SAD-BABOON

SAD-BABOON's Stars

• tensorflow/tensorflow

  An Open Source Machine Learning Framework for Everyone

  Language:C++186k7.6k40k74.3k

• jindongwang/transferlearning

  Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

  Language:Python13.5k3393393.8k

• philipperemy/keras-attention

  Keras Attention Layer (Luong and Bahdanau scores).

  Language:Python2.8k7856676

• titu1994/LSTM-FCN

  Codebase for the paper LSTM Fully Convolutional Networks for Time Series Classification

  Language:Python7572728264

• houshd/LSTM-FCN

  Codebase for the paper LSTM Fully Convolutional Networks for Time Series Classification

  Language:Python1397048

• Songweiping/TCN-TF

  TensorFlow Implementation of TCN (Temporal Convolutional Networks)

  Language:Python1115433

• Lipenghua-CQ/CNN-ASTLSTM

  Code for paper "An end-to-end neural network framework for SOH estimation and RUL prediction of lithium battery"

  Language:Python1012520

• ninja1mmm/2018-phm-data-challenge

  2018 phm data challenge, ion mill machine RUL & fault diagnosis

  Language:Python673237

• VaibhavBhujade/RUL-of-Lithium-Ion-Battery

  Prediction of RUL of Lithium ion battery

  Language:Python591016

• foryichuanqi/RESS-Paper-2022.09-Remaining-useful-life-prediction-by-TaFCN

  The source code of paper: Trend attention fully convolutional network for remaining useful life estimation in the turbofan engine PHM of CMAPSS dataset. Signal selection, Attention mechanism, and Interpretability of deep learning are explored.

  Language:Python49352

• tilman151/rul-datasets

  A collection of datasets for RUL estimation as Lightning Data Modules.

  Language:Python40252

• branden-ciranni/forecasting-battery-life

  Forecasting Remaining Useful Life (RUL) using NASA Li-Ion Battery Dataset

  Language:Python26209

• Bingohong/GroupNormalization-tensorflow-keras

  a Tensorflow implementation of Group Normalizations

  Language:Python242512

• Lim-Guowei/RUL

  Remaining useful life prediction for N-CMAPSS dataset

  Language:Python16200

• sab117/Using_ML_To_Predict_Remaining_Useful_Life-RUL-_of_IGBTs_in_Power_Systems

  Code is final 4th year project showing how machine learning can be used to predict the remaining useful life of IGBTs with power systems.

  Language:Python6101

• Alwayssun/PHMSystemServer

  phm

  Language:Python110

• floricaaa/projectRUL

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

  Language:Python1101

• floricaaa/transformers

  🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.

  Language:Python1100

• SAD-BABOON/transferlearning

  Everything about Transfer Learning and Domain Adaptation--迁移学习

  Language:Python1000

• senliuy/GroupNormalization-keras

  keras implementation of group normalization. https://arxiv.org/abs/1803.08494

  Language:Jupyter Notebook1301