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inste-ad's Stars

• ossaw/books

  Technical books and blogs

  Language:Batchfile663264

• AnsonZnl/RehabilitationGuide

  颈椎病腰突康复指南，为程序员群体提供简单可靠的康复指南。

  Language:Python3.2k204

• tangxyw/RecSysPapers

  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.

  Language:Python1.3k197

• youngfish42/Awesome-FL

  Comprehensive and timely academic information on federated learning (papers, frameworks, datasets, tutorials, workshops)

  Language:Python1.5k184

• Xtra-Computing/NIID-Bench

  Federated Learning Benchmark - Federated Learning on Non-IID Data Silos: An Experimental Study (ICDE 2022)

  Language:Python559114

• chaoyanghe/Awesome-Federated-Learning

  FedML - The Research and Production Integrated Federated Learning Library: https://fedml.ai

  1.9k333

• google-research/google-research

  Google Research

  Language:Jupyter Notebook34.1k7.9k

• binary-husky/gpt_academic

  为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, moss等。

  Language:Python65.1k8k

• sjtug/SJTUThesis

  上海交通大学 LaTeX 论文模板 | Shanghai Jiao Tong University LaTeX Thesis Template

  Language:TeX3.3k796

• guyulongcs/Awesome-Deep-Learning-Papers-for-Search-Recommendation-Advertising

  Awesome Deep Learning papers for industrial Search, Recommendation and Advertisement. They focus on Embedding, Matching, Ranking (CTR/CVR prediction), Post Ranking, Large Model (Generative Recommendation, LLM), Transfer learning, Reinforcement Learning and so on.

  Language:Python1.4k225

• km1994/RES-Interview-Notes

  该仓库主要记录 推荐系统 算法工程师相关的面试题

  51586

• sinsauzero/Dive-into-DL-TensorFlow2.0

  本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为TensorFlow 2.0实现，项目已得到李沐老师的认可

  353

• ZiyaoGeng/RecLearn

  Recommender Learning with Tensorflow2.x

  Language:Python1.9k491

• shenweichen/AlgoNotes

  【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

  1.6k224

• dragen1860/TensorFlow-2.x-Tutorials

  TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码，实战教程。

  Language:Jupyter Notebook6.4k2.2k

• datawhalechina/fun-rec

  推荐系统入门教程，在线阅读地址：https://datawhalechina.github.io/fun-rec/

  Language:Jupyter Notebook4.4k822

• apachecn/Interview

  Interview = 简历指南 + 算法题 + 八股文 + 源码分析

  Language:Jupyter Notebook8.7k2.2k

• SmartKeyerror/Psyduck

  Record CS knowlegement with XMind, version 2.0. 使用 XMind 记录 Linux 操作系统，网络，C++，Golang 以及数据库的一些设计

  Language:Go4.4k521

• MarkovSc/DeepCTR_tensorflow_keras_pytorch

  Common Model about DeepCTR（WideDeep，DeepFM， DCN， XdeepFM）

  Language:Python2913

• cbamls/AI_Tutorial

  精选机器学习，NLP，图像识别， 深度学习等人工智能领域学习资料，搜索，推荐，广告系统架构及算法技术资料整理。算法大牛笔记汇总

  3.1k481

• czy36mengfei/tensorflow2_tutorials_chinese

  tensorflow2中文教程，持续更新(当前版本:tensorflow2.0)，tag: tensorflow 2.0 tutorials

  Language:Jupyter Notebook7.8k2k

• ShameCom/ShameCom

  收集校招污点公司或组织，帮助学弟学妹避雷。互联网不曾遗忘！

  5.6k328

• wnzhang/rtb-papers

  A collection of research and survey papers of real-time bidding (RTB) based display advertising techniques.

  3.5k923

• Jesse-csj/TensorFlow_Practice

  推荐系统/计算广告相关仓库，个人博客https://jesse-csj.github.io/

  Language:Python282101

• 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

  1.9k437

• AutoViML/Auto_ViML

  Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.

  Language:Python520102

• guoday/Tencent2020_Rank1st

  The code for 2020 Tencent College Algorithm Contest, and the online result ranks 1st.

  Language:Python1k318

• gerdm/prml

  Repository of notes, code and notebooks in Python for the book Pattern Recognition and Machine Learning by Christopher Bishop

  Language:Jupyter Notebook2.1k492

• matplotlib/cheatsheets

  Official Matplotlib cheat sheets

  Language:Python7.3k884

• jrzaurin/RecoTour

  A tour through recommendation algorithms in python [IN PROGRESS]

  Language:Jupyter Notebook17638