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【PyTorch】手把手教你跑通第一个神经网络
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: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP
Code for our paper "Regularizing Neural Networks via Adversarial Model Perturbation", CVPR2021
A collection of awesome things about domain generalization, including papers, code, etc.
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 applied to bearing signals for analysis
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
This code is about the implementation of Domain Adversarial Graph Convolutional Network for Fault Diagnosis Under Variable Working Conditions.
Source codes for the paper "Deep Learning Algorithms for Rotating Machinery Intelligent Diagnosis: An Open Source Benchmark Study"
计算机视觉实践和探索/Practice and explorations in computer vision.
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
Hands On Transfer Learning with Python, published by Packt
The GitHub repository for the paper "Informer" accepted by AAAI 2021.
Provide normal insulator images captured by UAVs and synthetic defective insulator images.
: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
Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)
Demo code for the MDAN paper.
The Matlab code of blind deconvolution based on criterion defined by envelope spectrum
Open Source Computer Vision Library
Scaling Up Your Kernels to 31x31: Revisiting Large Kernel Design in CNNs (CVPR 2022)
Data set for Rolling Element Bearing Fault Diagnosis example in Predictive Maintenance Toolbox
Open rotating mechanical fault datasets (开源旋转机械故障数据集整理)
Sparse Filtering with Single Layer and Single Node
Machine learning for transportation data imputation and prediction.
This repository is for the transfer learning or domain adaptive with fault diagnosis.
Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.