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Lieon's Projects

h5player icon h5player

网页播放器增强脚本,支持:播放进度记录、播放倍率记录、快进快退、倍速播放、画面缩放等

halfrost-field icon halfrost-field

✍🏻 这里是写博客的地方 —— Halfrost-Field 冰霜之地

halo icon halo

✍ An excellent open source blog publishing application. | 一个优秀的开源博客发布应用。

hub icon hub

A library for transfer learning by reusing parts of TensorFlow models.

informer2020 icon informer2020

The GitHub repository for the paper "Informer" accepted by AAAI 2021.

linkedin-skill-assessments-quizzes icon linkedin-skill-assessments-quizzes

Full reference of LinkedIn answers 2022 for skill assessments (aws-lambda, rest-api, javascript, react, git, html, jquery, mongodb, java, Go, python, machine-learning, power-point) linkedin excel test lösungen, linkedin machine learning test LinkedIn test questions and answers

lstm-fcn icon lstm-fcn

Codebase for the paper LSTM Fully Convolutional Networks for Time Series Classification

lstm-human-activity-recognition icon lstm-human-activity-recognition

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

luci icon luci

LuCI - OpenWrt Configuration Interface

machine-learning icon machine-learning

:zap:机器学习实战(Python3):kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归

mad-gan_synthetic icon mad-gan_synthetic

Code for the Non-Parametric Density Estimation experiments done in the paper "Multi-Agent Diverse Generative Adversarial Networks"

merlion icon merlion

Merlion: A Machine Learning Framework for Time Series Intelligence

microservices-platform icon microservices-platform

基于SpringBoot2.x、SpringCloud和SpringCloudAlibaba并采用前后端分离的企业级微服务多租户系统架构。并引入组件化的**实现高内聚低耦合,项目代码简洁注释丰富上手容易,适合学习和企业中使用。真正实现了基于RBAC、jwt和oauth2的无状态统一权限认证的解决方案,面向互联网设计同时适合B端和C端用户,支持CI/CD多环境部署,并提供应用管理方便第三方系统接入;同时还集合各种微服务治理功能和监控功能。模块包括:企业级的认证系统、开发平台、应用监控、慢sql监控、统一日志、单点登录、Redis分布式高速缓存、配置中心、分布式任务调度、接口文档、代码生成等等。

mlstm-fcn icon mlstm-fcn

Multivariate LSTM Fully Convolutional Networks for Time Series Classification

mnad icon mnad

An official implementation of "Learning Memory-guided Normality for Anomaly Detection" (CVPR 2020) in PyTorch.

mtad-gat-pytorch icon 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).

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