This repository provides a comprehensive implementation of a deep neural network-based recommendation system similar to YouTube's. The repo is organized to incl
☆70Dec 11, 2025Updated 8 months ago
Alternatives and similar repositories for YouTube-DNN-RecSys
Users that are interested in YouTube-DNN-RecSys are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆15Apr 22, 2020Updated 6 years ago
- YouTube推荐算法☆114Dec 15, 2021Updated 4 years ago
- recommendation system with Youtube Deep Net☆86Sep 4, 2018Updated 7 years ago
- Neural candidates generation network based on Youtube reommender paper☆21Feb 13, 2019Updated 7 years ago
- code of paper `Deep Neural Networks for Youtube Recommendation`☆409Apr 11, 2017Updated 9 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- 短视频 youtube召回模型推荐,特征包括标题 tags id,tfserving docker部署☆21Jan 21, 2021Updated 5 years ago
- Youtube recommendation system in Tensorflow implementation☆20Aug 16, 2019Updated 7 years ago
- Implementation of the paper Unsupervised Learning of Video Representations using LSTMs☆10Nov 24, 2017Updated 8 years ago
- ☆13Apr 27, 2018Updated 8 years ago
- 推荐系统之深度学 习模型,框架采用tensorflow2☆58May 11, 2022Updated 4 years ago
- 推荐系统与深度学习☆35Apr 19, 2021Updated 5 years ago
- A two tower recommendation system implementation with tensorflow estimator, for CTR or Recall.☆77Jul 26, 2021Updated 5 years ago
- [译] 复杂性思维 中文第二版☆16Dec 24, 2020Updated 5 years ago
- A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can…☆2,436Apr 18, 2026Updated 4 months ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- ☆15Jan 15, 2019Updated 7 years ago
- HUAWEI-DIGIX 算法精英大赛人口属性预测赛题☆10Aug 28, 2019Updated 6 years ago
- Wide and Deep Learning for CTR Prediction in tensorflow☆292Aug 27, 2021Updated 4 years ago
- ☆11Dec 28, 2019Updated 6 years ago
- Implementation of "Infrared image enhancement through contrast enhancement by using multiscale new top-hat transform" using Python and CU…☆13Apr 27, 2020Updated 6 years ago
- ☆17Mar 20, 2018Updated 8 years ago
- ☆13Nov 20, 2018Updated 7 years ago
- 一个可解释性电影推荐系统,系统分为 App 端以及服务器端,App可在安卓端使用,服务器使用Python 流行Web框架 Django 和Flask搭建,并使用定时任务 crontab 命令进行定时推荐。APP端实现了用户登录注册、查看最新电影列表、电影 top 榜单、电影…☆10Mar 28, 2025Updated last year
- 数据挖掘18大算法实现以及其他相关经典DM算 法☆12Aug 2, 2015Updated 11 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Text Matching Based on LCQMC: A Large-scale Chinese Question Matching Corpus☆17Jan 12, 2021Updated 5 years ago
- distributed faiss for image retrieval☆21Apr 4, 2018Updated 8 years ago
- 推荐系统排序模型复现☆47Nov 5, 2020Updated 5 years ago
- ☆15Apr 26, 2023Updated 3 years ago
- 2020腾讯广告算法大赛方案分享及代码(冠军)☆14May 1, 2023Updated 3 years ago
- ☆410Mar 18, 2025Updated last year
- 2019 CCF☆16Oct 7, 2019Updated 6 years ago
- 华为人口年龄预测☆15Jul 8, 2019Updated 7 years ago
- kafka + structured streaming + phoenix + elasticsearch 基于行为日志实现热门推荐,用户偏好推荐,召回融合策略实现。☆20Sep 5, 2023Updated 2 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- Deep Match to Rank Model for Personalized Click-Through Rate Prediction☆237Feb 6, 2020Updated 6 years ago
- TensorFlow: learn and practice☆11Aug 30, 2018Updated 7 years ago
- Code for an intro to RL workshop. You'll be training a simple agent to play pong using policy gradients. Adapted from http://karpathy.git…☆15Dec 8, 2022Updated 3 years ago
- 分布式电影推荐系统☆12Dec 8, 2022Updated 3 years ago
- 实现功能:新输入一段文本,与已有数据进行相似度进行比较,返回TOP10的文本。主要实现方法:jieba中文分词、gensim、TF-IDF词汇重要性、cosine余弦相似度。☆11Jul 30, 2020Updated 6 years ago
- Let ChatGPT help you learn English in an innovative way☆14Feb 9, 2023Updated 3 years ago
- Implementation of RRT* and Informed-RRT* on Turtlebot in ROS-Gazebo☆15May 28, 2020Updated 6 years ago