hgh2017 Goto Github PK

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.

aiops-handbook

Collection of slides, repositories, papers about AIOps

anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

autosmart

awesome-aiops

AIOps学习资料汇总，欢迎一起补全这个仓库，欢迎star

awesome-automl-and-lightweight-models

A list of high-quality (newest) AutoML works and lightweight models including 1.) Neural Architecture Search, 2.) Lightweight Structures, 3.) Model Compression & Acceleration, 4.) Hyperparameter Optimization, 5.) Automated Feature Engineering.

awesome-system-for-machine-learning

A curated list of research in machine learning system. I also summarize some papers if I think they are really interesting.

buptnicementors

北邮研究生导师口碑榜

cheatsheets-ai

Essential Cheat Sheets for deep learning and machine learning researchers

checkstyle

Checkstyle is a development tool to help programmers write Java code that adheres to a coding standard. By default it supports the Google Java Style Guide and Sun Code Conventions, but is highly configurable. It can be invoked with an ANT task and a command line program.

cikm-cup-2017

create-an-empty-class

Java basic practice for beginners.

cs224n

CS224n: Natural Language Processing with Deep Learning Assignments Winter, 2017

cs230-code-examples

Code examples in pyTorch and Tensorflow for CS230

cs231n

cs231n assignments

cs231n.github.io

Public facing notes page

curve

An Integrated Experimental Platform for time series data anomaly detection.

ddia

《Designing Data-Intensive Application》DDIA中文翻译

deeplearningbook-chinese

Deep Learning Book Chinese Translation

flink

Apache Flink

flink-1

Flink code for TPC-DS competition，forked from Apache Flink，and cherry pick some new feature.

generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

helloworld

to familiar with GitHub

hgh_ml

this is the first time for me to use github, so i am excited and this project is about ML that i am learing.

ijcai17_tianchi_rank4

introduction_to_ml_with_python

Notebooks and code for the book "Introduction to Machine Learning with Python"

javaguide

【Java学习+面试指南】 一份涵盖大部分Java程序员所需要掌握的核心知识。

kaggle-web-traffic

1st place solution

kdd_cup_2018

KDD CUP 2018