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）

Code for "Gradient Surgery for Multi-Task Learning"

TensorFlow implementation of GradNorm

主流推荐系统Rank算法的实现

Unified Efficient Fine-Tuning of 100+ LLMs (ACL 2024)

Summary of social recommendation papers and codes

Multi-thread implementation of Factorization Machines with FTRL for binary-class classification problem.

A flexible, high-performance framework for large-scale retrieval problems based on TensorFlow.

Advanced Retrieval Algorithms for Decomposing Large-Scale Candidate Set into Pieces.

在常规推荐系统算法和系统双优化的范式下，一线公司针对单个任务或单个业务的效果挖掘几乎达到极限。从2019年我们开始关注多种信息的萃取融合，提出了OneRec算法，希望通过平台或外部各种各样的信息来进行知识集成，打破数据孤岛，极大扩充推荐的“Extra World Knowledge”。 已实践的算法包括行为数据，内容描述，社交信息，知识图谱等。在OneRec，每种信息和整体算法的集成是可插拔…

An industrial deep learning framework for high-dimension sparse data

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。

FeatHub - A stream-batch unified feature store for real-time machine learning

Easily train a good VC model with voice data <= 10 mins!

Easy-to-use Speech Toolkit including Self-Supervised Learning model, SOTA/Streaming ASR with punctuation, Streaming TTS with text frontend, Speaker Verification System, End-to-End Speech Translatio…

Deep Recommenders

Guide for building custom op for TensorFlow

This project contains some deep learning code

Custom Optimizer in TensorFlow(定义你自己的Tensorflow Optimizer)

All about DeepLearning: 推荐系统、自然语言处理、Tensorflow、Pytorch等

最好用的 V2Ray 一键安装脚本 & 管理脚本

A framework for large scale recommendation algorithms.

😘 让你“爱”上 GitHub，解决访问时图裂、加载慢的问题。（无需安装）

🔥 经典编程书籍大全，涵盖：计算机系统与网络、系统架构、算法与数据结构、前端开发、后端开发、移动开发、数据库、测试、项目与团队、程序员职业修炼、求职面试等

CTR prediction models based on deep learning(基于深度学习的广告推荐CTR预估模型)

This repository contains Deep Learning based articles , paper and repositories for Recommender Systems

A TensorFlow Keras implementation of "Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts" (KDD 2018)