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chameleon_recsys

Source code of CHAMELEON - A Deep Learning Meta-Architecture for News Recommender Systems

DeepCTR

Easy-to-use,Modular and Extendible package of deep-learning based CTR models.

drl-rec

Deep reinforcement learning for recommendation system

Figure_bed

Markdown文档的图床

GenerativeAdversarialUserModel

Tensorflow implementation for "Generative Adversarial User Model forReinforcement Learning Based Recommendation System"

gitskills

Graduation-Project

GRU4Rec

GRU4Rec is the original Theano implementation of the algorithm in "Session-based Recommendations with Recurrent Neural Networks" paper, published at ICLR 2016 and its follow-up "Recurrent Neural Networks with Top-k Gains for Session-based Recommendations". The code is optimized for execution on the GPU.

GRU4REC-pytorch

An other implementation of GRU4REC using PyTorch

GRU4Rec_TensorFlow

TensorFlow implemenation of GRu4Rec model

keras_examples

examples of keras learing

learngit

leetcode

LeetCode Problems' Solutions

Machine-Learning-with-R-datasets

Formatted datasets for Machine Learning With R by Brett Lantz

mofan-PYTHON

myaddons

odoo myaddons

pytorch_geometric

Geometric Deep Learning Extension Library for PyTorch

RecNN

Reinforced Recommendation toolkit build around pytorch 1.3

RecQ

RecQ: A Python Framework for Recommender Systems (TensorFlow Based)

reddit-RL-simulator

This repository provides simulator codes for predicting and tracking popular discussion threads on Reddit

Reinforcement-learning-with-tensorflow

Simple Reinforcement learning tutorials

seq2seq_chatbot_new

基于seq2seq模型的简单对话系统的tf实现，具有embedding、attention、beam_search等功能，数据集是Cornell Movie Dialogs

seqgan

practice on seqgan

springbootProject

sql-father-backend-public

快速生成 SQL 和模拟数据的网站（Java 后端）origin by 程序员鱼皮

sql-father-frontend-public

新项目：快速生成 SQL 和模拟数据的网站（React 前端），大幅提高开发测试效率！by 程序员鱼皮

tensorflow_seq2seq

Tensorflow中的Seq2Seq全家桶

thread-pool-test

线程池异常抛出测试

zuul

Zuul is a gateway service that provides dynamic routing, monitoring, resiliency, security, and more.