Stars
this code library is mainly about applying graph neural networks to intelligent diagnostic and prognostic.
Open source simulation model for the induction machine with an inter-turn short circuit fault
The program simulate fault bearing signal for CNN-designated classification task.
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
This repo provides source code for cross-domain machine fault diagnosis using an unsupervised domain adaptation approach (Feature Representation Alignment Networks).
Few-shot Transfer Learning for Intelligent Fault Diagnosis of Machine
A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch
A pytorch implementation of "Domain-Adaptive Few-Shot Learning"
A collection of AWESOME things about domian adaptation
A simple and extensible library to create Bayesian Neural Network layers on PyTorch.
Build a LSTM encoder-decoder using PyTorch to make sequence-to-sequence prediction for time series data
This repository contains the codes/scripts for different kinds of processing tasks that I have encountered.
Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks.
Time series forecasting for individual household power prediction: ARIMA, xgboost, RNN
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…
A collection of various deep learning architectures, models, and tips
A collection of various deep learning architectures, models, and tips
📖The Big-&-Extending-Repository-of-Transformers: Pretrained PyTorch models for Google's BERT, OpenAI GPT & GPT-2, Google/CMU Transformer-XL.
Suxuanyuan / Text-Classification-Models-Pytorch
Forked from AnubhavGupta3377/Text-Classification-Models-PytorchImplementation of State-of-the-art Text Classification Models in Pytorch
Implementation of State-of-the-art Text Classification Models in Pytorch
A PyTorch implementation of the Transformer model in "Attention is All You Need".