OustandingMan

Awesome-Deep-Learning-Papers-for-Search-Recommendation-Advertising

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 Neural Networks, Transfer Learning, Reinforcement Learning, Self-supervised Learning and so on.

bert-use-demo

the demo for bert

bigdata-notes

bigdata learning notes

clrec_v1.0

Co-Action-Network

Implementation of CAN: Revisiting Feature Co-Action for Click-Through RatePrediction

Data-Science-Notes

数据科学的笔记以及资料搜集

DecryptPrompt

总结Prompt&LLM论文，开源数据&模型，AIGC应用

deep_learning

基础的深度学习实验研究结果汇总笔记

DeepCTR

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

DeepMatch

A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can be used for ANN search.

DeepRL

Deep Reinforcement Learning Lab, a platform designed to make DRL technology and fun for everyone

dssm

DSSM and Multi-View DSSM

fun-rec

推荐系统入门教程，在线阅读地址：https://datawhalechina.github.io/fun-rec/

GNN-Recommendation

毕业设计：基于图神经网络的异构图表示学习和推荐算法研究

GNNPapers

Must-read papers on graph neural networks (GNN)

libffm

A Library for Field-aware Factorization Machines

LLM-Adapters

Code for our EMNLP 2023 Paper: "LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models"

LLM-Agents-Papers

A repo lists papers related to LLM based agent

LLM-Next-Item-Rec

Code for the Paper "Zero-Shot Next-Item Recommendation using Large Pretrained Language Models"

LLM-Optimizers-Papers

Must-read Papers on Large Language Model (LLM) as Optimizers and Automatic Optimization for Prompting LLMs.

LLM-Planning-Papers

Must-read Papers on Large Language Model (LLM) Planning.

neural_collaborative_filtering

Neural Collaborative Filtering

OpenHGNN

This is an open-source toolkit for Heterogeneous Graph Neural Network(OpenHGNN) based on DGL.

Plan-and-Solve-Prompting

Code for our ACL 2023 Paper "Plan-and-Solve Prompting: Improving Zero-Shot Chain-of-Thought Reasoning by Large Language Models".

pytorch-tutorial-2

PyTorch示例代码；复现GNN模型

SentimentAnalysis

Sentiment analysis neural network trained by fine-tuning BERT, ALBERT, or DistilBERT on the Stanford Sentiment Treebank.

simclr

SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners

Source-Code-Notebook

关于一些经典论文源码的逐行中文笔记

tf_repos

TensorFlow Script

WeiboSpider_SentimentAnalysis

借助Python抓取微博数据，并对抓取的数据进行情绪分析