suxuanyuan Goto Github PK

a-simulink-model-for-the-induction-machine-with-an-inter-turn-short-circuit-fault

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

annotated-transformer

http://nlp.seas.harvard.edu/2018/04/03/attention.html

attention-is-all-you-need-pytorch

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

attention-networks-for-classification

Hierarchical Attention Networks for Document Classification in PyTorch

awesome-domain-adaptation

A collection of AWESOME things about domian adaptation

ax

Adaptive Experimentation Platform

blitz-bayesian-deep-learning

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

ceemdan

for de-noising

cnn-for-paderborn-bearing-dataset

in Python

dapn

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

deeplearning-models

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

fault-bearing-signal-simulation

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

few-shot-transfer-learning

Few-shot Transfer Learning for Intelligent Fault Diagnosis of Machine

filterpy

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, smoothers, and more. Has companion book 'Kalman and Bayesian Filters in Python'.

fran

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

learn2learn

A PyTorch Library for Meta-learning Research

localmeandecomposition

局域均值分解的python实现

lstm_encoder_decoder

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

manuscript

Files of ASOC 107286

mechanical-datasets

mtan

The implementation of "End-to-End Multi-Task Learning with Attention" [CVPR 2019].

mtl

Unofficial implementation of: Multi-task learning using uncertainty to weigh losses for scene geometry and semantics

multiobjectiveoptimization

Source code for Neural Information Processing Systems (NeurIPS) 2018 paper "Multi-Task Learning as Multi-Objective Optimization"

pgmpy

Python Library for Inference (Causal and Probabilistic) and learning in Bayesian Networks

phmgnnbenchmark

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

pyemd

Python implementation of Empirical Mode Decompoisition (EMD) method

python-notebook

备份常见的python代码

pytorch-meta

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

pytorch-pretrained-bert

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

rotating-machine-fault-data-set

Open rotating mechanical fault datasets (开源旋转机械故障数据集整理)