Alternatives and similar repositories for decision-tree

Users that are interested in decision-tree are comparing it to the libraries listed below

• ajtulloch / svmpy
  Basic soft-margin kernel SVM implementation in Python
  ☆261Updated 9 years ago
• michaeldorner / DecisionTrees
  Seminar work "Decision Trees - An Introduction" with presentation, seminar paper, and Python implementation
  ☆127Updated 9 years ago
• ikki407 / stacking
  Stacked Generalization (Ensemble Learning)
  ☆229Updated 8 years ago
• LasseRegin / SVM-w-SMO
  Simple implementation of a Support Vector Machine using the Sequential Minimal Optimization (SMO) algorithm for training.
  ☆120Updated 7 years ago
• vsmolyakov / experiments_with_python
  experiments with python
  ☆376Updated 8 years ago
• rajarsheem / libsdae-autoencoder-tensorflow
  A simple Tensorflow based library for deep and/or denoising AutoEncoder.
  ☆150Updated 7 years ago
• pylablanche / gcForest
  Python implementation of deep forest method : gcForest
  ☆423Updated 7 years ago
• tankle / EM
  EM algorithm
  ☆60Updated 10 years ago
• chandarb / Python-Regression-Tree-Forest
  Python implementation of CART regression tree and random forests
  ☆47Updated 11 years ago
• RyanYoung25 / randomForest
  Python implementation of a random forest for use with continuous value attributes
  ☆59Updated 8 years ago
• cmgreen210 / TensorFlowDeepAutoencoder
  MNIST Digit Classification Using Stacked Autoencoder And TensorFlow
  ☆153Updated 3 years ago
• anhncs / Probabilistic-Graphical-Models
  Code for Implementation, Inference, and Learning of Bayesian and Markov Networks along with some practical examples.
  ☆104Updated 12 years ago
• dozercodes / DecisionTree
  Python Implementation of ID3
  ☆140Updated 5 years ago
• eliorc / Medium
  Code related to blog posts on my Medium page
  ☆355Updated 4 years ago
• geerk / C45algorithm
  Implementation of C4.5 algorithm in python.
  ☆59Updated 6 years ago
• dclambert / Python-ELM
  Extreme Learning Machine implementation in Python
  ☆551Updated 4 years ago
• wepe / tgboost
  Tiny Gradient Boosting Tree
  ☆322Updated 6 years ago
• iwyoo / LSTM-autoencoder
  TensorFlow LSTM-autoencoder implementation
  ☆192Updated 8 years ago
• MarvinBertin / HiddenMarkovModel_TensorFlow
  TensorFlow: Viterbi, Forward-Backward and Baum Welch with a Hidden Markov Model (HMM)
  ☆137Updated 5 years ago
• mchablani / deep-learning
  Repo for the Deep Learning Nanodegree Foundations program.
  ☆166Updated 8 years ago
• siddheshk / Faster-Kmeans
  Code for a faster K-means clustering heuristic
  ☆122Updated 8 years ago
• nathanntg / adaboost
  Simple Python Adaboost Implementation
  ☆24Updated 5 years ago
• shubhamjn1 / Pseudo-Labelling---A-Semi-supervised-learning-technique
  ☆61Updated 8 years ago
• SunnyMarkLiu / Naive_Bayes_Meet_Adaboost
  Implement Naive Bayes and Adaboost from scratch and use them to filter spam emails.
  ☆158Updated 8 years ago
• siddharth-agrawal / Sparse-Autoencoder
  ☆89Updated 7 years ago
• haoopeng / CNN-yelp-challenge-2016-sentiment-classification
  IPython Notebook for training a word-level Convolutional Neural Network model for sentiment classification task on Yelp-Challenge-2016 re…
  ☆112Updated 5 years ago
• guyz / HMM
  Python Hidden Markov Models framework
  ☆134Updated 12 years ago
• asap-report / lstm-visualisation
  ☆64Updated 3 years ago
• akusok / hpelm
  High performance implementation of Extreme Learning Machines (fast randomized neural networks).
  ☆203Updated 11 months ago
• Cospel / rbm-ae-tf
  Tensorflow 1.X implementation of Restricted Boltzman Machine(RBM) and Autoencoder with layerwise pretraining.
  ☆84Updated 5 years ago