

  Language:Python7782109185

• JulesBelveze/time-series-autoencoder

  PyTorch Dual-Attention LSTM-Autoencoder For Multivariate Time Series

  Language:Python62962361

• QiHuiKeJi/https-github.com-peng-zhihui-XUAN-Bike

  稚挥君XUAN自行车

  4529081

• LeiBAI/AGCRN

  Adaptive Graph Convolutional Recurrent Network

  Language:Python34061582

• XiuzeZhou/RUL

  Transformer Network for Remaining Useful Life Prediction of Lithium-Ion Batteries

  Language:Jupyter Notebook3012858

• slaysd/pytorch-sentiment-analysis-classification

  A PyTorch Tutorials of Sentiment Analysis Classification (RNN, LSTM, Bi-LSTM, LSTM+Attention, CNN)

  Language:Jupyter Notebook2843439

• ddrrrr/projectRUL

  to prediction the remain useful life of bearing based on 2012 PHM data

  Language:Python2430464

• GuangmingZhu/AttentionConvLSTM

  "Attention in Convolutional LSTM for Gesture Recognition" in NIPS 2018

  Language:Python21842551

• jiaxiang-cheng/PyTorch-Transformer-for-RUL-Prediction

  Transformer implementation with PyTorch for remaining useful life prediction on turbofan engine with NASA CMAPSS data set. Inspired by Mo, Y., Wu, Q., Li, X., & Huang, B. (2021). Remaining useful life estimation via transformer encoder enhanced by a gated convolutional unit. Journal of Intelligent Manufacturing, 1-10.

  Language:Python2153948

• luopeixiang/im2latex

  Pytorch implemention of Deep CNN Encoder + LSTM Decoder with Attention for Image to Latex

  Language:Python17572249

• wxkang157/PytorchPipeline

  Pytorch pipeline template

  Language:Python1353019

• Abhijit-Bhumireddy99/RUL_Prediction

  remaining Useful Life (RUL) Prediction of Mechanical Bearings using Continuous Wavelet Transform (CWT), Convolution Neural Network (CNN), and Long Short Term Memory (LSTM) unit

  Language:Jupyter Notebook1182416

• jiaxiang-cheng/PyTorch-LSTM-for-RUL-Prediction

  PyTorch implementation of remaining useful life prediction with long-short term memories (LSTM), performing on NASA C-MAPSS data sets. Partially inspired by Zheng, S., Ristovski, K., Farahat, A., & Gupta, C. (2017, June). Long short-term memory network for remaining useful life estimation.

  Language:Python1181223

• xiaobaicxy/text-classification-BiLSTM-Attention-pytorch

  文本分类， 双向lstm + attention 算法

  Language:Python86119

• schwxd/LSTM-Keras-CMAPSS

  Using LSTM to predict Remaining Useful Life of CMAPSS Dataset

  Language:Python801021

• ddrrrr/projectRUL2

  Language:Python581318

• zhijing-jin/pytorch_RelationExtraction_AttentionBiLSTM

  Pytorch Implementation of Attention-Based BiLSTM for Relation Extraction ("Attention-Based Bidirectional Long Short-Term Memory Networks for Relation Classification" ACL 2016 http://www.aclweb.org/anthology/P16-2034)

  Language:Python42433

• Priberam/SentimentAnalysis

  Sentiment Analysis: Deep Bi-LSTM+attention model

  Language:Python416013

• Junkun-Lu/RUL_Inception-Attention

  Remaining useful life prediction by Transformer-based Model

  Language:Python36234

• Dongcf/BiLSTM-Attention_CN_Text_Clf_Pytorch

  BiLSTM 加普通Attention中文文本多分类Pytorch实现

  Language:Python32227

• edchengg/PTB-pytorch-LSTM-attention

  PTB Language Modelling task with LSTM + Attention layer

  Language:Python312012

• MachineLP/py_workSpace

  MachineLP的工具包

  Language:Python183013

• fortuneSuyue/CNN-BiGRU-AM

  This repository includes code for the paper: Lithology Identification Based on One-dimensional Convolutional Neural Network and Recurrent Neural Network with Attention Mechanism.

  Language:Jupyter Notebook11111

• raissaantunes/timeseries

  Multivariate Time-Series Forecasting with LSTM and Attention Mechanism - SJSU (2021): Used Python and TensorFlow package to predict the remaining useful life of Turbofan engine applying LSTM and Attention Mechanism in an Encoder-Decoder architecture.

  Language:Python911

• ay4m/seq2seq_bidirectional

  Seq2Seq: Bidirectional LSTM with Attention in Pytorch

  Language:Jupyter Notebook5100

• junkwhinger/babynames_classifier

  pytorch implementation of LSTM + Self Attention for character level name classification

  Language:Jupyter Notebook4202