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amazonproductrecommendation-cf-als-spark

We have chosen Amazon product sales data set comprising of sales activity and user ratings for each product. The idea is to create a product suggestion/recommendation system for each user based on his previous purchases and his rating for each one. A Collaborative Filtering model is built to predict the virtual ratings for the product that the user did not purchase. The system predicts the user rating for all the items and we display the products which user may be like, buy and rate higher.

automated-feature-engineering

自动特征工程--Automated feature engineering in Python with feature tools

awesome-recsys-works

The awesome and classic works in recommendation system!!! Good luck to every RecSys-learner!

boot2docker

Lightweight Linux for Docker

caser_pytorch

A PyTorch implementation of Convolutional Sequence Embedding Recommendation Model (Caser)

ccf201809

截至到201809的所有ccf题解

coursera-dl

Script for downloading Coursera.org videos and naming them.

deep-learning-for-recommendation-systems

This repository contains Deep Learning based articles , paper and repositories for Recommender Systems

deepfm_with_pytorch

A PyTorch implementation of DeepFM for CTR prediction problem.

deeplearning.ai-notes

吴恩达《深度学习》学习笔记(xmind)、作业代码、代码视频讲解

deeplearningzerotoall

TensorFlow Basic Tutorial Labs

dnn_ctr

The framework to deal with ctr problem。The project contains FNN,PNN,DEEPFM, NFM etc

dota2-heroes-recommendation

DotaNet uses machine learning algorithm to analyze datasets to predict best team heroes combination based on winning rate.

flask-bookrecommend-mysql

使用Flask，mysql构建的一个基于书籍，基于协同过滤算法，基于slope one的图书推荐系统

gutenberg

A content-based recommender system for books using the Project Gutenberg text corpus

hiholitchai

learning-to-learn

TensorFlow implementation of the paper "Learning to learn by gradient descent by gradient descent ( https://arxiv.org/abs/1606.04474 )"

leetcode-python

LeetCode problems in Python

lofterspider

lofter的爬虫，包括爬所有点过的喜欢/推荐/爬tag/爬取个人主页和单篇爬取。

machinelearning_python

机器学习算法python实现

maml

Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

maml-pytorch

Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)

maml-tf

Tensorflow Implementation of MAML

melu

meta-learning-papers

Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning

meta-sgd-pytorch

Neat implementation of Meta-SGD in pytorch: https://arxiv.org/abs/1707.09835

metalstm

Meta Learning for LSTM

movie-recommender

Recommend movies based on a movie selection, powered by Apache Spark Recommendation Engine

movie-recommender-1

A Movie Recommendation Engine using PySpark

movie-recommender-2

A movie recommendation system built using ALS from Spark MLlib, with a front-end written in Python using Flask.