hooddi Goto Github PK

accumulations_python

python3使用中的日常积累

adversarially-learned-anomaly-detection

ALAD (Proceedings of IEEE ICDM 2018) official code

ailearning

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

anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

apache_flask_windows

awesome-anomaly-detection

A curated list of awesome anomaly detection resources

awesome-industrial-anomaly-detection

Paper list and datasets for industrial image anomaly detection.

awesome-ts-anomaly-detection

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

bigdl

BigDL: Distributed Deep Learning Library for Apache Spark

bocd

Bayesian Changepoint Detection

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

copulas

A library to model multivariate data using copulas.

coursera-ml-andrewng-notes

吴恩达老师的机器学习课程个人笔记

dbn_learning

利用深度RBM构建多分类模型

dcc

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

deep-generative-models

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

deepclustering

Methods and Implements of Deep Clustering

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)

gan-vis

Visualization of GAN training process

gp-structure-search

hooddi.github.io

my blog

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

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.

keras-drop-connect

Drop-connect wrapper

keras-io

Keras documentation, hosted live at keras.io

learn-python3

Learn Python 3 Sample Code

learning_notes

一些个人学习笔记

libpku

贵校课程资料民间整理

lihang-code

《统计学习方法》的代码实现

machine-learning-notes

My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (1000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(1000+页)和视频链接