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ad_examples

A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.

adversarially-learned-anomaly-detection

ALAD (Proceedings of IEEE ICDM 2018) official code

ai-practice-tensorflow-notes

人工智能实践：Tensorflow笔记

alphax-nasbench101

Neural Architecture Search with Deep Neural Network and Monte Carlo Tree Search

anfis

Python implementation of an Adaptive neuro fuzzy inference system

anomaly-detection

Anomaly detection algorithm implementation in Python

anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

anomaly_detection_tuto

Anomaly detection tutorial on univariate time series with an auto-encoder

anomalydetection

Anomaly detection in different computing systems (not limited to ATLAS)

awesome-aiops

AIOps学习资料汇总，欢迎一起补全这个仓库，欢迎star

awesome-ts-anomaly-detection

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

benchmark

blog-code-snippets

Code snippets used in tutorials on my blog.

building-transformer-models-with-pytorch

Building Transformer Models with PyTorch, by BPB Publications

coursera-ml-andrewng-notes

吴恩达老师的机器学习课程个人笔记

covid-19

Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE

cs231n.github.io

Public facing notes page

dagmm

DAGMM Tensorflow implementation

deep-learning

:computer:Tensorflow实战：实战教程、手写数字识别、Discuz验证码识别

deep-learning-1

Repo for the Deep Learning Nanodegree Foundations program.

deep-learning-for-time-series-forecasting

This repository is designed to teach you, step-by-step, how to develop deep learning methods for time series forecasting with concrete and executable examples in Python.

deep-learning-in-python

Hands-on, practical knowledge of how to use neural networks and deep learning with Keras 2.0

deep-learning-papers-reading-roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

deep-learning-time-series-forecasting

deep-learning-with-pytorch

Deep Learning with PyTorch, published by Packt

deep-learning-with-pytorch-quick-start-guide

Deep Learning with PyTorch Quick Start Guide, published by Packt

deep-svdd

Repository for the Deep One-Class Classification ICML 2018 paper

deepadots

Repository of the paper "A Systematic Evaluation of Deep Anomaly Detection Methods for Time Series".

deepchaos

Experiments for the paper "Exponential expressivity in deep neural networks through transient chaos"

deeplearning-models

A collection of various deep learning architectures, models, and tips