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ranknet-1

Implementation of RankNet with chainer (python neural network library)

ranknet-2

My (slightly modified) Keras implementation of RankNet and PyTorch implementation of LambdaRank.

ranknet-3

Learning to rank using gradient descent

rbm-ae-tf

Tensorflow implementation of Restricted Boltzman Machine(RBM) and Autoencoder with layerwise pretraining.

rbm-autoencoder

Dimensionality Reduction with Neural Networks

rbm_ae

My python implementation of RBM and denoising Autoencoder for pre-training

rbm_based_autoencoders_with_tensorflow

rbmpaper

experiments and datasets used for the paper "A Deep Learning Approach to Unsupervised Ensemble Learning"

reboost

An R Package with Boosting and SMOTEBoost implementations for Regression Tasks

recbole

A unified, comprehensive and efficient recommendation library

recommend-estimators

Classical RecSys algorithms implemented by using TensorFlow Estimators

recommender-system

利用MovieLens数据，Pearson相似度，分别基于User和Item构建一个简单的kNN推荐系统，并给出RMSE评测

recommendersystems

reinforcement-learning

reinforcement-learning-1

Minimal and Clean Reinforcement Learning Examples

reinforcement-learning-2

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

reinforcement-learning-3

🤖 Implements of Reinforcement Learning algorithms.

reinforcement-learning-algorithms

This repository contains most of classic deep reinforcement learning algorithms, including - DQN, DDPG, A3C, PPO, TRPO. (More algorithms are still in progress)

reinforcement-learning-an-introduction

solutions to the examples and exercises

reinforcement-learning-an-introduction-1

Python Implementation of Reinforcement Learning: An Introduction

reinforcement-learning-course

Programming solutions and textbook notes for David Silver's Reinforcement Learning Course

reinforcement-learning-in-motion

Code repository for my course on the fundamentals of reinforcement learning

reinforcement-learning-notebooks

A collection of Reinforcement Learning algorithms from Sutton and Barto's book and other research papers implemented in Python.

reinforcement-learning-with-tensorflow

Simple Reinforcement learning tutorials

reinforcement_learning

Implementation of selected reinforcement learning algorithms in Tensorflow. A3C, DDPG, REINFORCE, DQN, etc.

reinforcement_learning_basic_book

这是一个学习强化学习基础原理学的仓库，里面有对于深入浅出强化学习原理入门一些例子和课后作业的代码

reinforcement_learning_blog

This code is written for the blogs

reinforcement_learning_for_trading

利用强化学习预测股价变化

reinforcement_learning_with_tensorflow

Minimal implementations of reinforcement learning algorithms by Tensorflow

representation-learning-on-heterogeneous-graph

Representation-Learning-on-Heterogeneous-Graph