xiaozhishixiaobai

xiaozhishixiaobai's Stars

• shenweichen/DeepCTR-Torch

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

  Language:Python2.9k683

• RUCAIBox/RecSysDatasets

  This is a repository of public data sources for Recommender Systems (RS).

  Language:Python752122

• youngyangyang04/leetcode-master

  《代码随想录》LeetCode 刷题攻略：200道经典题目刷题顺序，共60w字的详细图解，视频难点剖析，50余张思维导图，支持C++，Java，Python，Go，JavaScript等多语言版本，从此算法学习不再迷茫！🔥🔥 来看看，你会发现相见恨晚！🚀

  Language:Shell49.1k11.1k

• qiaoguan/deep-ctr-prediction

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

  Language:Python908276

• BubblyJuly/Girls-In-AI

  免费学代码系列：小白python入门、数据分析data analyst、机器学习machine learning、深度学习deep learning、kaggle实战

  Language:Jupyter Notebook2

• LogicJake/tianchi-news-recommendation

  零基础入门推荐系统 - 新闻推荐 Top2

  Language:Python8919

• xiaozhishixiaobai/kaoyanzhengzhi

  考研政治思维导图笔记

  201

• WarBean/zhihuzhuanlan

  Language:Jupyter Notebook3512

• shuhuai007/Machine-Learning-Session

  5.1k1.1k

• 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:Python2.2k525

• facebookresearch/faiss

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

  Language:C++29.5k3.5k

• zhongqiangwu960812/AI-RecommenderSystem

  该仓库尝试整理推荐系统领域的一些经典算法模型

  Language:Jupyter Notebook1.6k373

• coreylynch/pyFM

  Factorization machines in python

  Language:Python919311

• shenweichen/DeepCTR

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

  Language:Python7.4k2.2k

• 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 Notebook3.8k756

• PaddlePaddle/Paddle-Lite

  PaddlePaddle High Performance Deep Learning Inference Engine for Mobile and Edge (飞桨高性能深度学习端侧推理引擎）

  Language:C++6.9k1.6k

• microsoft/LightGBM

  A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

  Language:C++16.4k3.8k

• ty4z2008/Qix

  Machine Learning、Deep Learning、PostgreSQL、Distributed System、Node.Js、Golang

  14.6k4.7k

• PandasCute/how-to-use-xgb-lgb

  这是一个专门教你使用xgb,lgb的github-【baseline构建】

  Language:Jupyter Notebook136

• PandasCute/2018-CCF-BDCI-China-Unicom-Research-Institute-top2

  2018-CCF大数据与计算智能大赛-面向电信行业存量用户的智能套餐个性化匹配模型联通赛-复赛第二名-【多分类，embedding】

  Language:Python338152

• xiaozhishixiaobai/2048

  2048小游戏

  Language:JavaScript1

• PaddlePaddle/PaddleSeg

  Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image Matting, 3D Segmentation, etc.

  Language:Python8.4k1.7k

• PaddlePaddle/models

  Officially maintained, supported by PaddlePaddle, including CV, NLP, Speech, Rec, TS, big models and so on.

  Language:Python6.9k2.9k

• dmlc/xgboost

  Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

  Language:C++25.8k8.7k

• facebookresearch/Detectron

  FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

  Language:Python26.2k5.5k

• RRdmlearning/Machine-Learning-From-Scratch

  常用机器学习的算法简洁实现

  Language:Python638291

• Freemanzxp/GBDT_Simple_Tutorial

  python实现GBDT的回归、二分类以及多分类，将算法流程详情进行展示解读并可视化，庖丁解牛地理解GBDT。Gradient Boosting Decision Trees regression, dichotomy and multi-classification are realized based on python, and the details of algorithm flow are displayed, interpreted and visualized to help readers better understand Gradient Boosting Decision Trees

  Language:Python712196

• luannd/MinutiaeNet

  Code and models for paper "Robust Minutiae Extractor: Integrating Deep Networks and Fingerprint Domain Knowledge" at International Conference on Biometrics (ICB) 2018

  Language:Python13044

• wkentaro/pytorch-fcn

  PyTorch Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)

  Language:Python1.7k481

• WarBean/tps_stn_pytorch

  PyTorch implementation of Spatial Transformer Network (STN) with Thin Plate Spline (TPS)

  Language:Python919154