zjq-learn

zjq-learn's Stars

• CHAOZHAO-1/MSDGN

  [MSSP 2023] Mutual-assistance semisupervised domain generalization network for intelligent fault diagnosis under unseen working conditions

  Language:Python7

• CHAOZHAO-1/DG-PHM

  This is a reposotory that includes paper、code and datasets about domain generalization-based fault diagnosis and prognosis. (基于领域泛化的故障诊断和预测，持续更新)

  17124

• CHAOZHAO-1/HUSTbearing-dataset

  This reposotory release a bearing failure dataset, which can support intelliegnt fault diagnosis research（实验室自采轴承开源数据集，包含稳定转速和时变转速）

  283

• HouLeiHIT/HIT-dataset

  This is a dataset of inter-shaft bearing based on the vibration signal of rotors and casings, which comes from a aero-engine test with inter-shaft bearing fault. Due to the large size of the data set file, we uploaded the dataset to Google Drive with the link as: https://drive.google.com/drive/folders/1Km1Go4ilB_bI033SBJ7eJ0uCzbqEqbgt?usp=sharing

  636

• haeusser/learning_by_association

  This repository contains code for the paper Learning by Association - A versatile semi-supervised training method for neural networks (CVPR 2017) and the follow-up work Associative Domain Adaptation (ICCV 2017).

  Language:Jupyter Notebook15063

• thuml/Transfer-Learning-Library

  Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization

  Language:Python3.4k553

• thuml/MDD

  Code released for ICML 2019 paper "Bridging Theory and Algorithm for Domain Adaptation".

  Language:Python13027

• Attila94/CEConv

  Official repository for Color Equivariant Convolutional Networks.

  Language:Python6

• Anduin2017/HowToCook

  程序员在家做饭方法指南。Programmer's guide about how to cook at home (Simplified Chinese only).

  Language:Dockerfile66.9k8.7k

• f/awesome-chatgpt-prompts

  This repo includes ChatGPT prompt curation to use ChatGPT better.

  Language:HTML112k15.2k

• TommyZihao/Train_Custom_Dataset

  标注自己的数据集，训练、评估、测试、部署自己的人工智能算法

  Language:Jupyter Notebook3.1k646

• zhaoxin94/awesome-domain-adaptation

  A collection of AWESOME things about domian adaptation

  5.1k867

• liguge/Journals-of-Prognostics-and-Health-Management

  智能故障诊断和寿命预测期刊（Journals of Intelligent Fault Diagnosis and Remaining Useful Life）

  26937

• domainadaptation/salad

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

  Language:HTML33342

• artix41/awesome-transfer-learning

  Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)

  1.7k301

• stes/torch-associative

  Associative Domain Adaptation in PyTorch

  Language:Python39

• thuml/Universal-Domain-Adaptation

  Code release for Universal Domain Adaptation(CVPR 2019)

  Language:Python27452

• unpingco/Python-for-Signal-Processing

  Notebooks for "Python for Signal Processing" book

  Language:Jupyter Notebook1.7k640

• hustcxl/SP_Lib

  Signal processing method and algorithm library

  22859

• hustcxl/Rotating-machine-fault-data-set

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

  908281

• ZhaoZhibin/DL-based-Intelligent-Diagnosis-Benchmark

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

  Language:Python616168

• liguge/GTFENet_pytorch

  GTFE-Net: A Gramian Time Frequency Enhancement CNN for bearing fault diagnosis

  Language:Python276

• ShaneSpace/carrot

  Free ChatGPT Site List 这儿为你准备了众多免费好用的ChatGPT镜像站点

  4

• ShaneSpace/MyResearchWorksPublic

  Language:Python4513

• haolingguang/tensorflow-to-pytorch

  Convert tensorflow's pre-training models to pytorch's

  Language:Python3

• ZhaoZhibin/UDTL

  Source codes for the paper "Applications of Unsupervised Deep Transfer Learning to Intelligent Fault Diagnosis: A Survey and Comparative Study" published in TIM

  Language:Python409104

• sp-uhh/storm

  StoRM: A Diffusion-based Stochastic Regeneration Model for Speech Enhancement and Dereverberation

  Language:Python17423

• Navidfoumani/ConvTran

  This is a PyTorch implementation of ConvTran

  Language:Python1258

• TxgStars/wdcnn

  实现的是WDCNN的pytorch版本代码，对应论文的第三章 data包含了四个数据文件夹，这里只使用了0HP文件夹中的数据，里面包含了正常、内圈、外圈、滚动体共10种状态 preprocess.py的功能是对数据进行采样、编码，虽然划分出来了验证集但是并没有使用 train.py定义了用于模型训练以及显示的函数和类 main.py定义了网络模型，调用另外两个py文件获取数据和进行训练 直接运行main.py文件即可得到的结果

  Language:Python212

• labmlai/annotated_deep_learning_paper_implementations

  🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

  Language:Python55k5.7k