HLLM: Enhancing Sequential Recommendations via Hierarchical Large Language Models for Item and User Modeling

Python入门网络爬虫之精华版

Recommender Learning with Tensorflow2.x

An industrial deep learning framework for high-dimension sparse data

a tensorflow implement of MIND (Multi-interest network) recall model

seq2seq learning with TensorFlow

State-of-the-Art Text Embeddings

we want to create a repo to illustrate usage of transformers in chinese

主要存储Datawhale组队学习中“自然语言处理”方向的资料。

Recommendation Algorithm大规模推荐算法库，包含推荐系统经典及最新算法LR、Wide&Deep、DSSM、TDM、MIND、Word2Vec、Bert4Rec、DeepWalk、SSR、AITM，DSIN，SIGN，IPREC、GRU4Rec、Youtube_dnn、NCF、GNN、FM、FFM、DeepFM、DCN、DIN、DIEN、DLRM、MMOE、PLE、ESM…

PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）

The official repository for ERNIE 4.5 and ERNIEKit – its industrial-grade development toolkit based on PaddlePaddle.

A Deep Learning Recommender System

A curated list of awesome resources related to capsule networks

Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.

Simple reference implementation of GraphSAGE.

【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.

This tool provides an efficient implementation of the continuous bag-of-words and skip-gram architectures for computing vector representations of words. These representations can be subsequently us…

Python learning to rank (LTR) toolkit

《代码随想录》LeetCode 刷题攻略：200道经典题目刷题顺序，共60w字的详细图解，视频难点剖析，50余张思维导图，支持C++，Java，Python，Go，JavaScript等多语言版本，从此算法学习不再迷茫！🔥🔥 来看看，你会发现相见恨晚！🚀

Papers on Computational Advertising

Neural Collaborative Filtering

Officially maintained, supported by PaddlePaddle, including CV, NLP, Speech, Rec, TS, big models and so on.

周志华《机器学习》手推笔记

《深度学习》花书手推笔记

推荐系统项目，目的在于向合适的用户发放调研问卷

基于Spark的实时推荐系统,使用MovieLens作为测试数据集