Renakon

Renakon's Stars

• tangyudi/Ai-Learn

  人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理，PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域

  9.8k20202.3k

• hongleizhang/RSPapers

  RSTutorials: A Curated List of Must-read Papers on Recommender System.

  6.2k33441.3k

• QingdaoU/OnlineJudge

  Open source online judge based on Vue, Django and Docker. | 青岛大学开源 Online Judge | QQ群 496710125 | admin@qduoj.com

  Language:Python6.1k1903811.5k

• pliang279/awesome-multimodal-ml

  Reading list for research topics in multimodal machine learning

  6k17816856

• guoguibing/librec

  LibRec: A Leading Java Library for Recommender Systems, see

  Language:Java3.2k2342561k

• xiaotudui/pytorch-tutorial

  PyTorch深度学习快速入门教程（绝对通俗易懂！）

  Language:Python2.8k73623

• wzhe06/SparrowRecSys

  A Deep Learning Recommender System

  Language:Python2.4k5733834

• ZiyaoGeng/RecLearn

  Recommender Learning with Tensorflow2.x

  Language:Python1.9k3582491

• Magic-Bubble/RecommendSystemPractice

  《推荐系统实践》代码实现

  Language:Jupyter Notebook687125221

• nakaizura/Source-Code-Notebook

  关于一些经典论文源码的逐行中文笔记

  Language:Python58373135

• yangn0/Xiudong-Script

  秀动自动抢票 脚本

  Language:Python33041339

• Wang-Shuo/GraphRec_PyTorch

  A PyTorch implementation of Graph Neural Networks for Social Recommendation (GraphRec)

  Language:Python1907748

• jomjol/water-meter-system-complete

  Language:Python184281750

• raymond-zhao/awesome-architect

  在准备找工作时发现，许多大厂面试内容是架构师知识的子集，既然如此，为什么不直接要求自己成为架构师呢？

  857054

• SuperpeakZhou/emotion_reg

  疫情期间网民情绪识别代码，包含lstm，bert，xlnet，robert，最高f1为0.725 部署在Google colab

  Language:Jupyter Notebook43218

• IronmanJay/MovieRecommendSystem

  基于深度学习的监督学习，使用梯度下降、ALS、LFM算法，使用AngularJS2生成前端框架，数据库为MongoDB，使用ElasticSearch作为搜索服务器，Redis作为缓存数据库，其中包括Spark的离线统计服务、Azkaban的工作调度服务、Flume的日志采集服务、Kafka作为消息缓冲服务，全局采用Scala编写，Java作为Tomcat部署使用，实现离线推荐、实时推荐、服务器冷启动问题解决。

  Language:JavaScript1910

• liufancs/MAML

  Language:Python8214

• xjtuerz0/word2vec

  Word2vec, gensim, python3

  Language:Jupyter Notebook5201