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anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

anomalydetection

Anomaly Detection with R

anomalydetector

SR-CNN

awesome-aiops

AIOps学习资料汇总，欢迎一起补全这个仓库，欢迎star

awesome-noah

:octocat: AI圈Noah plan-AI数据竞赛Top可复现解决方案(Awesome Top Solution List of Excellent AI Competitions)

bnmtf_ard

Python code for "Comparative Study of Inference Methods for Bayesian Nonnegative Matrix Factorisation", published at European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2017).

boruta_py

Python implementations of the Boruta all-relevant feature selection method.

categorical-encoding

A library of sklearn compatible categorical variable encoders

deepadots

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

deepgbm

Implementation for the paper "DeepGBM: A Deep Learning Framework Distilled by GBDT for Online Prediction Tasks", which has been accepted by KDD'2019.

deeplearning-models

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

donut

Donut is an anomaly detection algorithm for seasonal KPIs.

drgp-vss

gitskills

imv_lstm

Pytorch implementation of "Exploring Interpretable LSTM Neural Networks over Multi-Variable Data" https://arxiv.org/pdf/1905.12034.pdf

kaggle-ensemble-guide

Code for the Kaggle Ensembling Guide Article on MLWave

kaggle-start-5

Kaggle最近比赛记录

kaggle_competition_treasure

Describe past Kaggle solutions

kdd_cup_2018

KDD CUP 2018

keras-attention-mechanism

Attention mechanism Implementation for Keras.

keras-gp

Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.

kinoko

python package for Japanese NLP and many other utils

learngit

learngit

learngit-1

教程→ http://t.cn/zQ6LFwE 推送请使用UTF-8编码

learningspark

学习spark写的scala代码，工具使用的是IDEA2017.1.6,欢迎star

leetcodeanimation

Demonstrate all the questions on LeetCode in the form of animation.（用动画的形式呈现解LeetCode题目的思路）

lstnet

lstnet_keras

Keras version of LSTNet

machine-learning-deployment-tutorials

Sample end to end projects from data collection to putting models into production