microsoft/LightGBM

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

Language: C++ - Size: 22.6 MB - Last synced at: 5 days ago - Pushed at: 11 days ago - Stars: 17,129 - Forks: 3,875

catboost/catboost

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

Language: C++ - Size: 1.66 GB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 8,356 - Forks: 1,215

biolab/orange3

🍊 :bar_chart: :bulb: Orange: Interactive data analysis

Language: Python - Size: 98 MB - Last synced at: 7 days ago - Pushed at: 16 days ago - Stars: 5,106 - Forks: 1,049

greyhatguy007/Machine-Learning-Specialization-Coursera

Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG

Language: Jupyter Notebook - Size: 38.1 MB - Last synced at: 12 days ago - Pushed at: 7 months ago - Stars: 5,017 - Forks: 2,945

susanli2016/Machine-Learning-with-Python

Python code for common Machine Learning Algorithms

Language: Jupyter Notebook - Size: 58 MB - Last synced at: 2 days ago - Pushed at: about 1 year ago - Stars: 4,417 - Forks: 4,820

tirthajyoti/Machine-Learning-with-Python

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

Language: Jupyter Notebook - Size: 96.7 MB - Last synced at: 7 days ago - Pushed at: almost 2 years ago - Stars: 3,191 - Forks: 1,821

parrt/dtreeviz

A python library for decision tree visualization and model interpretation.

Language: Jupyter Notebook - Size: 187 MB - Last synced at: about 6 hours ago - Pushed at: about 1 month ago - Stars: 3,044 - Forks: 339

kk7nc/Text_Classification

Text Classification Algorithms: A Survey

Language: Python - Size: 13.8 MB - Last synced at: 10 days ago - Pushed at: 20 days ago - Stars: 1,810 - Forks: 543

edyoda/data-science-complete-tutorial

For extensive instructor led learning

Language: Jupyter Notebook - Size: 54.9 MB - Last synced at: 6 days ago - Pushed at: over 2 years ago - Stars: 1,804 - Forks: 762

justmarkham/DAT8

General Assembly's 2015 Data Science course in Washington, DC

Language: Jupyter Notebook - Size: 23 MB - Last synced at: 6 days ago - Pushed at: 11 months ago - Stars: 1,612 - Forks: 1,066

nivu/ai_all_resources

A curated list of Best Artificial Intelligence Resources

Language: Jupyter Notebook - Size: 19.1 MB - Last synced at: 19 days ago - Pushed at: 7 months ago - Stars: 1,181 - Forks: 276

tensorflow/decision-forests

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

Language: Python - Size: 5.87 MB - Last synced at: 10 days ago - Pushed at: 10 days ago - Stars: 676 - Forks: 113

alvinwan/neural-backed-decision-trees

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

Language: Python - Size: 2.57 MB - Last synced at: 6 months ago - Pushed at: almost 2 years ago - Stars: 606 - Forks: 130

google/yggdrasil-decision-forests

A library to train, evaluate, interpret, and productionize decision forest models such as Random Forest and Gradient Boosted Decision Trees.

Language: C++ - Size: 39.7 MB - Last synced at: about 21 hours ago - Pushed at: 4 days ago - Stars: 562 - Forks: 59

mljar/supertree

Visualize decision trees in Python

Language: Python - Size: 38.7 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 481 - Forks: 14

serengil/chefboost

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

Language: Python - Size: 1.09 MB - Last synced at: 9 days ago - Pushed at: 20 days ago - Stars: 472 - Forks: 101

dmitryikh/leaves

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

Language: Go - Size: 1.22 MB - Last synced at: 5 months ago - Pushed at: 10 months ago - Stars: 432 - Forks: 72

siboehm/lleaves

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

Language: Python - Size: 4.74 MB - Last synced at: 7 days ago - Pushed at: 5 months ago - Stars: 412 - Forks: 33

Skylark0924/Machine-Learning-is-ALL-You-Need

🔥🌟《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!

Language: Python - Size: 72.8 MB - Last synced at: 15 days ago - Pushed at: over 1 year ago - Stars: 407 - Forks: 94

mdabros/SharpLearning

Machine learning for C# .Net

Language: C# - Size: 4.04 MB - Last synced at: 1 day ago - Pushed at: about 1 month ago - Stars: 393 - Forks: 86

RGF-team/rgf

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.

Language: C++ - Size: 5.25 MB - Last synced at: 10 days ago - Pushed at: over 3 years ago - Stars: 381 - Forks: 58

cerlymarco/linear-tree

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

Language: Jupyter Notebook - Size: 5.92 MB - Last synced at: 6 months ago - Pushed at: 9 months ago - Stars: 355 - Forks: 54

jmartinezheras/2018-MachineLearning-Lectures-ESA

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

Language: Jupyter Notebook - Size: 58.3 MB - Last synced at: 5 months ago - Pushed at: over 1 year ago - Stars: 353 - Forks: 145

jayshah19949596/Machine-Learning-Models

Decision Trees, Random Forest, Dynamic Time Warping, Naive Bayes, KNN, Linear Regression, Logistic Regression, Mixture Of Gaussian, Neural Network, PCA, SVD, Gaussian Naive Bayes, Fitting Data to Gaussian, K-Means

Language: Matlab - Size: 4.88 MB - Last synced at: over 1 year ago - Pushed at: almost 8 years ago - Stars: 291 - Forks: 143

fukuball/fuku-ml

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

Language: Python - Size: 3.42 MB - Last synced at: 15 days ago - Pushed at: almost 3 years ago - Stars: 282 - Forks: 74

RuleBasedIntegration/Rubi

Rubi for Mathematica

Language: Mathematica - Size: 28.8 MB - Last synced at: about 1 month ago - Pushed at: about 1 year ago - Stars: 244 - Forks: 26

aws-samples/aws-machine-learning-university-dte

Machine Learning University: Decision Trees and Ensemble Methods

Language: Jupyter Notebook - Size: 26.4 MB - Last synced at: 5 months ago - Pushed at: 7 months ago - Stars: 239 - Forks: 91

arnaldog12/Machine_Learning

Estudo e implementação dos principais algoritmos de Machine Learning em Jupyter Notebooks.

Language: Jupyter Notebook - Size: 6.83 MB - Last synced at: 20 days ago - Pushed at: almost 3 years ago - Stars: 221 - Forks: 62

rolkra/explore

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

Language: R - Size: 48.6 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 212 - Forks: 23

CynthiaKoopman/Network-Intrusion-Detection

Machine Learning with the NSL-KDD dataset for Network Intrusion Detection

Language: Jupyter Notebook - Size: 2.44 MB - Last synced at: over 1 year ago - Pushed at: about 5 years ago - Stars: 206 - Forks: 87

dlab-berkeley/Machine-Learning-in-R 📦

Workshop (6 hours): preprocessing, cross-validation, lasso, decision trees, random forest, xgboost, superlearner ensembles

Language: CSS - Size: 21.9 MB - Last synced at: 5 months ago - Pushed at: about 4 years ago - Stars: 190 - Forks: 72

milaan9/Machine_Learning_Algorithms_from_Scratch

This repository explores the variety of techniques and algorithms commonly used in machine learning and the implementation in MATLAB and PYTHON.

Language: Jupyter Notebook - Size: 5.07 MB - Last synced at: 13 days ago - Pushed at: over 2 years ago - Stars: 189 - Forks: 179

quocviethere/Coursera-Machine-Learning-Specialization

2022 Coursera Machine Learning Specialization Optional Labs and Programming Assignments

Language: Jupyter Notebook - Size: 6.8 MB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 183 - Forks: 139

rojaAchary/30-Days-of-ML-Kaggle

Machine learning beginner to Kaggle competitor in 30 days. Non-coders welcome. The program starts Monday, August 2, and lasts four weeks. It's designed for people who want to learn machine learning.

Language: Jupyter Notebook - Size: 35.1 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 168 - Forks: 58

MBKraus/Predicting_real_estate_prices_using_scikit-learn

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)

Language: Python - Size: 870 KB - Last synced at: over 1 year ago - Pushed at: about 6 years ago - Stars: 142 - Forks: 51

cpfair/quran-tajweed

Tajweed annotation for the Qur'an

Language: Python - Size: 1.9 MB - Last synced at: 15 days ago - Pushed at: over 3 years ago - Stars: 137 - Forks: 51

psaris/funq

Source files for "Fun Q: A Functional Introduction to Machine Learning in Q"

Language: q - Size: 695 KB - Last synced at: 6 months ago - Pushed at: over 1 year ago - Stars: 136 - Forks: 51

SilverDecisions/SilverDecisions

Software for creating and analyzing decision trees.

Language: JavaScript - Size: 207 MB - Last synced at: 10 days ago - Pushed at: about 2 years ago - Stars: 128 - Forks: 42

michaeldorner/DecisionTrees

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

Language: TeX - Size: 24.7 MB - Last synced at: 10 days ago - Pushed at: over 8 years ago - Stars: 128 - Forks: 56

dPys/PyNets

A Reproducible Workflow for Structural and Functional Connectome Ensemble Learning

Language: Python - Size: 1010 MB - Last synced at: 6 days ago - Pushed at: about 1 year ago - Stars: 123 - Forks: 41

Mayurji/MLWithPytorch

Objective of the repository is to learn and build machine learning models using Pytorch. 30DaysofML Using Pytorch

Language: Python - Size: 868 KB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 122 - Forks: 37

CERTCC/SSVC

Stakeholder-Specific Vulnerability Categorization

Language: Python - Size: 6.54 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 108 - Forks: 34

sylvaticus/BetaML.jl

Beta Machine Learning Toolkit

Language: Julia - Size: 33.3 MB - Last synced at: 6 days ago - Pushed at: 3 months ago - Stars: 98 - Forks: 13

neurodata/SPORF

This is the implementation of Sparse Projection Oblique Randomer Forest

Language: C++ - Size: 108 MB - Last synced at: 1 day ago - Pushed at: 12 months ago - Stars: 98 - Forks: 45

Gurpartap/statemachine-go

🚦 Declarative Finite-State Machines in Go

Language: Go - Size: 107 KB - Last synced at: 5 months ago - Pushed at: over 1 year ago - Stars: 98 - Forks: 19

asafschers/goscore

Go Scoring API for PMML

Language: Go - Size: 136 KB - Last synced at: 9 months ago - Pushed at: over 5 years ago - Stars: 97 - Forks: 22

barisesmer/C4.5

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

Language: Python - Size: 803 KB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 96 - Forks: 77

CN-TU/machine-learning-in-ebpf

This repository contains the code for the paper "A flow-based IDS using Machine Learning in eBPF", Contact: Maximilian Bachl

Language: C - Size: 542 KB - Last synced at: 25 days ago - Pushed at: about 1 year ago - Stars: 95 - Forks: 6

M-Nauta/ProtoTree

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

Language: Python - Size: 870 KB - Last synced at: 5 months ago - Pushed at: almost 3 years ago - Stars: 90 - Forks: 19

s-marton/GRANDE

(ICLR 2024) GRANDE: Gradient-Based Decision Tree Ensembles

Language: Jupyter Notebook - Size: 9.74 MB - Last synced at: 2 days ago - Pushed at: 27 days ago - Stars: 89 - Forks: 9

yliang725/Anomaly-Detection-IoT23

A research project of anomaly detection on dataset IoT-23

Language: Jupyter Notebook - Size: 331 KB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 80 - Forks: 33

zju-vipa/awesome-neural-trees

Introduction, selected papers and possible corresponding codes in our review paper "A Survey of Neural Trees"

Size: 1.66 MB - Last synced at: 6 days ago - Pushed at: over 2 years ago - Stars: 79 - Forks: 9

predict-idlab/GENESIM

[DEPRECATED] An innovative technique that constructs an ensemble of decision trees and converts this ensemble into a single, interpretable decision tree with an enhanced predictive performance

Language: Scilab - Size: 3.87 MB - Last synced at: 30 days ago - Pushed at: over 4 years ago - Stars: 79 - Forks: 14

neurodata/treeple

Scikit-learn compatible decision trees beyond those offered in scikit-learn

Language: Jupyter Notebook - Size: 128 MB - Last synced at: 7 days ago - Pushed at: 13 days ago - Stars: 78 - Forks: 17

damianhorna/multi-imbalance

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

Language: Python - Size: 66 MB - Last synced at: 6 days ago - Pushed at: 11 months ago - Stars: 77 - Forks: 11

closest-git/QuantumForest

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

Language: Python - Size: 2.35 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 77 - Forks: 19

xiangwang1223/tree_enhanced_embedding_model

TEM: Tree-enhanced Embedding Model for Explainable Recommendation, WWW2018

Size: 32.3 MB - Last synced at: about 2 months ago - Pushed at: almost 6 years ago - Stars: 76 - Forks: 15

TomaszRewak/Face-Landmarking

Real time face landmarking using decision trees and NN autoencoders

Language: C++ - Size: 24.3 MB - Last synced at: 19 days ago - Pushed at: about 6 years ago - Stars: 70 - Forks: 6

chenhongge/RobustTrees

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

Language: C++ - Size: 6.59 MB - Last synced at: 24 days ago - Pushed at: over 2 years ago - Stars: 67 - Forks: 11

JCVenterInstitute/NSForest

A machine learning method for the discovery of the minimum marker gene combinations for cell type identification from single-cell RNA sequencing

Language: HTML - Size: 57.7 MB - Last synced at: 18 days ago - Pushed at: 18 days ago - Stars: 60 - Forks: 21

trangdata/treeheatr

Heatmap-integrated Decision Tree Visualizations

Language: R - Size: 41.6 MB - Last synced at: 10 months ago - Pushed at: almost 2 years ago - Stars: 55 - Forks: 13

michtesar/color_recognizer

Small project to learn neuronal network with classifying some basic colors based on Decision Tree Classifier and webcam input

Language: Python - Size: 71.3 MB - Last synced at: about 2 years ago - Pushed at: over 7 years ago - Stars: 55 - Forks: 15

ubc-systopia/gosdt-guesses Fork of Jimmy-Lin/GeneralizedOptimalSparseDecisionTrees

Generalized Optimal Sparse Decision Trees

Language: C++ - Size: 4.47 MB - Last synced at: 10 days ago - Pushed at: about 1 month ago - Stars: 54 - Forks: 17

hecoding/Pac-Man

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

Language: Java - Size: 29.7 MB - Last synced at: over 1 year ago - Pushed at: over 7 years ago - Stars: 52 - Forks: 15

PacktWorkshops/The-Deep-Learning-with-Keras-Workshop

An Interactive Approach to Understanding Deep Learning with Keras

Language: Jupyter Notebook - Size: 229 MB - Last synced at: 5 days ago - Pushed at: over 2 years ago - Stars: 51 - Forks: 91

tristaneljed/Decision-Tree-Visualization-Spark

🌲 Decision Tree Visualization for Apache Spark

Language: JavaScript - Size: 118 KB - Last synced at: over 1 year ago - Pushed at: almost 6 years ago - Stars: 50 - Forks: 22

bowbowbow/DecisionTree

c++ implementation of decision tree algorithm

Language: C++ - Size: 23.4 KB - Last synced at: about 1 year ago - Pushed at: about 5 years ago - Stars: 49 - Forks: 21

ammarmahmood1999/HeartHealthPrediction

The major reason for the death in worldwide is the heart disease in high and low developed countries. The data scientist uses distinctive machine learning techniques for modeling health diseases by using authentic dataset efficiently and accurately. The medical analysts are needy for the models or systems to predict the disease in patients before the strike. High cholesterol, unhealthy diet, harmful use of alcohol, high sugar levels, high blood pressure, and smoking are the main symptoms of chances of the heart attack in humans. Data Science is an advanced and enhanced method for the analysis and encapsulation of useful information. The attributes and variable in the dataset discover an unknown and future state of the model using prediction in machine learning. Chest pain, blood pressure, cholesterol, blood sugar, family history of heart disease, obesity, and physical inactivity are the chances that influence the possibility of heart diseases. This project emphasizes to evaluate different algorithms for the diagnosis of heart disease with better accuracies by using the patient’s data set because predictions and descriptions are fundamental objectives of machine learning. Each procedure has unique perspective for the modeling objectives. Algorithms have been implemented for the prediction of heart disease with our Heart patient data set

Language: Jupyter Notebook - Size: 1.09 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 46 - Forks: 29

heliphix/btc_data

This repository contains the code and datasets for creating the machine learning models in the research paper titled "Time-series forecasting of Bitcoin prices using high-dimensional features: a machine learning approach"

Language: Jupyter Notebook - Size: 13.2 MB - Last synced at: over 1 year ago - Pushed at: about 3 years ago - Stars: 45 - Forks: 29

SilentFlame/Named-Entity-Recognition

Corpus and a baseline neural network system for Named Entity Recognition in Hindi-English Code-Mixed social media text.

Language: Python - Size: 29.2 MB - Last synced at: 13 days ago - Pushed at: over 4 years ago - Stars: 45 - Forks: 16

tirthajyoti/R-stats-machine-learning

Misc Statistics and Machine Learning codes in R

Language: R - Size: 2.02 MB - Last synced at: 1 day ago - Pushed at: about 4 years ago - Stars: 42 - Forks: 30

arasgungore/chess-bot

A C++ project in which you can play chess against an AI that uses alpha-beta pruning to predict the optimal move.

Language: C++ - Size: 8.11 MB - Last synced at: about 1 month ago - Pushed at: about 2 years ago - Stars: 41 - Forks: 7

marcotav/supervised-machine-learning

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 Lasso and Ridge regressions.

Language: Jupyter Notebook - Size: 8.83 MB - Last synced at: over 1 year ago - Pushed at: about 5 years ago - Stars: 41 - Forks: 19

hmgomes/AdaptiveRandomForest

Repository for the AdaptiveRandomForest algorithm implemented in MOA 2016-04

Language: Java - Size: 53.4 MB - Last synced at: 12 days ago - Pushed at: over 7 years ago - Stars: 41 - Forks: 10

pritom007/Network-Traffic-Classification

Language: Jupyter Notebook - Size: 13.8 MB - Last synced at: 17 days ago - Pushed at: over 3 years ago - Stars: 38 - Forks: 10

MukundAabha/Data_Science_ML_DL_NLP_Interview_Qus

Data Science, Machine Learning, Deep Learning, NLP, Python & Library's cheat Sheet - Interview Questions & Notes

Size: 76.7 MB - Last synced at: almost 2 years ago - Pushed at: about 4 years ago - Stars: 38 - Forks: 13

Puneet2000/In-Depth-ML

In depth machine learning resources

Language: Jupyter Notebook - Size: 130 MB - Last synced at: over 1 year ago - Pushed at: over 6 years ago - Stars: 38 - Forks: 16

Elhamkesh/Breast-Cancer-Scikitlearn

simple tutorial on Machine Learning with Scikitlearn

Language: Jupyter Notebook - Size: 140 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 37 - Forks: 31

neurodata/ProgLearn

NeuroData's package for exploring and using progressive learning algorithms

Language: Jupyter Notebook - Size: 374 MB - Last synced at: 8 days ago - Pushed at: about 1 month ago - Stars: 36 - Forks: 42

krpiyush5/Amazon-Fine-Food-Review

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

Language: Jupyter Notebook - Size: 7.84 MB - Last synced at: over 1 year ago - Pushed at: over 5 years ago - Stars: 36 - Forks: 26

alyakhtar/AQI-Delhi

Predicting air pollution level in a specific city

Language: Python - Size: 2.87 MB - Last synced at: 6 months ago - Pushed at: almost 9 years ago - Stars: 36 - Forks: 15

sbesada/java.math.expression.parser

java math expression parser is faster than JEP

Language: Java - Size: 89.8 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 35 - Forks: 7

VuBacktracking/Coursera-Machine-Learning-Specialization

Contains Optional Labs and Solutions of Programming Assignment for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2023) by Prof. Andrew NG

Language: Jupyter Notebook - Size: 35.4 MB - Last synced at: 8 days ago - Pushed at: over 1 year ago - Stars: 35 - Forks: 18

rishiraj/autolgbm

LightGBM + Optuna: Auto train LightGBM directly from CSV files, Auto tune them using Optuna, Auto serve best model using FastAPI. Inspired by Abhishek Thakur's AutoXGB.

Language: Python - Size: 1.06 MB - Last synced at: 28 days ago - Pushed at: about 3 years ago - Stars: 35 - Forks: 5

Moeinh77/IBM-final-project-Machine-Learning

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

Language: Jupyter Notebook - Size: 385 KB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 34 - Forks: 96

Zebbeni/protozoa

A simulation of protozoan behavior and evolution

Language: Go - Size: 4.34 MB - Last synced at: 2 days ago - Pushed at: about 1 year ago - Stars: 33 - Forks: 6

cschen1205/lua-ai

Implementation of machine learning and artificial intelligence algorithms in lua with demo using game bot

Language: Lua - Size: 266 KB - Last synced at: 15 days ago - Pushed at: almost 8 years ago - Stars: 33 - Forks: 10

StochasticTree/stochtree

Stochastic tree ensembles (BART / XBART) for supervised learning and causal inference

Language: C++ - Size: 40.6 MB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 31 - Forks: 11

aiff22/Decision-Stream

Clojure implementation of the paper "Decision Stream: Cultivating Deep Decision Trees"

Language: Clojure - Size: 34.2 MB - Last synced at: 19 days ago - Pushed at: about 7 years ago - Stars: 31 - Forks: 6

adityashrm21/Bike-Sharing-Demand-Kaggle

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

Language: R - Size: 6.84 KB - Last synced at: 15 days ago - Pushed at: about 7 years ago - Stars: 31 - Forks: 40

mmottl/aifad

AIFAD - Automated Induction of Functions over Algebraic Data Types

Language: OCaml - Size: 988 KB - Last synced at: 19 days ago - Pushed at: 3 months ago - Stars: 30 - Forks: 2

Nikeshbajaj/spkit

Signal Processing Toolkit, including ML models with visualization

Language: Python - Size: 60.6 MB - Last synced at: 7 days ago - Pushed at: 6 months ago - Stars: 30 - Forks: 28

njtierney/broomstick

:evergreen_tree: broom helpers for decision tree methods (rpart, randomForest, and more!) :evergreen_tree:

Language: R - Size: 88.9 KB - Last synced at: 17 days ago - Pushed at: over 1 year ago - Stars: 29 - Forks: 1

PacktWorkshops/The-Supervised-Learning-Workshop

An Interactive Approach to Understanding Supervised Learning Algorithms

Language: Jupyter Notebook - Size: 49.8 MB - Last synced at: 4 days ago - Pushed at: almost 3 years ago - Stars: 29 - Forks: 56

anishsingh20/Statistical-Learning-using-R

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.

Language: R - Size: 3.26 MB - Last synced at: about 2 years ago - Pushed at: about 7 years ago - Stars: 28 - Forks: 24

vladan-stojnic/ML-based-WAF

Simple machine learning based web application firewall (WAF) created in python

Language: Jupyter Notebook - Size: 16.8 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 27 - Forks: 10

Opt-Mucca/PySCIPOpt-ML

Python interface to automatically formulate Machine Learning models into Mixed-Integer Programs

Language: Python - Size: 2.54 MB - Last synced at: 8 days ago - Pushed at: about 2 months ago - Stars: 26 - Forks: 0

gagan-iitb/CS550

Machine Learning Course at IIT Bhilai

Language: Jupyter Notebook - Size: 568 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 26 - Forks: 45

StatMixedML/DGBM

Distributional Gradient Boosting Machines

Size: 169 KB - Last synced at: 26 days ago - Pushed at: over 2 years ago - Stars: 26 - Forks: 1

Azure/cortana-intelligence-customer360 📦

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

Language: Python - Size: 5.48 MB - Last synced at: 11 days ago - Pushed at: over 6 years ago - Stars: 26 - Forks: 20