lyzl2010 Goto Github PK

dga

Code for the 2012 IEEE Transactions on Power Delivery paper on "Statistical Machine Learning and Dissolved Gas Analysis: A Review"

dipcasegment

To segment a multivariate time series using the DiPCA algorithm.

dl-based-intelligent-diagnosis-benchmark

Source codes for the paper "Deep Learning Algorithms for Rotating Machinery Intelligent Diagnosis: An Open Source Benchmark Study"

dlinear

This is an official implementation for "Are Transformers Effective for Time Series Forecasting?"

dlvm_for_process_monitoring

Source code of the paper "Deep Learning of Latent Variable Models for Industrial Process Monitoring".

dog-breed-classifier

An example of using CNNs and Transfer Learning to classify the breed of a dog

domain-adaptation-toolbox

Wrappers and implementations of several domain adaptation / transfer learning / semi-supervised learning algorithms

dqn-tensorflow

Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning

dr-net

eeg-transformer

i. A practical application of Transformer (ViT) on 2-D physiological signal (EEG) classification tasks. Also could be tried with EMG, EOG, ECG, etc. ii. Including the attention of spatial dimension (channel attention) and *temporal dimension*. iii. Common spatial pattern (CSP), an efficient feature enhancement method, realized with Python.

energydata_analysis_toolkit

ensemble_outlier_sample_detection

Ensemble Outlier Sample Detection

ensemblelearning_trafficflow

etna

ETNA – Time-Series Library

fault-detection-and-diagnosis

Fault Detection and Diagnosis in Air Handling Unit with using Dymola Data

fault-detection-using-deep-learning-classification

This demo shows how to prepare, model, and deploy a deep learning LSTM based classification algorithm to identify the condition or output of a mechanical air compressor.

fault_diagnosis_machine_learning

fcanet

FcaNet: Frequency Channel Attention Networks

few-shot-learning-for-fault-diagnosis

This repository is for the Few-shot Learning for the fault diagnosis of large industrial equipment.

few-shot-ssl-public

Meta Learning for Semi-Supervised Few-Shot Classification

fgpaa

Fault-Attention Generative Probabilistic Adversarial Autoencoder for Machine Anomaly Detection

fitlog

fitlog是一款在深度学习训练中用于辅助用户记录日志和管理代码的工具

flight-delays

Transfer learning for flight-delay prediction via variational autoencoders in Keras

flow-forecast

Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

fsl-global

Few-Shot Learning with Global Class Representations

gaussian-processes-regression-tutorial

An Intuitive Tutorial to Gaussian Processes Regression

gbrt-for-tsf

gcn-gan-pytorch

A pytorch implemention of GCN-GAN for temporal link prediction.

gdn

Implementation code for the paper "Graph Neural Network-Based Anomaly Detection in Multivariate Time Series" (AAAI 2021)

generalization-causality

关于domain generalization，domain adaptation，causality，robutness，prompt，optimization，generative model各式各样研究的阅读笔记