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-pytorch-

【PyTorch】手把手教你跑通第一个神经网络

ai-learn

人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理，PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域

ailearning

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

amp-regularizer

Code for our paper "Regularizing Neural Networks via Adversarial Model Perturbation", CVPR2021

awesome-domain-generalization

A collection of awesome things about domain generalization, including papers, code, etc.

bearing-fault-diagnosis-using-transfer-learning

blind-deconvolution-based-on-the-ratio-of-cyclic-content

This is the Matlab code of the blind deconvolution based on the ratio of cyclic content (BD-RCC). BD-RCC can be used to recover repetitive impacts signal in noisy vibration.

cnn-for-bearing-fault-diagnosis

CNN applied to bearing signals for analysis

csdn-code-link

由于CSDN博客里面不能直接上代码链接，涉嫌营销推广，因此建一个github仓库用于整理这些代码链接

dagcn

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

dl-based-intelligent-diagnosis-benchmark

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

evision

计算机视觉实践和探索/Practice and explorations in computer vision.

fastcsdl

a fast convolutional sparse dictionary learning algorithm, It can be applied to long one-dimensional signal processing. It doesn't need to divide long data into small segments to speed up the algorithm. It has low memory consumption and high computational efficiency.

google-research

Google Research

hands-on-transfer-learning-with-python

Hands On Transfer Learning with Python, published by Packt

informer2020

The GitHub repository for the paper "Informer" accepted by AAAI 2021.

insulatordataset

Provide normal insulator images captured by UAVs and synthetic defective insulator images.

machine-learning

:zap:机器学习实战（Python3）：kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归

maml-pytorch

Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)

mdan

Demo code for the MDAN paper.

mini-blp-lplq

The Matlab code of blind deconvolution based on criterion defined by envelope spectrum

opencv

Open Source Computer Vision Library

replknet-pytorch

Scaling Up Your Kernels to 31x31: Revisiting Large Kernel Design in CNNs (CVPR 2022)

rollingelementbearingfaultdiagnosis-data

Data set for Rolling Element Bearing Fault Diagnosis example in Predictive Maintenance Toolbox

rotating-machine-fault-data-set

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

sf-slsn

Sparse Filtering with Single Layer and Single Node

statistical-learning-methods-lihang

transdim

Machine learning for transportation data imputation and prediction.

transfer-learning-for-fault-diagnosis

This repository is for the transfer learning or domain adaptive with fault diagnosis.

transfer-learning-library

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