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frankiegu's Projects

face_gui icon face_gui

基于人脸检测的证件照自动生成(Automatic identification photos based on face detection)

faceswap-1 icon faceswap-1

Non official project based on original /r/Deepfakes thread. Many thanks to him!

faka icon faka

自动发卡系统(包含前台以及后台管理系统),对接payjs支付(无须企业认证)

fanscommunity icon fanscommunity

粉丝圈产品,智能获取热点新闻进行推广报道

fansfood icon fansfood

一个基于django的美食制作教程和美食图片的网站

fastspeech2 icon fastspeech2

An implementation of Microsoft's "FastSpeech 2: Fast and High-Quality End-to-End Text to Speech"

fathom icon fathom

Fathom Lite. Simple, privacy-focused website analytics. Built with Golang & Preact.

feast-redis icon feast-redis

Feast Redis modified from https://github.com/kubeflow/manifests/tree/master/contrib/feast

fgvc icon fgvc

[ECCV 2020] Flow-edge Guided Video Completion

fiction_house icon fiction_house

小说精品屋是一个多平台(web、安卓app、微信小程序)、功能完善的响应式小说弹幕网站,包含精品小说专区、轻小说专区和漫画专区。包括小说/漫画分类、小说/漫画搜索、小说/漫画排行、完本小说/漫画、小说/漫画评分、小说/漫画在线阅读、小说/漫画书架、小说/漫画阅读记录、小说下载、小说弹幕、小说/漫画自动采集/更新/纠错、小说内容自动分享到微博、邮件自动推广、链接自动推送到百度搜索引擎等功能.

finance-go icon finance-go

:bar_chart: Financial markets data library implemented in go.

finance-mock icon finance-mock

finance-mock is a mock HTTP server that generates API responses similar to actual remote sources. It can be used to make test suites faster and less brittle.

financial-nlp-intelligent-interaction icon financial-nlp-intelligent-interaction

项目介绍: 智能交互金融智能聊天。具体实现用户在所有关于股票话题的智能问答。其中难点是问题 分类、数据预处理、参数提取。 ☆个人工作: 实现金融智能聊天,实现所有股票问题的精确回答。通过提取通用特征将5亿+条训练语料缩减为10w条,语料内存占用量从10G减少到2M,并将精确度提高98%以上。设计划分股票问题为问股、选股、诊股、百科四个话题。设计利用TF-IDF,无监督训练得到分类。提供可靠稳定的后台服务,利用Redis,合理设计数据存储方式,提高平均查询速度到1秒之内。实现用户和机器人流畅交流。

financial_analysis icon financial_analysis

基于分布式爬虫,采集互联网公开来源的金融类新闻和文档类文本; 基于文本挖掘技术,进行无监督/半监督学习的数据ETL与特征工程; 基于金融数据挖掘技术,进行宏观经济分析,基本面分析与行业分析

finarthur icon finarthur

finarthur是C++实现的轻量级开源量化金融框架,包括交易系统、数据系统、回测工具、研究分析系统、运维工具以及可视化平台

fivem icon fivem

The source code for the FiveM modification framework for GTA V.

flink-recommandsystem-demo icon flink-recommandsystem-demo

:helicopter::rocket:基于Flink实现的商品实时推荐系统。flink统计商品热度,放入redis缓存,分析日志信息,将画像标签和实时记录放入Hbase。在用户发起推荐请求后,根据用户画像重排序热度榜,并结合协同过滤和标签两个推荐模块为新生成的榜单的每一个产品添加关联产品,最后返回新的用户列表。

flow icon flow

将业务功能拆分为积木单元,通过flow组合后运行,类似拼积木。对于策略系统、规则系统等灵活度较大或预先无法进行业务预估的服务尤为有利

flowml icon flowml

流程化 机器学习框架 基于 scala java语言 ,一站式自动机器学习平台 ,主要包括数据分析 特征工程 ,机器模型,自动部署,超参数优化,模型自动优化,自动扩容分配创建功能,类似第四范式、阿里PAI平台、google autoMl、亚马逊SageMaker

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