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this code library is mainly about applying graph neural networks to intelligent diagnostic and prognostic.

Python 202 44 Updated Jan 31, 2023

Open source simulation model for the induction machine with an inter-turn short circuit fault

7 2 Updated Mar 31, 2020

The program simulate fault bearing signal for CNN-designated classification task.

Python 5 2 Updated Aug 1, 2022

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

Python 13,245 3,801 Updated Sep 9, 2024

This repo provides source code for cross-domain machine fault diagnosis using an unsupervised domain adaptation approach (Feature Representation Alignment Networks).

Python 34 7 Updated Dec 25, 2020

Few-shot Transfer Learning for Intelligent Fault Diagnosis of Machine

Python 109 28 Updated Jul 13, 2020

A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch

Python 1,965 256 Updated Jul 17, 2023

A pytorch implementation of "Domain-Adaptive Few-Shot Learning"

Python 136 26 Updated Jul 21, 2020

A collection of AWESOME things about domian adaptation

5,033 867 Updated Aug 20, 2024

A simple and extensible library to create Bayesian Neural Network layers on PyTorch.

Python 920 106 Updated Sep 25, 2023

Adaptive Experimentation Platform

Python 2,340 303 Updated Sep 9, 2024

Build a LSTM encoder-decoder using PyTorch to make sequence-to-sequence prediction for time series data

Python 378 84 Updated Jun 4, 2021

This repository contains the codes/scripts for different kinds of processing tasks that I have encountered.

Python 2 1 Updated Jan 10, 2019

Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks.

Python 2,699 698 Updated Sep 8, 2024

Time series forecasting for individual household power prediction: ARIMA, xgboost, RNN

Python 633 216 Updated Oct 2, 2019

Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman filter, Unscented Kalman filter, g-h (alpha-beta), least squares, H Infinity, smoo…

Python 3,279 616 Updated Feb 7, 2024

A collection of various deep learning architectures, models, and tips

Jupyter Notebook 1 Updated Sep 6, 2019

A collection of various deep learning architectures, models, and tips

Jupyter Notebook 16,569 3,978 Updated Feb 8, 2024

📖The Big-&-Extending-Repository-of-Transformers: Pretrained PyTorch models for Google's BERT, OpenAI GPT & GPT-2, Google/CMU Transformer-XL.

Jupyter Notebook 1 Updated Apr 21, 2019

Implementation of State-of-the-art Text Classification Models in Pytorch

Python 1 Updated Jan 5, 2019

Implementation of State-of-the-art Text Classification Models in Pytorch

Python 484 136 Updated Jan 5, 2019

A PyTorch implementation of the Transformer model in "Attention is All You Need".

Python 8,724 1,967 Updated Apr 16, 2024

a simple vae and cvae from keras

Python 1,245 377 Updated May 18, 2021