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adaespgl

Source codes for paper "Enhanced sparse period-group lasso for bearing fault diagnosis"

adarnn-bit

双向输入

annotated_deep_learning_paper_implementations

🧑‍🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

awesome-vision-attentions

Summary of related papers on visual attention. Related code will be released based on Jittor gradually.

basic-rotating-machine-vibration-analysis

These codes realize data transformation and simple data processing for fault diagnosis.

bearing

bearingfaultdiagnosis

Project about bearing fault diagnosis using transfer learning.

cnn-bilstm-attention-time-series-prediction_keras

CNN+BiLSTM+Attention Multivariate Time Series Prediction implemented by Keras

crosstres

Repo for CrossTReS: Cross-city Transfer Learning for Traffic Prediction via Source Region Selection

dagcn

This code is about the implementation of Domain Adversarial Graph Convolutional Network for Fault Diagnosis Under Variable Working Conditions.

dcrnn

Implementation of Diffusion Convolutional Recurrent Neural Network in Tensorflow

dcrnn_pytorch

Diffusion Convolutional Recurrent Neural Network Implementation in PyTorch

deep-transfer-learning

A collection of implementations of deep domain adaptation algorithms

deepgnn

DeepGNN is a framework for training machine learning models on large scale graph data.

degradationmodel

dl-based-intelligent-diagnosis-benchmark

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

external-attention-pytorch

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

gcn_predict-pytorch

Traffic flow predict. Implementation of graph convolutional network with PyTorch

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

hhlp-for-weak-fault-feature-enhancement

Source codes for paper "Hierarchical hyper-Laplacian prior for weak fault feature enhancement"

hnu-idg-fd-code

The intelligent fault diagnosis methods of HNU IDG

keras-attention-mechanism

the extension of https://github.com/philipperemy/keras-attention-mechanism , create a new scipt to add attetion to input dimensions rather than timesteps in the origin project。

libsvm

lsof

Local structure outlier factor

mechanical-datasets

medium_notebook

Repository containing notebooks of my posts on Medium

meta-transfer-learning

Models to warm-start student pass/fail performance prediction trained using meta-transfer learning on 26 courses, 100k students, and millions of interactions. Published at L@S 2022.

multi-gcgru

The code and datasets of "Multi-Graph Convolutional Network for Relationship-Driven Stock Movement Prediction"

multidimensional-time-series-prediction-

Multidimensional Time Series Prediction by using LSTM

phm-ieee-2012-data-challenge-dataset

Dataset that was used during the PHM IEEE 2012 Data Challenge, built by the FEMTO-ST Institute