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 4 years ago
• shubhamjn1 / Pseudo-Labelling---A-Semi-supervised-learning-technique
  ☆61Updated 7 years ago
• yanshengli / DBN_Learning
  利用深度RBM构建多分类模型
  ☆19Updated 9 years ago
• JerryZhong / GBDT
  simple multi-class GBDT
  ☆15Updated 10 years ago
• scofield7419 / basic_NNs_in_frameworks
  several basic neural networks[mlp, autoencoder, CNNs, recurrentNN, recursiveNN] implements under several NN frameworks[ tensorflow, pytor…
  ☆63Updated 2 years ago
• massquantity / Class-Imbalance
  《机器学习之类别不平衡问题》文章代码
  ☆45Updated 6 years ago
• andyxzq / gbdt_lr_in_recsys
  Using gbdt+lr in recommend system and comparing the auc of lr, gbdt, gbdt+lr.
  ☆24Updated 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 7 years ago
• hitalex / PLSA
  PLSA implementation via EM algorithm
  ☆84Updated 9 years ago
• NicolasDurrande / Gaussian-Process-Regression-handout
  ☆38Updated 8 years ago
• SayaZhang / IJCAI-2018-Ctr
  IJCAI-18 阿里妈妈搜索广告转化预测
  ☆53Updated 6 years ago
• siddharth-agrawal / Sparse-Autoencoder
  ☆89Updated 6 years ago
• myme5261314 / dbn_tf
  RBM/DBN implementation with tensorflow attempt project
  ☆80Updated 8 years ago
• xuanyuansen / scalaLSTM
  Using scala to implement tiny LSTM, mainly focusing on the BPTT process of training the network.
  ☆20Updated 8 years ago
• RyanYoung25 / randomForest
  Python implementation of a random forest for use with continuous value attributes
  ☆57Updated 7 years ago
• chandarb / Python-Regression-Tree-Forest
  Python implementation of CART regression tree and random forests
  ☆44Updated 10 years ago
• guicunbin / Tencent_Social_Advertising_Algorithm_Competition
  第一届腾讯社交广告高校算法大赛Tencent_2017_contest
  ☆24Updated 6 years ago
• hawhuang / xgboost_realtime_predict_test
  xgboost在线预测
  ☆30Updated 7 years ago
• MansteinLiliang / Transfer-Learning
  迁移学习
  ☆17Updated 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 5 years ago
• Eilene / HMM-python
  用python实现了隐马尔科夫模型的概率计算和预测部分，主要是前向后向算法和维特比算法
  ☆46Updated 9 years ago
• HanXiaoyang / Feature_Engineering_and_XGBoost_Parameter_Tuning
  Examples of how to do feature engineering and Xgboost parameter tuning
  ☆46Updated 8 years ago
• zhaoyu611 / DeepLearningTutorialForChinese
  This project is the same with deeplearning.net, but the comment is written for chinese
  ☆23Updated 8 years ago
• duxuhao / rong360-season2
  Top 1 - code for rong360 data mining competition
  ☆50Updated 7 years ago
• anhncs / Probabilistic-Graphical-Models
  Code for Implementation, Inference, and Learning of Bayesian and Markov Networks along with some practical examples.
  ☆105Updated 11 years ago
• kingfengji / mGBDT
  This is the official clone for the implementation of the NIPS18 paper Multi-Layered Gradient Boosting Decision Trees (mGBDT) .
  ☆102Updated 6 years ago
• kevin-luc / MFM-MTMV
  Multilinear Factorization Machines for multi-task multi-view learning
  ☆18Updated 8 years ago
• huangzhengsjtu / pcrf
  Python Linear CRF
  ☆47Updated 10 years ago
• Continue7777 / HMM
  basic hmm
  ☆27Updated 7 years ago
• zldeng / XgboostAndLR
  use xgboost and lr model for text classification. xgboost is used to be a feature transform for LR
  ☆44Updated 7 years ago