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
• hschen0712 / machine-learning-notes
  机器学习笔记
  ☆148Updated 7 years ago
• shenweichen / ctrip14
  科赛 携程出行产品未来14个月销量预测 第2名
  ☆62Updated 8 years ago
• YuyangZhangFTD / zyy_ML-DL
  the codes of machine learning and deep learning.
  ☆32Updated 8 years ago
• YJango / TFRecord-Dataset-Estimator-API
  Examples about How to import data from tfrecord files using dataset API.
  ☆104Updated 6 years ago
• hawhuang / xgboost_realtime_predict_test
  xgboost在线预测
  ☆30Updated 8 years ago
• jasonding1354 / PRML_Notes
  该项目是关于机器学习经典书籍《Pattern Recognition and Machine Learning》的学习笔记，我用python实现了书中的一些实例，希望帮助感兴趣的人更好的理解
  ☆77Updated 8 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 8 years ago
• ikki407 / stacking
  Stacked Generalization (Ensemble Learning)
  ☆224Updated 7 years ago
• RogerMonkey / IJCAI_CUP_2017
  IJCAI-17 口碑商家客流量预测
  ☆102Updated 8 years ago
• batch-norm / xDeepFM
  xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems
  ☆130Updated 5 years ago
• PnYuan / Practice-of-Machine-Learning
  code of scattered practices when studying "machine-learning".
  ☆92Updated 5 years ago
• JerryZhong / GBDT
  simple multi-class GBDT
  ☆15Updated 11 years ago
• SCP-173-cool / Keras-RNN-timeseries
  Keras-RNN-timeseries
  ☆27Updated 6 years ago
• massquantity / Class-Imbalance
  《机器学习之类别不平衡问题》文章代码
  ☆48Updated 6 years ago
• AlanConstantine / KDD-Cup-2019-CAMMTR
  Context-Aware Multi-Modal Transportation Recommendation
  ☆38Updated 6 years ago
• liudragonfly / GBDT
  A simple GBDT in Python
  ☆357Updated 7 years ago
• HanXiaoyang / Feature_Engineering_and_XGBoost_Parameter_Tuning
  Examples of how to do feature engineering and Xgboost parameter tuning
  ☆48Updated 9 years ago
• chandarb / Python-Regression-Tree-Forest
  Python implementation of CART regression tree and random forests
  ☆47Updated 10 years ago
• breezedeus / breezedeus.github.io
  Breezedeus's Blog
  ☆17Updated 2 years ago
• L1aoXingyu / tensorflow-beginner
  tensorflow learning according to CS20SI
  ☆48Updated 8 years ago
• drop-out / NonparametricKNN
  A KNN regressor that gives predictions based on customized loss function.
  ☆43Updated 7 years ago
• zhangluustb / CCF_FUND_CORR
  CCF-基金间的相关性预测比赛-TOP6
  ☆15Updated 6 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 6 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 9 years ago
• shubhamjn1 / Pseudo-Labelling---A-Semi-supervised-learning-technique
  ☆61Updated 8 years ago
• luoda888 / CCF2018-Top2-Demand-Forecast
  Solutions of the forecast problem using Xgboost
  ☆92Updated 6 years ago
• hhkunming / State-Frequency-Memory-Recurrent-Neural-Networks
  ☆46Updated 7 years ago
• palladino1 / NiuwaBigData
  Analysis in Niuwa Credit Risk
  ☆31Updated 9 years ago