floricaaa

ULDA

The official implement of paper "Unsupervised Few-Shot Learning via Distribution Shift-based Augmentation"

Robustness-Enhancement-of-Machine-Fault-Diagnostic-Models

pytorch-classification-uncertainty

This repo contains a PyTorch implementation of the paper: "Evidential Deep Learning to Quantify Classification Uncertainty"

MIXALL

Code release of paper 'Heterogeneous Domain Generalization via Domain Mixup'

Fault_diagnosis_ballbearing_wavelet

Bearing fault diagnosis is important in condition monitoring of any rotating machine. Early fault detection in machinery can save millions of dollars in emergency maintenance cost. Different techniques are used for fault analysis such as short time Fourier transforms (STFT), Wavelet analysis (WA), cepstrum analysis, Model based analysis, etc. we have doing detecting bearing faults using FFT and by using Wavelet analysis more specifically wavelet Analysis up to two levels of approximations and detail components. The analysis is carried out offline in MATLAB. Diagnosing the faults before in hand can save the millions of dollars of industry and can save the time as well. It has been found that Condition monitoring of rolling element bearings has enabled cost saving of over 50% as compared with the old traditional methods. The most common method of monitoring the condition of rolling element bearing is by using vibration signal analysis. Measure the vibrations of machine recorded by velocity

pyculiarity

A Python port of Twitter's AnomalyDetection R Package

DASHM

Domain Adaptation for Structural Health Monitoring

Basic-time-domain-and-frequency-domain-features-of-signals

UDTL

Source codes for the paper "Unsupervised Deep Transfer Learning for Intelligent Fault Diagnosis: An Open Source and Comparative Study"

ConvTransformerTimeSeries

Convolutional Transformer for time series

pyHarmonicRMS

Small development project for some frequency-based vibration analysis

salad

A toolbox for domain adaptation and semi-supervised learning. Contributions welcome.

Chinese-Text-Classification-Pytorch

中文文本分类，TextCNN，TextRNN，FastText，TextRCNN，BiLSTM_Attention，DPCNN，Transformer，基于pytorch，开箱即用。

AutoSF

Code for "Searching Scoring Functions for Knowledge Graph Embedding"

dimensionality_reduction_alo_codes

特征提取/数据降维:PCA、LDA、MDS、LLE、TSNE等降维算法的python实现

Superstatistics

Combinatorial Superstatistics for Soft QCD, Möbius Inversion, arXiv:1910.06279

SIF

Efficient Neural Interaction Functions Search for Collaborative Filtering

MSCRED

tensorflow implement the paper A Deep Neural Network for Unsupervised Anomaly Detection and Diagnosis in Multivariate Time Series Data

NLP-Project

including text classifier, language model, pre_trained model, multi_label classifier, text generator, dialogue. etc

ClickHouse

ClickHouse is a free analytics DBMS for big data

maml_rl

Code for RL experiments in "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

DeepGBM

Implementation for the paper "DeepGBM: A Deep Learning Framework Distilled by GBDT for Online Prediction Tasks", which has been accepted by KDD'2019.

SRGANs-Spectral-Regularization-GANs-

bearing-fault-detection

Improving on NASA's work with induction motor bearing fault detection using RNN-powered smart sensors.

deepbayes-2019

Practical assignments of the Deep|Bayes summer school 2019

prognostic_and_rul_prediction_of_bearing_data

One model for RUL and fault prognostic prediction on XJTU bearing dataset

Estimation-of-Remaining-Useful-Life-using-CNN

Convolutional Neural Network based regression approach for estimating machinery's remaining useful life

CoupletAI

基于CNN+Bi-LSTM+Attention 的自动对对联系统

BERT-BiLSTM-CRF-NER

Tensorflow solution of NER task Using BiLSTM-CRF model with Google BERT Fine-tuning And private Server services

attention-mechanisms

Implementations for a family of attention mechanisms, suitable for all kinds of natural language processing tasks and compatible with TensorFlow 2.0 and Keras.