Alternatives and similar repositories for EM

Users that are interested in EM are comparing it to the libraries listed below

• nathanntg / adaboost
  Simple Python Adaboost Implementation
  ☆25Updated 5 years ago
• massquantity / Class-Imbalance
  《机器学习之类别不平衡问题》文章代码
  ☆47Updated 6 years ago
• shenweichen / ctrip14
  科赛 携程出行产品未来14个月销量预测 第2名
  ☆63Updated 8 years ago
• hawhuang / xgboost_realtime_predict_test
  xgboost在线预测
  ☆30Updated 7 years ago
• xuanyuansen / scalaLSTM
  Using scala to implement tiny LSTM, mainly focusing on the BPTT process of training the network.
  ☆20Updated 8 years ago
• scofield7419 / basic_NNs_in_frameworks
  several basic neural networks[mlp, autoencoder, CNNs, recurrentNN, recursiveNN] implements under several NN frameworks[ tensorflow, pytor…
  ☆65Updated 2 years ago
• yinyajun / Details-In-Recommendation
  Recommender-In-Detail is a package which offers detailed implementations of state-of-the-art techniques and basic methods in recommendati…
  ☆19Updated 5 years ago
• chandarb / Python-Regression-Tree-Forest
  Python implementation of CART regression tree and random forests
  ☆47Updated 10 years ago
• kingfengji / mGBDT
  This is the official clone for the implementation of the NIPS18 paper Multi-Layered Gradient Boosting Decision Trees (mGBDT) .
  ☆104Updated 6 years ago
• QuantumLiu / matDL
  A lightweight MATLAB deeplearning toolbox,based on gpuArray.
  ☆53Updated 7 years ago
• DrJZhou / Black-Swan
  KDD CUP 2017
  ☆82Updated 8 years ago
• YJango / TFRecord-Dataset-Estimator-API
  Examples about How to import data from tfrecord files using dataset API.
  ☆104Updated 6 years ago
• JerryZhong / GBDT
  simple multi-class GBDT
  ☆15Updated 11 years ago
• andyxzq / gbdt_lr_in_recsys
  Using gbdt+lr in recommend system and comparing the auc of lr, gbdt, gbdt+lr.
  ☆24Updated 8 years ago
• ttff96989 / KDD-CUP-2017
  KDD CUP 2017 Highway Tollgates Traffic Flow Prediction(Traffic Volume Prediction)
  ☆24Updated 7 years ago
• zhangluustb / CCF_FUND_CORR
  CCF-基金间的相关性预测比赛-TOP6
  ☆15Updated 6 years ago
• hschen0712 / machine-learning-notes
  机器学习笔记
  ☆148Updated 7 years ago
• shenweichen / ReinforcementLearning
  This project contains several Deep Reinforcement Learning method and some experiments basd on OpenAi gym.
  ☆20Updated 7 years ago
• luoda888 / CCF2018-Top2-Demand-Forecast
  Solutions of the forecast problem using Xgboost
  ☆92Updated 6 years ago
• CrawlScript / PyTorch-Tutorial
  PyTorch中文入门教程
  ☆41Updated 7 years ago
• JinpengLI / kdd2017
  kdd2017 travel time competition rank 28/3574
  ☆30Updated 8 years ago
• AlanConstantine / KDD-Cup-2019-CAMMTR
  Context-Aware Multi-Modal Transportation Recommendation
  ☆38Updated 6 years ago
• SayaZhang / IJCAI-2018-Ctr
  IJCAI-18 阿里妈妈搜索广告转化预测
  ☆53Updated 7 years ago
• ColaDrill / tx_competition
  2018腾讯广告算法大赛
  ☆54Updated 6 years ago
• DrJZhou / KDD_CUP_2018
  KDD CUP 2018
  ☆128Updated 6 years ago
• HanXiaoyang / Feature_Engineering_and_XGBoost_Parameter_Tuning
  Examples of how to do feature engineering and Xgboost parameter tuning
  ☆47Updated 8 years ago
• xiaogangLi / Smart-Transportation-Prediction
  A competition for smart transportation prediction.
  ☆10Updated 5 years ago
• wangru8080 / Deep_CTR
  ☆31Updated 2 years ago
• jasonfreak / ple
  基于sklearn，强化Pipeline和FeatureUnion两个类。对FeatureUnion类，使其支持部分数据处理；对两者，增加特征转换行为记录的功能。
  ☆29Updated 8 years ago
• ryancheunggit / kddcup2018-of-fresh-air
  #30 at KDD CUP 2018 https://biendata.com/competition/kdd_2018/
  ☆42Updated 7 years ago