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  • ResidualNet.pdf


    Deep Residual Learning for Image Recognition Kaim

    residual net works Image se Net set learning layers dee

    Sun Dec 08 14:33:17 CST 2019

    资源下载/ 深度学习
    10
  • 2017-07-31-ResNet论文翻译——中文版_.pdf


    SnailTyan ● 首页 ● 分类 ● 归档

    residual net works learning Net 翻译 论文 dee 作者 layers

    Wed Dec 11 11:48:21 CST 2019

    资源下载/ 深度学习
    11
  • agz_unformatted_nature.pdf


    Mastering the Game of Go without Human Knowledge

    learning AlphaGo algorithm moves neural net inforcement Recently roduce int

    Sun Dec 08 14:33:17 CST 2019

    资源下载/ Xedge
    10
  • springerEBR09(1).pdf


    Ensemble Learning Zhi-Hua Zhou National Key Labo

    learning en learners semble base learners. hypothe machine kafka weak

    Sun Dec 08 14:33:17 CST 2019

    资源下载/ springboot
    10
  • 如何用 Python 快速测试各种深度学习模型-How to rapidly test dozens of deep learning models in Python.pdf


    2018/9/30 How to rapidly test dozens of deep learn

    model models learning te st rapidly work ing con ML

    Sun Dec 08 14:33:17 CST 2019

    资源下载/ springboot
    10
  • Adrian-Deep Learning for Computer Vision.pdf


    Thank you for downloading the table of contents

    learning book bundle deep ’ve chapters bundles content fit 机器

    Sun Dec 08 14:33:17 CST 2019

    资源下载/ springboot
    10
  • My secret sauce to be in top 2% of a kaggle competition.pdf


    Applause from Ludovic Benistant, Montana Low, and 

    model ition compet top 2% kaggle plots understand learning build

    Sun Dec 08 14:33:17 CST 2019

    资源下载/ git/gitflow/gitlib
    10
  • XGBoost A Scalable Tree Boosting System.pdf


    XGBoost: A Scalable Tree Boosting System Tianqi C

    data tree boosting learning insig hts scalable XG Boost widely

    Sun Dec 08 14:33:17 CST 2019

    资源下载/ springboot
    10
  • Unsupervised Feature Learning and Deep.pdf


    1 Unsupervised Feature Learning and Deep Learnin

    learning representations de Learning 机器 red answe feature unsupervised deep

    Sun Dec 08 14:33:17 CST 2019

    资源下载/ rational rose
    10
  • Semi-Supervised Learning Using Gaussian .pdf


    Semi-Supervised Learning Using Gaussian Fields and

    field learning Gaussian ran dom en graph London University onic

    Sun Dec 08 14:33:17 CST 2019

    资源下载/ Xedge
    10
  • Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm.pdf


    Mastering Chess and Shogi by Self-Play with a Gen

    game achieve 机器 performance man superhu achieved games learning inforce-ment

    Sun Dec 08 14:33:17 CST 2019

    资源下载/ ansible
    10
  • Machine Learning in Java (2016, Packt Publishing).pdf


    Machine Learning in Java Design, build, and deplo

    Publishing book Java Packt information caused Learning learning machine 机器

    Sun Dec 08 14:33:17 CST 2019

    资源下载/ git/gitflow/gitlib
    10
  • Machine Learning Algorithms In Layman’s Terms, Part 1.pdf


    Machine Learning Algorithms In Layman’s Terms, Pa

    machine topics learning series TreesR 机器 wordstream read•https files min

    Sun Dec 08 14:33:17 CST 2019

    资源下载/ springboot
    10
  • 1902.06720.pdf


    Wide Neural Networks of Any Depth Evolve as Linea

    net works neural wide work en training namics learning kernel.

    Sun Dec 08 14:33:17 CST 2019

    资源下载/ Xedge
    10
  • XGBoost A Scalable Tree Boosting System.pdf


    XGBoost: A Scalable Tree Boosting System Tianqi C

    data tree boosting insig hts scalable XG Boost widely learning

    Sun Dec 08 14:33:17 CST 2019

    资源下载/ springboot
    10
  • (Adaptive Computation and Machine Learning) Kevin P. Murphy - Machine Learning_ A Probabilistic Perspective-The MIT Press (2012).pdf


    Machine Learning A Probabilistic Perspective Kev

    machine learning Murphy Kevin methods examples book Machine 机器 Probabilistic

    Sun Dec 08 14:33:17 CST 2019

    资源下载/ Xedge
    10
  • DistMLplat.pdf


    A Comparison of Distributed Machine Learning Platf

    se distributed learning machine dataflow system Buffalo big evaluation kafka

    Sun Dec 08 14:33:17 CST 2019

    资源下载/ git/gitflow/gitlib
    10
  • dqn.pdf


    Playing Atari with Deep Reinforcement Learning Vo

    input model games control learning high inforcement dimensional sensory miller

    Sun Dec 08 14:33:17 CST 2019

    资源下载/ Xedge
    10
  • 1511.06434.pdf


    Under review as a conference paper at ICLR 2016 U

    CNNs con learning. net works convolutional supervised learning deep Research

    Sun Dec 08 14:33:17 CST 2019

    资源下载/ C#/.net
    10
  • rules_of_ml.pdf


      Rules of Machine Learning:  Best Practices

       a   to  Rule machine learning  machine in  机器 model

    Sun Dec 08 14:33:17 CST 2019

    资源下载/ storm
    11
  • arduino/Arduino

  • arduino/arduino-cli

  • wuyouzhuguli/SpringAll

  • mongodb/node-mongodb-native

  • go-redis/redis

  • beamofsoul/BusinessInfrastructurePlatformGroupVersion

  • zhouzeqian/base

  • zeromq/jeromq

  • mkoppanen/php-zmq

  • erickt/rust-zmq

  • progrium/nullmq

  • 839536/kettle

  • suyaollyz/kettle-scheduler

  • magwyz/pastec

  • feiskyer/sdn-handbook

  • microsoft/SDN

  • hubo1016/vlcp

  • Cloudslab/cloudsimsdn

  • rancher/k3s

  • tektoncd/pipeline

  • ericchiang/k8s

  • open-cmdb/cmdb

  • pycontribs/jira

  • teamatldocker/jira

  • baidu/openedge

  • OpenNetworkingFoundation/5G-xHaul

  • herlesupreeth/OAI-5G

  • rebeccabernie/ResearchMethods-5G

  • esig/dss

  • 生成数字签名

  • EngineHub/CraftBook

  • philanc/plc

  • flosse/node-plc

  • yujunhao8831/spring-boot-start-current

  • sufuf3/ONOS_install_script

  • tzaeschke/tinspin-indexes

  • kzwang/elasticsearch-image

  • GSA/asis

  • hectorm/pzntg

  • emiliofidalgo/obindex

  • qq547276542/Agriculture_KnowledgeGraph

  • Alok991/Activity_brain_wave_prediction

  • mongolab/dex

  • servicemesher/istio-knowledge-map

  • feelschaotic/AndroidKnowledgeSystem

  • cglib/cglib

  • cesanta/mongoose-os

  • docs4dev/docs4dev

  • kubeedge/kubeedge

  • locationtech/geowave

  • zhonglinlin1305/spring-boot-sample

  • eclipse-iofog/iofog.org

  • FujiZ/ns-3

  • HKUST-SING/MQ-ECN-NS2

  • HKUST-SING/MQ-ECN-Software

  • sergiolucia/edgeAI

  • mbaddeley/usdn

  • mozilla-services/autograph

  • yinyanghu/RSA

  • devsecops/forecast

  • 自托管代理未显示在代理池下拉列表中

  • borismus/webvr-boilerplate

  • Vytek/VR-Awesome

  • LLK/scratch-flash

  • adamcohenrose/The-Eyes-Have-It

  • lots-of-things/quantum-comp

  • 从边缘节点推送kafka消息的最佳方法是什么?

  • 谷歌搜索正在恶化吗?衡量 2022 年 Google 的搜索质量

  • 诗经总览.一言以蔽之:龙马精神

  • 含糖饮料展开子菜单:运动饮料

  • 健康饮品-水

  • 元宇宙之“封号架构师眼中的元宇宙”

  • 机器学习十大算法-SVM支持向量机

  • 机器学习十大算法-贝叶斯bayes

  • 机器学习十大算法-随机森林

  • 机器学习十大算法-C4.5

  • 机器学习十大算法-Boosting

  • 机器学习十大算法-AdaBoost

  • 机器学习十大算法-分类回归树CART

  • 机器学习十大算法-SGD梯度下降

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