Stars
Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
Scripts of LLM pre-training and fine-tuning (w/wo LoRA, DeepSpeed)
This is a repository used by individuals to experiment and reproduce the pre-training process of LLM.
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）
embedx 是基于 c++ 开发的、完全自研的分布式 embedding 训练和推理框架。它目前支持 图模型、深度排序、召回模型和图与排序、图与召回的联合训练模型等
PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf
Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch
Implements of Awesome RecSystem Models with PyTorch/TF2.0
allRank is a framework for training learning-to-rank neural models based on PyTorch.
Unbiased Learning To Rank Algorithms (ULTRA)
利用lightgbm做(learning to rank)排序学习，包括数据处理、模型训练、模型决策可视化、模型可解释性以及预测等。Use LightGBM to learn ranking, including data processing, model training, model decision visualization, model interpretability and …
tensorflow实战练习，包括强化学习、推荐系统、nlp等
该仓库尝试整理推荐系统领域的一些经典算法模型
First place solution of WSDM CUP 2020, pairwise-bert, lightgbm
lalaboom / RecSys-1
Forked from mJackie/RecSys计算广告/推荐系统/机器学习(Machine Learning)/点击率(CTR)/转化率(CVR)预估/点击率预估
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning …
Learning Vim and Vimscript doesn't have to be hard. This is the guide that you're looking for 📖
A collection of resources for Recommender Systems (RecSys)
Representation-Learning-on-Heterogeneous-Graph
Facilitating the design, comparison and sharing of deep text matching models.
文档去重功能是为了解决搜索引擎的文档语义重复的问题，方法是多重哈希下的语义指纹算法。
Pre-Training with Whole Word Masking for Chinese BERT（中文BERT-wwm系列模型）
Simple reference implementation of GraphSAGE.