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程序员在家做饭方法指南。Programmer's guide about how to cook at home (Simplified Chinese only).
This repository contains the solutions and explanations to the algorithm problems on LeetCode. Only medium or above are included. All are written in C++/Python and implemented by myself. The proble…
AIFT2019-Real-time fabric defect segmentation based on convolutional neural network
Python code for Fake Nodes interpolation approach.
pyShearLab is a Python toolbox which is based on ShearLab3D written by Rafael Reisenhofer and has been ported to Python by Stefan Loock.
PyTorch implementation of MTAD-GAT (Multivariate Time-Series Anomaly Detection via Graph Attention Networks) by Zhao et. al (2020, https://arxiv.org/abs/2009.02040).
A curated list of awesome anomaly detection resources
Detection and Segmentation of Manufacturing Defects with Convolutional Neural Networks and Transfer Learning
Zhejiang University Graduation Thesis LaTeX Template
L2Cache 是一个基于 Caffeine + Redis 的二级缓存框架。让缓存的使用在业务开发中更加简单、高效。
AutoLoadCache 是基于AOP+Annotation等技术实现的高效的缓存管理解决方案，实现缓存与业务逻辑的解耦，并增加异步刷新及“拿来主义机制”，以适应高并发环境下的使用。
A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques
OpenMMLab Detection Toolbox and Benchmark
Anomaly detection related books, papers, videos, and toolboxes
📈 目前最大的工业缺陷检测数据库及论文集 Constantly summarizing open source dataset and critical papers in the field of surface defect research which are of great importance.
List of awesome papers about time series, mainly including algorithms based on machine learning | 收录时间序列分析中各个研究领域的高水平文章，主要包含基于机器学习的算法
DEPRECATED, now in sktime - companion package for deep learning based on TensorFlow
A unified framework for machine learning with time series
刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.
阿布量化交易系统(股票，期权，期货，比特币，机器学习) 基于python的开源量化交易，量化投资架构
Build your neural network easy and fast, 莫烦Python中文教学
👨🎓 Java Core Sprout : basic, concurrent, algorithm