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本项目旨在分享大模型相关技术原理以及实战经验（大模型工程化、大模型应用落地）
LLM (Large Language Model) FineTuning
面向开发者的 LLM 入门教程，吴恩达大模型系列课程中文版
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.
Awesome Deep Learning papers for industrial Search, Recommendation and Advertisement. They focus on Embedding, Matching, Pre-Ranking, Ranking (CTR/CVR prediction), Post Ranking, Relevance, LLM, Rei…
Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
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】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.
本文原文由知名 Hacker Eric S. Raymond 所撰寫，教你如何正確的提出技術問題並獲得你滿意的答案。
一键解析Markdown 目前支持: 微信公众号,知乎,知乎专栏,简书,知否(SegmentFault),掘金,CSDN,V2EX,博客园 , 语雀
【浅梦学习笔记】文章汇总:包含 排序&CXR预估，召回匹配，用户画像&特征工程，推荐搜索综合 计算广告，大数据，图算法，NLP&CV，求职面试 等内容
2019 HUAWEI DIGIX Nurbs Solutions
Implementation and experiments of graph neural netwokrs, like gcn,graphsage,gat,etc.
A curated list of awesome JupyterLab extensions and resources
Code for the IJCAI'19 paper "Deep Session Interest Network for Click-Through Rate Prediction"
Bytedance_ICME2019_challenge_baseline
Implementation and experiments of graph embedding algorithms.
An industrial deep learning framework for high-dimension sparse data
Bottom-up attention model for image captioning and VQA, based on Faster R-CNN and Visual Genome
Visual Question Answering Demo on pretrained model
A collection of research and survey papers of real-time bidding (RTB) based display advertising techniques.
Tencent Social Ads 2017 contest rank 20
ODPS Python SDK and data analysis framework
Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL
The framework to deal with ctr problem。The project contains FNN,PNN,DEEPFM, NFM etc