Hooddi

Di Hu's repositories

awesome-industrial-anomaly-detection

Paper list and datasets for industrial image anomaly detection.

100

Copulas

A library to model multivariate data using copulas.

Language:PythonMIT100

FCM-DAGMM

condition monitoring and anomaly detection of a wind turbine pitch system using fuzzy C-means (FCM) and a deep autoencoding Gaussian mixture model (DAGMM)

Language:PythonMIT1 10

machinelearning

My blogs and code for machine learning. http://cnblogs.com/pinard

Language:Jupyter NotebookMIT100

anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

Language:PythonAGPL-3.0010

awesome-anomaly-detection

A curated list of awesome anomaly detection resources

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awesome-TS-anomaly-detection

List of tools & datasets for anomaly detection on time-series data.

000

bocd

Bayesian Changepoint Detection

Language:Jupyter NotebookMIT000

chatgpt_academic

科研工作专用ChatGPT拓展，特别优化学术Paper润色体验，支持自定义快捷按钮，支持markdown表格显示，Tex公式双显示，代码显示功能完善，新增本地Python工程剖析功能/自我剖析功能

Language:PythonGPL-3.0000

DCC

This repository contains the source code and data for reproducing results of Deep Continuous Clustering paper

Language:PythonMIT000

Deep-Generative-Models

VAE, GAN, WGAN, WGAN-GP on two synthetic Gaussian datasets.

Language:Jupyter Notebook000

DeepClustering

Methods and Implements of Deep Clustering

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InterpretableMLBook

《可解释的机器学习--黑盒模型可解释性理解指南》，该书为《Interpretable Machine Learning》中文版

GPL-3.0000

Kalman-and-Bayesian-Filters-in-Python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

Language:Jupyter NotebookNOASSERTION000