wxxsteacy

wxxsteacy's Stars

• ageron/handson-ml2

  A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

  Language:Jupyter Notebook28k65551112.8k

• coder2gwy/coder2gwy

  互联网首份程序员考公指南，由3位已经进入体制内的前大厂程序员联合献上。

  26.7k3751533.7k

• wangzheng0822/algo

  数据结构和算法必知必会的50个代码实现

  Language:Python22.9k8321257.1k

• yzhao062/pyod

  A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques

  Language:Python8.6k1453361.4k

• skyline75489/what-happens-when-zh_CN

  What-happens-when 的中文翻译，原仓库 https://github.com/alex/what-happens-when

  8k22311807

• ccfddl/ccf-deadlines

  ⏰ Collaboratively track deadlines of conferences recommended by CCF (Website, Python Cli, Wechat Applet) / If you find it useful, please star this project, thanks~

  Language:Vue6.4k2283443

• NotFound9/interviewGuide

  推荐免费ChatGPT网站：https://www.lintcode.com/chat-gpt?utm_source=tf-github-NotFound 点此领取7天VIP会员：https://www.lintcode.com/vip/activity/z1qgMH 《大厂面试指北》——包括Java基础、JVM、数据库、mysql、redis、计算机网络、算法、数据结构、操作系统、设计模式、系统设计、框架原理。

  Language:Java3.9k8815684

• Smilexuhc/Data-Competition-TopSolution

  Data competition Top Solution 数据竞赛top解决方案开源整理

  3.4k1573902

• datamllab/tods

  TODS: An Automated Time-series Outlier Detection System

  Language:Python1.5k2989193

• nickbnf/glogg

  A fast, advanced log explorer.

  Language:C++1.2k67233370

• hustcxl/Rotating-machine-fault-data-set

  Open rotating mechanical fault datasets (开源旋转机械故障数据集整理)

  928256283

• the-black-knight-01/Data-Science-Competitions

  Goal of this repo is to provide the solutions of all Data Science Competitions(Kaggle, Data Hack, Machine Hack, Driven Data etc...).

  801540216

• Stream-AD/MIDAS

  Anomaly Detection on Dynamic (time-evolving) Graphs in Real-time and Streaming manner. Detecting intrusions (DoS and DDoS attacks), frauds, fake rating anomalies.

  Language:C++762301893

• d-ailin/GDN

  Implementation code for the paper "Graph Neural Network-Based Anomaly Detection in Multivariate Time Series" (AAAI 2021)

  Language:Python4855102142

• yzhao062/SUOD

  (MLSys' 21) An Acceleration System for Large-scare Unsupervised Heterogeneous Outlier Detection (Anomaly Detection)

  Language:Python380171349

• ML4ITS/mtad-gat-pytorch

  PyTorch implementation of MTAD-GAT (Multivariate Time-Series Anomaly Detection via Graph Attention Networks) by Zhao et. al (2020, https://arxiv.org/abs/2009.02040).

  Language:Python33883578

• Albertsr/Anomaly-Detection

  UnSupervised and Semi-Supervise Anomaly Detection / IsolationForest / KernelPCA Detection / ADOA / etc.

  Language:Python2899688

• inspire-group/SSD

  SSD: A Unified Framework for Self-Supervised Outlier Detection [ICLR 2021]

  Language:Python1344927

• stfbnc/fathon

  python package for DFA (Detrended Fluctuation Analysis) and related algorithms

  Language:Cython12041422

• SchindlerLiang/VAE-for-Anomaly-Detection

  MLP_VAE, Anomaly Detection, LSTM_VAE, Multivariate Time-Series Anomaly Detection, IndRNN_VAE, Tensorflow

  Language:Python1193128

• SY575/DF-Early-warning-of-the-wind-power-system

  Language:Python10041239

• mangushev/mtad-gat

  Implementation of MTAD-GAT: Multivariate Time-series Anomaly Detection via Graph Attention Network

  Language:Python8911026

• winstonll/COPOD

  Supplementary material for ICDM 20 paper "COPOD: Copula-Based Outlier Detection"

  Language:Python584310

• zhbink/2017-IndustryBigData

  2017工业大数据 风机叶片预测

  Language:Jupyter Notebook520414

• hongyingyue/Competition-solutions

  A collection of data competition solutions | 数据竞赛方案合集

  483010

• tufts-ml/GAN-Ensemble-for-Anomaly-Detection

  This repository is the PyTorch implementation of GAN Ensemble for Anomaly Detection.

  Language:Python39518

• paya54/Anomaly_Detect_LSTM_VAE

  Keras implementation of LSTM-VAE model for anomaly detection

  Language:Python35138

• LogicJake/tianchi_nlp

  天池零基础入门NLP - 新闻文本分类

  Language:Jupyter Notebook19315

• AmangAris/Abnormal-data-identification-and-cleaning-of-wind-turbine

  Language:Jupyter Notebook15115

• mangushev/EVT_POT

  Extreme Value Theory EVT Peak-Over-Threshold POT method implementation using maximum likelihood approach with Tensorflow . Use this to calculate anomaly thresholds

  Language:Python6100