dh434

dh434's Stars

• ShaoQiBNU/Google_MTL

  Google多任务模型MMoE

  7716

• lvze92/DMR

  Deep Match to Rank Model for Personalized Click-Through Rate Prediction

  Language:Python23258

• naturomics/CapsNet-Tensorflow

  A Tensorflow implementation of CapsNet(Capsules Net) in paper Dynamic Routing Between Capsules

  Language:Python3.8k1.2k

• jiqizhixin/ML-Tutorial-Experiment

  Coding the Machine Learning Tutorial for Learning to Learn

  Language:Jupyter Notebook2.5k734

• asker124143222/bootstrapTest

  bootstrap test

  Language:CSS1821

• qzw1210/springboot_authority

  系统管理后台，包括用户管理，角色管理，资源链接管理模块，可以动态分配权限和角色。 使用springboot、springdata jpa、shiro等服务端技术，使用freemarker模版渲染页面。 系统中对springdata的查询条件Specification做了简单的封装，更加方便查询条件的灵活使用。 前端技术：使用Hadmin系统模版，数据表格使用bootstrap table插件，弹窗使用layer插件，日期选择使用laydate插件。表单验证使用jQuery validate插件等等。

  Language:JavaScript328193

• LongmaoTeamTf/deep_recommenders

  Deep Recommenders

  Language:Python325108

• 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

  1.5k219

• 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:Python2.2k527

• wnzhang/rtb-papers

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

  3.5k921

• mackncheesiest/heft

  Implementation of HEFT (Heterogeneous Earliest Finish Time) DAG Scheduling Algorithm in Python

  Language:Jupyter Notebook239

• sina33/heft

  HEFT and CPOP task scheduling algorithms

  Language:Python81

• hackerkid/HEFT-Scheduling

  Performance-effective and low-complexity task scheduling for heterogeneous computing

  Language:C++117

• MangoLiu/mangoliu.github.io

  MangoLiu's Bolg

  Language:CSS5319

• DA-southampton/Read_Bert_Code

  Bert源码阅读与讲解(Pytorch版本)-以BERT文本分类代码为例子

  Language:Python614147

• GSidiropoulos/Information-Retrieval-2

  Replicate the study of the paper "A Neural Click Model for Web Search" and come up with a novel follow-up idea.

  Language:Python4

• CHIANGEL/CS-Notes

  :books: Basic Knowledge of Technical Interview（技术面试必备基础知识、Leetcode 题解、后端面试、Java 面试、春招、秋招、操作系统、计算机网络、系统设计）

  Language:C++11

• CHIANGEL/2020_Summer_Intern_Logs

  求职是虚的，水面试经验是真的

  8

• NLP-LOVE/ML-NLP

  此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。

  Language:Jupyter Notebook15.5k4.5k

• THUIR/PSCMModel

  Language:HTML2812

• wolfkin-hth/FinTech2020

  2020 招商银行FinTech 数据赛道 rank10

  Language:Python10221

• mayerrn/tensorflowPartitioningAndScheduling

  Simulation of TensorFlow partitioning and scheduling strategies as discribed in [1].

  Language:Java73

• CharafeddineMechalikh/PureEdgeSim

  PureEdgeSim: A simulation framework for performance evaluation of cloud, fog, and pure edge computing environments.

  Language:Java17775

• varepsilon/clickmodels

  ClickModels is a small set of Python scripts for the user click models initially developed at Yandex. A Click Model is a probabilistic graphical model used to predict search engine click data from past observations. This project is aimed to deal with click models used in Information Retrieval (see next README.md) and intended to be easy-to-read and easy-to-modify. If it's not, please let me know how to improve it :)

  Language:Python23471

• sty945/bank_interview

  :bank: 银行笔试面试经验分享及资料分享（help you pass the bank interview, and get a amazing bank offer!）

  5.1k628

• acbull/Unbiased_LambdaMart

  Code for WWW'19 "Unbiased LambdaMART: An Unbiased Pairwise Learning-to-Rank Algorithm", which is based on LightGBM

  Language:C++22450

• xuanyuan14/CACM

  Pytorch implementation of CACM (WSDM'20)

  Language:Python278

• airalcorn2/LMIR

  Pure Python implementations of the language models for information retrieval surveyed here: https://dl.acm.org/doi/10.1145/383952.384019.

  Language:Python138

• markovi/PyClick

  Language:Python269107

• ZanyFun9/2019BDC_solution_4th

  2019高校大数据挑战第四名解决方案及代码（Fah队）

  Language:Jupyter Notebook254