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readme

README文件语法解读，即Github Flavored Markdown语法介绍

recommendation-system

推荐系统资料笔记收录/ Everything about Recommendation System. 专题/书籍/论文/产品

recommendation_system_using_rl_recsim

Explore the potential of recommendation system using reinforcement learning

recommendersystems

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

repeatnet

research-line

A paper list of my research line, welcome to discuss with me.

rl-deepqlearning-trading

An RL model that uses double deep Q learning to generate an optimal policy of stock market trades

rl-movie-recommender

The purpose of our research is to study reinforcement learning approaches to building a movie recommender system. We formulate the problem of interactive recommendation as a contextual multi-armed bandit.

rl_ddpg_recommendation

Project for Course : Reinforcement Learning

rtb-papers

A collection of research and survey papers of real-time bidding (RTB) based display advertising techniques.

scikit-learn

scikit-learn: machine learning in Python

scrapy-redis

Redis-based components for Scrapy.

scrapy_jingdong

用scrapy写的京东爬虫

selective-search

selective-search for object recognition

sequence_tagging

Named Entity Recognition (LSTM + CRF) - Tensorflow

serving

A flexible, high-performance serving system for machine learning models

shap

A game theoretic approach to explain the output of any machine learning model.

sifarish

Content based and collaborative filtering based recommendation and personalization engine implementation on Hadoop and Storm

simhash

A Python Implementation of Simhash Algorithm

sl-quant

Companion code for the "Self Learning Quant" blog post

spearmint

Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimization of Machine Learning Algorithms. Jasper Snoek, Hugo Larochelle and Ryan P. Adams. Advances in Neural Information Processing Systems, 2012

sr-gnn

Source code and datasets for the paper "Session-based Recommendation with Graph Neural Networks" (AAAI-19)

stochasticsim_matlab

surprise

A Python scikit for building and analyzing recommender systems

syracuse_public

tensorflow

Computation using data flow graphs for scalable machine learning

tensorflow-deepfm

Tensorflow implementation of DeepFM for CTR prediction.

tensorflow-examples

TensorFlow Tutorial and Examples for Beginners with Latest APIs

tensorflow-generative-model-collections

Collection of generative models in Tensorflow