Alternatives and similar repositories for Python-Regression-Tree-Forest

Users that are interested in Python-Regression-Tree-Forest are comparing it to the libraries listed below

• RyanYoung25 / randomForest
  Python implementation of a random forest for use with continuous value attributes
  ☆59Updated 7 years ago
• claesenm / EnsembleSVM
  A Library for Ensemble Learning Using Support Vector Machines
  ☆106Updated 11 years ago
• lucastheis / deepbelief
  Code for training and evaluating restricted Boltzmann machines (RBMs) and deep belief networks (DBNs).
  ☆60Updated 14 years ago
• zhaoyu611 / DeepLearningTutorialForChinese
  This project is the same with deeplearning.net, but the comment is written for chinese
  ☆23Updated 8 years ago
• amirsaffari / online-multiclass-lpboost
  Online Multi-Class LPBoost and Gradient Boosting
  ☆68Updated 10 years ago
• metpallyv / DecisionTrees
  Goal of this project is to build Classification Decision Trees and Regression Decision trees without using any Machine learning libraries
  ☆10Updated 6 years ago
• tjanez / PyMTL
  PyMTL (Python library for Multi-task learning) is a Python module implementing a Multi-task learning framework built on top of scikit-lea…
  ☆44Updated 11 years ago
• sumanyu / stacked-denoising-autoencoders
  sklearn wrappers for stacked denoising autoencoders
  ☆16Updated 9 years ago
• rajarsheem / libsdae-autoencoder-tensorflow
  A simple Tensorflow based library for deep and/or denoising AutoEncoder.
  ☆149Updated 7 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
• Chunpai / LASSO
  solve LASSO formulation with Proximal Gradient Descent, Accelerated Gradient Descent, and Coordinate Gradient Descent
  ☆21Updated 10 years ago
• nathanntg / adaboost
  Simple Python Adaboost Implementation
  ☆25Updated 4 years ago
• wreardan / cart
  Classification and Regression Trees with Random Forest implemented in Python
  ☆27Updated 10 years ago
• DrSkippy / Python-DP-Means-Clustering
  DP-means K-means clustering algorithms comparison
  ☆38Updated 10 years ago
• unnati-xyz / ensemble-package
  Package for Ensemble of Machine Learning Models
  ☆30Updated 5 years ago
• xuanyuansen / scalaLSTM
  Using scala to implement tiny LSTM, mainly focusing on the BPTT process of training the network.
  ☆20Updated 8 years ago
• ramarlina / som
  Self-Organizing Map for unsupervised feature engineering and dimensionality reduction
  ☆21Updated 12 years ago
• deerishi / graph-based-semi-supervised-learning
  This project explores the different techniques (both scalable and non scalable) for Graph based semi supervised learning. Recent techniqu…
  ☆14Updated 9 years ago
• jcklie / keras-autoencoder
  Collection of autoencoders written in Keras
  ☆37Updated 8 years ago
• Jianbo-Lab / CCM
  ☆74Updated 6 years ago
• zhuhan1236 / transfer-caffe
  [DEPRECATED] Please move to https://github.com/thuml/transfer-caffe
  ☆18Updated 7 years ago
• psutter05 / RBM
  Classification of data using Restricted Boltzmann Machines and Deep Learning Networks
  ☆19Updated 11 years ago
• caglar / autoencoders
  Implementation of several different types of autoencoders
  ☆116Updated 2 years ago
• dkyang / UFLDL-Tutorial-Exercise
  ☆76Updated 8 years ago
• LinZhineng / transfer-learning
  ☆15Updated 9 years ago
• log0 / vertebral
  Demonstration of the effect of synthetic features on linear models
  ☆79Updated 11 years ago
• JerryZhong / GBDT
  simple multi-class GBDT
  ☆15Updated 11 years ago
• aceveggie / LogisticRegression
  Logistic Regression classifier written in python
  ☆26Updated 12 years ago
• cmgreen210 / TensorFlowDeepAutoencoder
  MNIST Digit Classification Using Stacked Autoencoder And TensorFlow
  ☆154Updated 2 years ago
• shubhamjn1 / Pseudo-Labelling---A-Semi-supervised-learning-technique
  ☆61Updated 7 years ago