71 Open source projects that are alternatives of or similar to Rubi

This repo contains regression and classification projects. Examples: development of predictive models for comments on social media websites; building classifiers to predict outcomes in sports competitions; churn analysis; prediction of clicks on online ads; analysis of the opioids crisis and an analysis of retail store expansion strategies using…

Python package for tackling multi-class imbalance problems. http://www.cs.put.poznan.pl/mlango/publications/multiimbalance/

Conceptual & empirical comparisons between decision forests & deep networks

A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models.

🌳 Stacked Gradient Boosting Machines

c++ implementation of decision tree algorithm

Interactive GUI (developed in Python) for calibration and conditional verification of numerical weather prediction model outputs.

An Interactive Approach to Understanding Deep Learning with Keras

Go Scoring API for PMML

Compiler for LightGBM gradient-boosted trees, based on LLVM. Speeds up prediction by ≥10x.

eForest: Reversible mapping between high-dimensional data and path rule identifiers using trees embedding

This is a Statistical Learning application which will consist of various Machine Learning algorithms and their implementation in R done by me and their in depth interpretation.Documents and reports related to the below mentioned techniques can be found on my Rpubs profile.

Python code for common Machine Learning Algorithms

Machine Learning models from scratch with a better visualisation

For extensive instructor led learning

📈 Click-Through Rate Prediction using Logistic Regression and Tree Algorithms

This repository contains instructions and code to deploy a customer 360 profile solution on Azure stack using the Cortana Intelligence Suite.

A tool for visualizing the structure and performance of Random Forests 🌳

This is the implementation of Sparse Projection Oblique Randomer Forest

An Interactive Approach to Understanding Supervised Learning Algorithms

simple tutorial on Machine Learning with Scikitlearn

Hyperon - Motor Insurance Demo App. This is a sample application to demonstrate capabilities of Hyperon.io library (Java Business Rules Engine (BRE)/Java Pricing Engine). The application demonstrates responsive quotations for Car/Motor Insurance based on decision tables and Rhino functions (for math calculations). It shows different possible bus…

Home repository for the Regularized Greedy Forest (RGF) library. It includes original implementation from the paper and multithreaded one written in C++, along with various language-specific wrappers.

Misc Statistics and Machine Learning codes in R

🚦 Declarative Finite-State Machines in Go

Machine learning algorithm such as KNN,Naive Bayes,Logistic Regression,SVM,Decision Trees,Random Forest,k means and Truncated SVD on amazon fine food review

A Reproducible Workflow for Structural and Functional Connectome Ensemble Learning

Machine Learning Lectures at the European Space Agency (ESA) in 2018

[ICML 2021] A fast algorithm for fitting robust decision trees. http://proceedings.mlr.press/v139/vos21a.html

A python implementation of C4.5 algorithm by R. Quinlan

Final project of IBM's course https://www.coursera.org/learn/machine-learning-with-python on coursera

pure Go implementation of prediction part for GBRT (Gradient Boosting Regression Trees) models from popular frameworks

Machine Learning University: Decision Trees and Ensemble Methods

Tajweed annotation for the Qur'an

ProtoTrees: Neural Prototype Trees for Interpretable Fine-grained Image Recognition, published at CVPR2021

A python library to build Model Trees with Linear Models at the leaves.

Top 5th percentile solution to the Kaggle knowledge problem - Bike Sharing Demand

Heatmap-integrated Decision Tree Visualizations

Implementations of machine learning algorithm by Python 3

AIFAD - Automated Induction of Functions over Algebraic Data Types

[ICML 2019, 20 min long talk] Robust Decision Trees Against Adversarial Examples

Text Classification Algorithms: A Survey

Techniques & resources for training interpretable ML models, explaining ML models, and debugging ML models.

Evolutionary Pac-Man bots using Grammatical Evolution and Multi-objective Optimization. Cool GUI included (Undergraduate Thesis)

Real time face landmarking using decision trees and NN autoencoders

Making decision trees competitive with neural networks on CIFAR10, CIFAR100, TinyImagenet200, Imagenet

A lightweight library for designing and executing workflows in .NET Core

Repository for the AdaptiveRandomForest algorithm implemented in MOA 2016-04

A complete one stop solution for all the problems of Rural area people. 👩🏻‍🌾

Software for creating and analyzing decision trees.

java math expression parser is faster than JEP

Material from "Random Forests and Gradient Boosting Machines in R" presented at Machine Learning Day '18

Seminar work "Decision Trees - An Introduction" with presentation, seminar paper, and Python implementation

Machine learning for C# .Net

Fast Differentiable Forest lib with the advantages of both decision trees and neural networks

A python library for decision tree visualization and model interpretation.

Predicting Amsterdam house / real estate prices using Ordinary Least Squares-, XGBoost-, KNN-, Lasso-, Ridge-, Polynomial-, Random Forest-, and Neural Network MLP Regression (via scikit-learn)

R package that makes basic data exploration radically simple (interactive data exploration, reproducible data science)

Simple machine learning library / 簡單易用的機器學習套件

Predicting IPL match results. https://kuharan.github.io/IPL-ML-2018/