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精选机器学习，NLP，图像识别， 深度学习等人工智能领域学习资料，搜索，推荐，广告系统架构及算法技术资料整理。算法大牛笔记汇总
Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle
A cheatsheet of modern C++ language and library features.
This is a pytorch implementation for the BST model from Alibaba https://arxiv.org/pdf/1905.06874.pdf
A PaddlePaddle implementation of Self-Attentive Sequential Recommendation.
Codes and Datasets for paper RecSys'20 "SSE-PT: Sequential Recommendation Via Personalized Transformer" and NurIPS'19 "Stochastic Shared Embeddings: Data-driven Regularization of Embedding Layers"
强化学习中文教程（蘑菇书🍄），在线阅读地址：https://datawhalechina.github.io/easy-rl/
A pure-Python implementation of the Linear-Chain Conditional Random Fields
程序员延寿指南 | A programmer's guide to live longer
Must-read papers on graph neural networks (GNN)
An annotated implementation of the Transformer paper.
A privacy-first, self-hosted, fully open source personal knowledge management software, written in typescript and golang.
李宏毅2021/2022/2023春季机器学习课程课件及作业
Header-only C++/python library for fast approximate nearest neighbors
An open-source C++ library developed and used at Facebook.
A standard style for README files
A curated list of awesome CMake resources, scripts, modules and examples.
A DeepWalk implementation for ontologies using NetworkX and Gensim
Officially maintained, supported by PaddlePaddle, including CV, NLP, Speech, Rec, TS, big models and so on.
tensorflow实战练习，包括强化学习、推荐系统、nlp等
Dealing with all unstructured data, such as reverse image search, audio search, molecular search, video analysis, question and answer systems, NLP, etc.