NicholasLea
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该仓库尝试整理推荐系统领域的一些经典算法模型
A List of Recommender Systems and Resources
📻Terminal/ssh/telnet/serialport/RDP/VNC/sftp client(linux, mac, win)
Classic papers and resources on recommendation
中文大模型能力评测榜单：目前已囊括128个大模型，覆盖chatgpt、gpt-4o、谷歌gemini、百度文心一言、阿里通义千问、百川、讯飞星火、商汤senseChat、minimax等商用模型， 以及qwen2.5、llama3.1、glm4、书生internLM2.5、openbuddy、AquilaChat等开源大模型。不仅提供能力评分排行榜，也提供所有模型的原始输出结果！
Fine-Tuning Llama2 and Google Gemma Models Using LoRA and PEFT
Mercari 1st place solution (kaggle)
21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.
练习下用pytorch来复现下经典的推荐系统模型, 如MF, FM, DeepConn, MMOE, PLE, DeepFM, NFM, DCN, AFM, AutoInt, ONN, FiBiNET, DCN-v2, AFN, DCAP等
A PyTorch implementation of DeepFM for CTR prediction problem.
A flexible package for multimodal-deep-learning to combine tabular data with text and images using Wide and Deep models in Pytorch
RSTutorials: A Curated List of Must-read Papers on Recommender System.
This repository contains Deep Learning based articles , paper and repositories for Recommender Systems
《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！🚀
Data Science Feature Engineering and Selection Tutorials
This is the repository of our article published in RecSys 2019 "Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches" and of several follow-up studies.
The Simple Config Template Of Rime By Mintimate. QQ Chat-Group: 703260572
A curated list of awesome information retrieval resources
An Open-Source Package for Information Retrieval.
Open-Source Information Retrieval Courses @ TU Wien
Implementation of paper: HLATR: Enhance Multi-stage Text Retrieval with Hybrid List Aware Transformer Reranking
This project is a QA-based information retriever using llama2.