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An Easy-to-use, Scalable and High-performance RLHF Framework (70B+ PPO Full Tuning & Iterative DPO & LoRA & RingAttention & RFT)
[🔥updating ...] AI 自动量化交易机器人(完全本地部署) AI-powered Quantitative Investment Research Platform. 📃 online docs: https://ufund-me.github.io/Qbot ✨ :news: qbot-mini: https://github.com/Charmve/iQuant
👑 Easy-to-use and powerful NLP and LLM library with 🤗 Awesome model zoo, supporting wide-range of NLP tasks from research to industrial applications, including 🗂Text Classification, 🔍 Neural Search…
推荐系统入门教程，在线阅读地址：https://datawhalechina.github.io/fun-rec/
text2vec, text to vector. 文本向量表征工具，把文本转化为向量矩阵，实现了Word2Vec、RankBM25、Sentence-BERT、CoSENT等文本表征、文本相似度计算模型，开箱即用。
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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）
BELLE: Be Everyone's Large Language model Engine（开源中文对话大模型）
Research on Tabular Deep Learning: Papers & Packages
A framework for large scale recommendation algorithms.
Multi-task Learning Model for Recommender Systems
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.
PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
This is a repository of public data sources for Recommender Systems (RS).
A unified, comprehensive and efficient recommendation library
Deep-Learning based CTR models implemented by PyTorch
A collection of transformer's guides, implementations and variants.
Deep Multifaceted Transformers for Multi-objective Ranking in Large-Scale E-commerce Recommender Systems, CIKM 2020
A PyTorch implementation of DeepFM for CTR prediction problem.
推荐系统/计算广告相关仓库，个人博客https://jesse-csj.github.io/
这是我学习 PyTorch 的笔记对应的代码，点击查看 PyTorch 笔记在线电子书
总结梳理自然语言处理工程师(NLP)需要积累的各方面知识，包括面试题，各种基础知识，工程能力等等，提升核心竞争力
An Open-source Toolkit for Deep Learning based Recommendation with Tensorflow.
推荐、广告工业界经典以及最前沿的论文、资料集合/ Must-read Papers on Recommendation System and CTR Prediction