RosieHan

RosieHan's Stars

• geekxh/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

  Language:Java35.2k658426.5k

• fengdu78/Coursera-ML-AndrewNg-Notes

  吴恩达老师的机器学习课程个人笔记

  Language:HTML31.5k1k6710.6k

• hiyouga/LLaMA-Factory

  Efficiently Fine-Tune 100+ LLMs in WebUI (ACL 2024)

  Language:Python30.7k1954.8k3.8k

• facebookresearch/faiss

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

  Language:C++30.5k4812.5k3.6k

• lutzroeder/netron

  Visualizer for neural network, deep learning and machine learning models

  Language:JavaScript27.5k2991.1k2.7k

• h2y/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。

  Language:Python15.6k5772632.3k

• openai/evals

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

  Language:Python14.7k2642052.6k

• spotify/annoy

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

  Language:C++13.1k3193971.2k

• shenweichen/DeepCTR

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

  Language:Python7.5k1783692.2k

• OFA-Sys/Chinese-CLIP

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

  Language:Python4.3k35325448

• PaddlePaddle/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

  Language:Python4.2k194217721

• wzhe06/Ad-papers

  Papers on Computational Advertising

  Language:Python4.2k34821.2k

• apple/tensorflow_macos

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

  Language:Shell3.7k148261308

• alibaba/Alink

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

  Language:Java3.6k138212795

• aksnzhy/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.

  Language:C++3.1k110301518

• jupyter-xeus/xeus-cling

  Jupyter kernel for the C++ programming language

  Language:C++3.1k67299295

• wzhe06/SparrowRecSys

  A Deep Learning Recommender System

  Language:Python2.4k5733823

• shenweichen/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.

  Language:Python2.2k5174531

• ChenglongChen/tensorflow-DeepFM

  Tensorflow implementation of DeepFM for CTR prediction.

  Language:Python2k6780807

• zhougr1993/DeepInterestNetwork

  Language:Python1.6k4090559

• ycjuan/libffm

  A Library for Field-aware Factorization Machines

  Language:C++1.6k710460

• docs4dev/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。

  1.3k4926219

• ycjuan/kaggle-2014-criteo

  Language:C++1.3k8510625

• wzhe06/SparkCTR

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

  Language:Scala9025515260

• CastellanZhang/alphaFM

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

  Language:C++8813239275

• linxid/Machine_Learning_Study_Path

  机器学习过程中所看的书，视频和源码

  Language:Python837382232

• Pysamlam/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!

  672335174

• RRdmlearning/Machine-Learning-From-Scratch

  常用机器学习的算法简洁实现

  Language:Python640185289

• cmawer/pycon-2017-eda-tutorial

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

  Language:HTML234151176

• stasi009/PracticalGuidetoRecSys

  《互联网大厂推荐算法实战》资料库

  Language:Python1964240