hustcxl

awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems.

datasets

🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools

lihang-code

《统计学习方法》的代码实现

CVPR2024-Papers-with-Code

CVPR 2024 论文和开源项目合集

howto-make-more-money

程序员如何优雅的挣零花钱，2.0版，升级为小书了。Most of this not work outside China , so no English translate

GNNPapers

Must-read papers on graph neural networks (GNN)

CodeGuide

:books: 本代码库是作者小傅哥多年从事一线互联网 Java 开发的学习历程技术汇总，旨在为大家提供一个清晰详细的学习教程，侧重点更倾向编写Java核心内容。如果本仓库能为您提供帮助，请给予支持(关注、点赞、分享)！

Awesome-Profile-README-templates

A collection of awesome readme templates to display on your profile

cortex

Production infrastructure for machine learning at scale

PyQt

PyQt Examples（PyQt各种测试和例子） PyQt4 PyQt5

tpu

Reference models and tools for Cloud TPUs.

Deep-learning-books

Books for machine learning, deep learning, math, NLP, CV, RL, etc

COMTool

Cross platform communicate assistant(Serial/network/terminal tool)（ 跨平台 串口调试助手 网络调试助手 终端工具 linux windows mac Raspberry Pi ）支持插件和二次开发

DL-based-Intelligent-Diagnosis-Benchmark

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

UDTL

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

books

数学教程-高等数学、概率论与数理统计、线性代数

SpCL

[NeurIPS-2020] Self-paced Contrastive Learning with Hybrid Memory for Domain Adaptive Object Re-ID.

pyModbusTCP

A simple Modbus/TCP library for Python

uModbus

Python implementation of the Modbus protocol.

ML

regnet

Pytorch implementation of network design paradigm described in the paper "Designing Network Design Spaces"

bearing_detection_by_conv1d

[深度应用]·DC竞赛轴承故障检测开源Baseline（基于Keras1D卷积 val_acc:0.99780）

dmLabx.github.io

Basic-Rotating-Machine-Vibration-Analysis

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

ewtpy

Empirical wavelet transform (EWT) in Python

Image_Classification_with_5_methods

Compared performance of KNN, SVM, BPNN, CNN, Transfer Learning (retrain on Inception v3) on image classification problem. CNN is implemented with TensorFlow

PyQt-Qwt

Python PyQt wrapper for Qwt6

regnet

Not Totally Accurate [RegNet: Multimodal Sensor Registration Using Deep Neural Networks] PyTorch Implementation

TET-GLGD

Second-Order Transient-Extracting Transform with Application to Time-Frequency Filtering

Clustering-based-Population-in-Binary-GSA