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Open-Sora: Democratizing Efficient Video Production for All
18 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
Python package built to ease deep learning on graph, on top of existing DL frameworks.
🔨 🍇 💻 🚀 GraphScope: A One-Stop Large-Scale Graph Computing System from Alibaba | 一站式图计算系统
Awesome Deep Learning papers for industrial Search, Recommendation and Advertising. They focus on Embedding, Matching, Ranking (CTR and CVR prediction), Post Ranking, Multi-task Learning, Graph Neu…
A visual no-code/code-free web crawler/spider易采集：一个可视化浏览器自动化测试/数据采集/爬虫软件，可以无代码图形化的设计和执行爬虫任务。别名：ServiceWrapper面向Web应用的智能化服务封装系统。
《开源大模型食用指南》基于Linux环境快速部署开源大模型，更适合中国宝宝的部署教程
《李宏毅深度学习教程》（李宏毅老师推荐👍），PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases
The official gpt4free repository | various collection of powerful language models
🇨🇳 GitHub中文排行榜，各语言分设「软件 | 资料」榜单，精准定位中文好项目。各取所需，高效学习。
搜索、推荐、广告、用增等工业界实践文章收集（来源：知乎、Datafuntalk、技术公众号）
An Industrial Graph Neural Network Framework
Source code for Twitter's Recommendation Algorithm
links to conference publications in graph-based deep learning
A framework for large scale recommendation algorithms.
MaxCompute spark demo for building a runnable application.
Heterogeneous Network Embedding: Survey, Benchmark, Evaluation, and Beyond
Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
A Python scikit for building and analyzing recommender systems
A Curated List of Must-read Papers on Recommender System.
推荐系统入门教程，在线阅读地址：https://datawhalechina.github.io/fun-rec/
Implements of community detection algorithms
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.
