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aiops-handbook

Collection of slides, repositories, papers about AIOps

anomalydetecttool

A tool of detecting anomaly points from data

awesome-ts-anomaly-detection

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

bigdata18

Transfer learning for time series classification

cityhash

Python-bindings for CityHash (http://code.google.com/p/cityhash/)

code_templates

curvature-learning-framework

Curvlearn, a Tensorflow based non-Euclidean deep learning framework.

deeplearning

深度学习相关的模型训练、评估和预测相关代码

docs

TensorFlow documentation

egads

A Java package to automatically detect anomalies in large scale time-series data

euler

A distributed graph deep learning framework.

jupyter_contrib_nbextensions

A collection of various notebook extensions for Jupyter

k-nearest-neighbors-with-dynamic-time-warping

Python implementation of KNN and DTW classification algorithm

knowledgegraphcourse

东南大学《知识图谱》研究生课程

metis

Metis is a learnware platform in the field of AIOps.

minisom

:red_circle: MiniSom is a minimalistic implementation of the Self Organizing Maps

nab

The Numenta Anomaly Benchmark

nnpulearning

Non-negative Positive-Unlabeled (nnPU) and unbiased Positive-Unlabeled (uPU) learning reproductive code on MNIST and CIFAR10

papernote

recommender-system-with-tf2.0

Recurrence the recommender paper with Tensorflow2.0

shoelace

Neural Learning to Rank using Chainer

tensor2tensor

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

tsfresh

Automatic extraction of relevant features from time series: