71 Open source projects that are alternatives of or similar to Quran Tajweed

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

Go Scoring API for PMML

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

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…

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.

Conceptual & empirical comparisons between decision forests & deep networks

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

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

🌳 Stacked Gradient Boosting Machines

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

Machine Learning models from scratch with a better visualisation

A Lightweight Decision Tree Framework supporting regular algorithms: ID3, C4,5, CART, CHAID and Regression Trees; some advanced techniques: Gradient Boosting (GBDT, GBRT, GBM), Random Forest and Adaboost w/categorical features support for Python

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

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

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.

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

simple tutorial on Machine Learning with Scikitlearn

An Interactive Approach to Understanding Supervised Learning Algorithms

For extensive instructor led learning

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…

🚦 Declarative Finite-State Machines in Go

Misc Statistics and Machine Learning codes in R

Python code for common Machine Learning Algorithms

🍊 📊 💡 Orange: Interactive data analysis

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

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

🔥🌟《Machine Learning 格物志》: ML + DL + RL basic codes and notes by sklearn, PyTorch, TensorFlow, Keras & the most important, from scratch!💪 This repository is ALL You Need!

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

Machine Learning University: Decision Trees and Ensemble Methods

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

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

AIFAD - Automated Induction of Functions over Algebraic Data Types

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

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

Implementations of machine learning algorithm by Python 3

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

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

Machine learning for C# .Net

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

Repository for the AdaptiveRandomForest algorithm implemented in MOA 2016-04

Real time face landmarking using decision trees and NN autoencoders

Software for creating and analyzing decision trees.

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

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

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

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

java math expression parser is faster than JEP

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

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

Heatmap-integrated Decision Tree Visualizations

A Reproducible Workflow for Structural and Functional Connectome Ensemble Learning

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

Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams

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

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

This is the implementation of Sparse Projection Oblique Randomer Forest

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

An Interactive Approach to Understanding Deep Learning with Keras

c++ implementation of decision tree algorithm

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