Zeng-B-B
Follow
Stars
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
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 …
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports comp…
从无名小卒到大模型（LLM）大英雄~ 欢迎关注后续！！！
🔥🔥🔥 Latest Advances on Large Recommendation Models
KDD2025 | Multi-granularity Interest Retrieval and Refinement Network for Long-Term User Behavior Modeling in CTR Prediction
1st Solution for 2019-CIKM-Analyticup: Efficient and Novel Item Retrieval for Large-scale Online Shopping Recommendation
数据挖掘、计算机视觉、自然语言处理、推荐系统竞赛知识、代码、思路
KDD Cup 2020 Challenges for Modern E-Commerce Platform: Multimodalities Recall first place
The code for 2020 Tencent College Algorithm Contest, and the online result ranks 1st.
🛍 A real-world e-commerce dataset for session-based recommender systems research.
3rd Place Solution for the OTTO – Multi-Objective Recommender System Competition
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.
This in my Demo of Chen et al. "GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks" ICML 2018
Pytorch implementation of the GradNorm. GradNorm addresses the problem of balancing multiple losses for multi-task learning by learning adjustable weight coefficients.
手把手带你实战 Huggingface Transformers 课程视频同步更新在B站与YouTube
这里用来存储做人工智能项目的代码和参加数据挖掘比赛的代码
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）
推荐/广告/搜索领域工业界经典以及最前沿论文集合。A collection of industry classics and cutting-edge papers in the field of recommendation/advertising/search.
推荐系统入门教程，在线阅读地址：https://datawhalechina.github.io/fun-rec/
FinQwen: 致力于构建一个开放、稳定、高质量的金融大模型项目，基于大模型搭建金融场景智能问答系统，利用开源开放来促进「AI+金融」。
TensorFlow implementation of multi-task learning architectures, incl. MMoE & PLE, on wechat dataset
Retrieval and Retrieval-augmented LLMs
KAG is a logical form-guided reasoning and retrieval framework based on OpenSPG engine and LLMs. It is used to build logical reasoning and factual Q&A solutions for professional domain knowledge ba…
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
Question and Answer based on Anything.