hzr's starred repositories

PracticalGuidetoRecSys

《互联网大厂推荐算法实战》资料库

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LLaMA-Factory

A WebUI for Efficient Fine-Tuning of 100+ LLMs (ACL 2024)

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Chinese-CLIP

Chinese version of CLIP which achieves Chinese cross-modal retrieval and representation generation.

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evals

Evals is a framework for evaluating LLMs and LLM systems, and an open-source registry of benchmarks.

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netron

Visualizer for neural network, deep learning and machine learning models

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annoy

Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk

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xeus-cling

Jupyter kernel for the C++ programming language

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PaddleRec

Recommendation Algorithm大规模推荐算法库,包含推荐系统经典及最新算法LR、Wide&Deep、DSSM、TDM、MIND、Word2Vec、Bert4Rec、DeepWalk、SSR、AITM,DSIN,SIGN,IPREC、GRU4Rec、Youtube_dnn、NCF、GNN、FM、FFM、DeepFM、DCN、DIN、DIEN、DLRM、MMOE、PLE、ESMM、ESCMM, MAML、xDeepFM、DeepFEFM、NFM、AFM、RALM、DMR、GateNet、NAML、DIFM、Deep Crossing、PNN、BST、AutoInt、FGCNN、FLEN、Fibinet、ListWise、DeepRec、ENSFM,TiSAS,AutoFIS等,包含经典推荐系统数据集criteo 、movielens等

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xlearn

High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI interface.

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tensorflow-DeepFM

Tensorflow implementation of DeepFM for CTR prediction.

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SparkCTR

CTR prediction model based on spark(LR, GBDT, DNN)

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Ad-papers

Papers on Computational Advertising

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libffm

A Library for Field-aware Factorization Machines

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faiss

A library for efficient similarity search and clustering of dense vectors.

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alphaFM

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

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SparrowRecSys

A Deep Learning Recommender System

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DeepMatch

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.

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Alink

Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.

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Coursera-ML-AndrewNg-Notes

吴恩达老师的机器学习课程个人笔记

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DeepCTR

Easy-to-use,Modular and Extendible package of deep-learning based CTR models .

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Shadowrocket-ADBlock-Rules

提供多款 Shadowrocket 规则,带广告过滤功能。用于 iOS 未越狱设备选择性地自动翻墙。

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tensorflow_macos

TensorFlow for macOS 11.0+ accelerated using Apple's ML Compute framework.

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docs4dev

后端开发常用框架文档及中文翻译,包含 Spring 系列文档(Spring, Spring Boot, Spring Cloud, Spring Security, Spring Session),大数据(Apache Hive, HBase, Apache Flume),日志(Log4j2, Logback),Http Server(NGINX,Apache),Python,数据库(OpenTSDB,MySQL,PostgreSQL)等最新官方文档以及对应的中文翻译。

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Machine_Learning_Study_Path

机器学习过程中所看的书,视频和源码

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Tips-of-Feature-engineering

A feature engineering kit for each issue, to give you a deeper and deeper understanding of the work of feature engineering!

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Machine-Learning-From-Scratch

常用机器学习的算法简洁实现

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pycon-2017-eda-tutorial

Resources for the PyCon 2017 tutorial, "Exploratory data analysis in python"

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hello-algorithm

🌍 针对小白的算法训练 | 包括四部分:①.大厂面经 ②.力扣图解 ③.千本开源电子书 ④.百张技术思维导图(项目花了上百小时,希望可以点 star 支持,🌹感谢~)推荐免费ChatGPT使用网站

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