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Aromashen's starred repositories

RNStudyNotes

React Native 研究与实践

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node-elm

Backend system based on node.js + Mongodb. 基于 node.js + Mongodb 构建的后台系统

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vue2-elm

Large single page application with 45 pages built on vue2 + vuex. 基于 vue2 + vuex 构建一个具有 45 个页面的大型单页面应用

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fe-interview

前端面试每日 3+1，以面试题来驱动学习，提倡每日学习与思考，每天进步一点！每天早上5点纯手工发布面试题（死磕自己，愉悦大家），6000+道前端面试题全面覆盖，HTML/CSS/JavaScript/Vue/React/Nodejs/TypeScript/ECMAScritpt/Webpack/Jquery/小程序/软技能……

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neural_collaborative_filtering

Neural Collaborative Filtering

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Recommender-System

A developing recommender system in tensorflow2. Algorithm: UserCF, ItemCF, LFM, SLIM, GMF, MLP, NeuMF, FM, DeepFM, MKR, RippleNet, KGCN and so on.

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crab

Crab is a ﬂexible, fast recommender engine for Python that integrates classic information ﬁltering recommendation algorithms in the world of scientiﬁc Python packages (numpy, scipy, matplotlib).

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QRec

QRec: A Python Framework for quick implementation of recommender systems (TensorFlow Based)

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recommenders

Best Practices on Recommendation Systems

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LASSO_Using_PGD

A demo showing how proximal gradient descent and accelerated proximal gradient descent can solve LASSO formulation

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lasso

Convex optimizers for LASSO, including subgradient, project gradient, proximal gradient, smooth method, lagrangian method and stochastic gradient descent variants.

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LASSO

solve LASSO formulation with Proximal Gradient Descent, Accelerated Gradient Descent, and Coordinate Gradient Descent

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recsyspy

Classic recommendation algorithms implementation

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funk-svd

🎥 Simple Python implementation of Funk SVD for MovieLens movie collaborative recommendations.

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reco

a simple yet versatile recommendation systems library in python

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Recommend

Python 3.6 下的推荐算法解析，尽量使用简单的语言剖析原理，相似度度量、协同过滤、矩阵分解等

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MultiItem-Auction-Assignment

多物品拍卖（最优分配算法）An auction solution to assign multiple items for people

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Surprise

A Python scikit for building and analyzing recommender systems

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blog

Too young, too simple. Sometimes, naive.

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School-Partners

一个为学生提供在线学习、做题PK、资料查阅、聊天交流等功能的学习小程序以及配套的后台管理系统

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ailearning

AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2

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blog

Lawler's Blog 不定期分享一些前端技术

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tinygbt

A Tiny, Pure Python implementation of Gradient Boosted Trees.

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rrcf

🌲 Implementation of the Robust Random Cut Forest algorithm for anomaly detection on streams

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pyIBCC

IBCC implementation for use with cit sci projects. Updated from code written by Kieran Finn.

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cubam

Caltech UCSD Binary Annotation Model (CUBAM)

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incremental_decision_tree-CART-Random_Forest

incremental CART decision tree, based on the hoeffding tree i.e. very fast decision tree (VFDT), which is proposed in this paper "Mining High-Speed Data Streams" by Domingos & Hulten (2000). And a newly extended model "Extremely Fast Decision Tree" (EFDT) by Manapragada, Webb & Salehi (2018). Added new implementation of Random Forest

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