jameszhang-236

jameszhang-236's Stars

• xai-org/grok-1

  Grok open release

  Language:Python49.4k8.3k

• DeepSparkChaker/GiveMeCredit_Top5_Solution_Kaggle

  Banks play a crucial role in market economies. They decide who can get finance and on what terms and can make or break investment decisions. For markets and society to function, individuals and companies need access to credit. Credit scoring algorithms, which make a guess at the probability of default, are the method banks use to determine whether or not a loan should be granted. This competition requires participants to improve on the state of the art in credit scoring, by predicting the probability that somebody will experience financial distress in the next two years. The goal of this competition is to build a model that borrowers can use to help make the best financial decisions.

  Language:Jupyter Notebook134

• yhs968/pyGRU4REC

  PyTorch Implementation of Session-based Recommendations with Recurrent Neural Networks(ICLR 2016, Hidasi et al.)

  Language:Jupyter Notebook14727

• CRIPAC-DIG/SR-GNN

  [AAAI 2019] Source code and datasets for "Session-based Recommendation with Graph Neural Networks"

  Language:Python818270

• Significant-Gravitas/AutoGPT

  AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

  Language:Python166k44k

• linyiLYi/street-fighter-ai

  This is an AI agent for Street Fighter II Champion Edition.

  Language:Python6.3k1.4k

• twitter/the-algorithm

  Source code for Twitter's Recommendation Algorithm

  Language:Scala62k12.1k

• f/awesome-chatgpt-prompts

  This repo includes ChatGPT prompt curation to use ChatGPT better.

  Language:HTML110k15k

• RUCAIBox/CORE

  [SIGIR'22] Official PyTorch implementation for "CORE: Simple and Effective Session-based Recommendation within Consistent Representation Space".

  Language:Python376

• WideSu/serenRec

  A session-based recommendation system to recommend baby products on Amazon using 4 models namely ITEMKNN, POP, GRU4Rec, and STAMP, STAMP performs the best in all accuracy metrics followed by GRU4Rec. We also did result analysis, including ranking accuracy, coverage, popularity.

  Language:Jupyter Notebook1

• wong2/chatgpt-google-extension

  This project is deprecated. Check my new project ChatHub:

  Language:TypeScript13.3k1.5k

• allenjack/HGN

  Hierarchical Gating Networks for Sequential Recommendation

  Language:Jupyter Notebook14023

• labuladong/fucking-algorithm

  刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.

  Language:Markdown125k23.2k

• tomstillcoding/cs-roadmap

  ❤️这是一条汇总网上许多资料，而不是资料的纯粹堆砌，让人眼花缭乱的复制粘贴，这不是帮你在总结所有的知识点，而是根据实际的计算机系课程来安排学习路线，并且配合上面向就业的学习，与完全跟着学校课程相比，做到了不和工业界面试不脱节，非常实际、非常认真、非常掉头发，真心求个视频三连！

  1.2k140

• forthespada/CSLearning

  开源项目之「计算机编程自学之路」：计算机自学指南+面试大全+资源分享+技术文章

  33451

• huangrt01/CS-Notes

  我的自学笔记，终身更新，当前专注System基础、MLSys。

  Language:Python3.8k484

• ChenJiaDong9219/movieRecommendation

  本项目使用两种算法来实现一个电影推荐系统，一个是CNN，另一个是矩阵分解的协同过滤。

  Language:Jupyter Notebook12738

• JaniceWuo/MovieRecommend

  一个电影推荐系统

  Language:Python704156

• fuhailin/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

  Language:Python6928

• asif536/Movie-Recommender-System

  Basic Movie Recommendation Web Application using user-item collaborative filtering.

  Language:HTML21086

• apresswala52/Netflix-Movie-Recommendation

  A collaborative-filtering based Recommendation Engine built on Netflix data that recommends movies to users.

  Language:Jupyter Notebook22

• jonasschmedtmann/complete-javascript-course

  Starter files, final projects, and FAQ for my Complete JavaScript course

  Language:JavaScript15.5k16.7k

• oneThousand1000/non-hair-FFHQ

  A dataset that contains 6,000 non-hair FFHQ portraits.

  37221

• PaddlePaddle/PaddleHub

  Awesome pre-trained models toolkit based on PaddlePaddle. (400+ models including Image, Text, Audio, Video and Cross-Modal with Easy Inference & Serving)

  Language:Python12.7k2.1k

• cartopy/ConvMF

  Code for our paper Convolutaional Matrix Factorization for Document Context-Aware Recommendation (RecSys 2016)

  Language:Python284128

• ruanyf/weekly

  科技爱好者周刊，每周五发布

  45k2.8k

• Snailclimb/JavaGuide

  「Java学习+面试指南」一份涵盖大部分 Java 程序员所需要掌握的核心知识。准备 Java 面试，首选 JavaGuide！

  Language:Java146k45.5k

• peng-zhihui/Dummy-Robot

  我的超迷你机械臂机器人项目。

  Language:C11.9k2.6k

• open-android/Android

  GitHub上最火的Android开源项目,所有开源项目都有详细资料和配套视频

  14.3k3.6k

• microsoft/ML-For-Beginners

  12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

  Language:HTML69k14.2k