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ZhuKunGuang's Projects

-chanlun icon -chanlun

缠论量化,人类历史上第一个数学上可以严格证明的技术分析策略,包含严格笔,线段作为最低级别,中枢的构成,级别的扩展,第一二三类买卖点,同级别分解的,背驰的判断,区间套,需要技术合作的加微信17866148858,支付一定咨询费可咨询

beego icon beego

beego is an open-source, high-performance web framework for the Go programming language.

deep_ocr icon deep_ocr

make a better chinese character recognition OCR than tesseract

fastai icon fastai

The fast.ai deep learning library, lessons, and tutorials

greenhouse icon greenhouse

Reference web application for Spring technologies and social destination for Spring developers.

introrl icon introrl

Intro to Reinforcement Learning (强化学习纲要)

leanote icon leanote

Not Just A Notepad! (golang + mongodb) http://leanote.org

leedeeprl-notes icon leedeeprl-notes

李宏毅《深度强化学习》笔记,在线阅读地址:https://datawhalechina.github.io/leedeeprl-notes/

mall-cook icon mall-cook

低代码平台,H5商城可视化搭建平台

ml-from-scratch icon ml-from-scratch

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from data mining to deep learning.

multiverso icon multiverso

Parameter server framework for distributed machine learning

opms icon opms

OPMS项目+OA管理系统

paperwork icon paperwork

Paperwork - OpenSource note-taking & archiving alternative to Evernote, Microsoft OneNote & Google Keep

ps-lite icon ps-lite

A lightweight parameter server interface

pytorch-book icon pytorch-book

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation

pytorch-handbook icon pytorch-handbook

pytorch handbook是一本开源的书籍,目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门,其中包含的Pytorch教程全部通过测试保证可以成功运行

quantaxis icon quantaxis

QUANTAXIS 支持任务调度 分布式部署的 股票/期货/期权/港股/虚拟货币 数据/回测/模拟/交易/可视化/多账户 纯本地量化解决方案

rabit icon rabit

Reliable Allreduce and Broadcast Interface for distributed machine learning

selectfeature icon selectfeature

主要解决ctr预估工程中的特征选择,特征编号(特征离散),单特征auc和logloss这3个问题.

ssm icon ssm

手把手教你整合最优雅SSM框架:SpringMVC + Spring + MyBatis

ssm-1 icon ssm-1

:on: a simple example introducing SSM's basic development knowledge with detailed manual

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