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awesome-log-analysis

A list of awesome research on log analysis, anomaly detection, fault localization, and AIOps

clean-energy-consumption-prediction-model

Use modified Grey Prediction Model with Rolling Mechanism to predict accurately the clean energy consumption in states in US

corr_prediction_arima_lstm_hybrid

Applied an ARIMA-LSTM hybrid model to predict future price correlation coefficients of two assets

ddd-leaven-v2

DDD-CqRS sample v2.0 project that helps you with starting out advanced domain modeling using Spring, JPA and testing

drgs

eat-what

This is a android app for meal, it helps you to choose food by randomly.

eatwhat

吃神马是一个永恒的话题。让我们摇起来！

epon

fractionaldiff

Experiments with fractional differencing

fucking-algorithm

手把手撕LeetCode题目，扒各种算法套路的裤子。English version supported! Crack LeetCode, not only how, but also why.

fundingonline

IDEA-尚筹网-全套代码

ga-svm

使用libsvm和遗传算法优化支持向量机的cost和gamma参数

ga-svm-1

SVM using GA

ga_aco_opt_on_anfis_svm

Forecasting for Istanbul Stock Exchange with ANFIS and SVM based on Genetic and Ant Colony Algorithm for Parameter Optimization

hurst

Hurst exponent evaluation and R/S-analysis in Python

javafamily

【互联网一线大厂面试+学习指南】

jcip.github.com

Java Concurrency in Practice

kaggle

My solution to Web Traffic Predictions competition on Kaggle.

kaggle-web-traffic

1st place solution

layui

采用自身模块规范编写的前端 UI 框架，遵循原生 HTML/CSS/JS 的书写形式，极低门槛，拿来即用。

loglizer

A log analysis toolkit for automated anomaly detection [ISSRE'16]

logparser

A toolkit for automated log parsing [ICSE'19, TDSC'18, DSN'16]

logytics_ibm_log_analysis

Built an error prediction system using LSTM and integrated the model in Flask to make it a web application. Collected logs were trained using the model, and tested on the log data without error.

lrpon-simulator

A python long reach passive optical network simulator.

lssvm_prediction

Signal prediction by using LSSVM with PSO and PSR

lstm

lstm-1

Minimal, clean example of lstm neural network training in python, for learning purposes.

lstm-human-activity-recognition

Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN (Deep Learning algo). Classifying the type of movement amongst six activity categories - Guillaume Chevalier

my-site

springboot2.0开发的个人网站，集成了：个人首页，个人博客，个人作品

network_traffic_prediction