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415 search results found

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

H2o 3 ⭐ 6,618

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

Orange3 ⭐ 4,469

🍊 📊 💡 Orange: Interactive data analysis

Flaml ⭐ 3,500

A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.

Machine Learning With Python ⭐ 2,980

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

Mljar Supervised ⭐ 2,867

Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation

Dtreeviz ⭐ 2,720

A python library for decision tree visualization and model interpretation.

Awesome Decision Tree Papers ⭐ 2,266

A collection of research papers on decision, classification and regression trees with implementations.

Benchm Ml ⭐ 1,839

A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).

Text_classification ⭐ 1,621

Text Classification Algorithms: A Survey

Awesome Fraud Detection Papers ⭐ 1,364

A curated list of data mining papers about fraud detection.

Gcforest ⭐ 1,242

This is the official implementation for the paper 'Deep forest: Towards an alternative to deep neural networks'

Pytorch_classification ⭐ 1,055

利用pytorch实现图像分类的一个完整的代码，训练，预测，TTA，模型融合，模型部署，cnn提取特

Hyperparameter Optimization Of Machine Learning Algorithms ⭐ 1,025

Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)

SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization

Awesome Gradient Boosting Papers ⭐ 930

A curated list of gradient boosting research papers with implementations.

Generalized Random Forests

Deep Forest ⭐ 823

An Efficient, Scalable and Optimized Python Framework for Deep Forest (2021.2.1)

gesture recognition toolkit

Thundergbm ⭐ 674

ThunderGBM: Fast GBDTs and Random Forests on GPUs

Ai_all_resources ⭐ 647

A curated list of Best Artificial Intelligence Resources

Decision Forests ⭐ 635

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

Machinelearnjs ⭐ 532

Machine Learning library for the web and Node.

Fasttreeshap ⭐ 485

Fast SHAP value computation for interpreting tree-based models

🌲 Implementation of the Robust Random Cut Forest algorithm for anomaly detection on streams

Chefboost ⭐ 428

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

Random Forest Importances ⭐ 407

Code to compute permutation and drop-column importances in Python scikit-learn models

Yggdrasil Decision Forests ⭐ 403

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

User Machine Learning Tutorial ⭐ 386

useR! 2016 Tutorial: Machine Learning Algorithmic Deep Dive http://user2016.org/tutorials/10.html

Sharplearning ⭐ 372

Machine learning for C# .Net

Machine Learning Is All You Need ⭐ 337

🔥🌟《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!

Emlearn ⭐ 327

Machine Learning inference engine for Microcontrollers and Embedded devices

Decisiontree.jl ⭐ 326

Julia implementation of Decision Tree (CART) and Random Forest algorithms

2018 Machinelearning Lectures Esa ⭐ 324

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

Handson Ml ⭐ 277

도서 "핸즈온 머신러닝"의 예제와 연습문제를 담은 주피터 노트북입니다.

Miceforest ⭐ 265

Multiple Imputation with LightGBM in Python

Linear Tree ⭐ 253

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

Intrusion Detection System Using Machine Learning ⭐ 248

Code for IDS-ML: intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGBoost, stacking, k-means, Bayesian optimization..)

The Python Workshop ⭐ 245

A New, Interactive Approach to Learning Python

Ml Projects ⭐ 243

ML based projects such as Spam Classification, Time Series Analysis, Text Classification using Random Forest, Deep Learning, Bayesian, Xgboost in Python

Decision Tree Js ⭐ 237

Small JavaScript implementation of ID3 Decision tree

An end-to-end machine learning and data mining framework on Hadoop

Randomforestexplainer ⭐ 226

A set of tools to understand what is happening inside a Random Forest

Shapley ⭐ 198

The official implementation of "The Shapley Value of Classifiers in Ensemble Games" (CIKM 2021).

P2Rank: Protein-ligand binding site prediction tool based on machine learning. Stand-alone command line program / Java library for predicting ligand binding pockets from protein structure.

Prophitbet Soccer Bets Predictor ⭐ 192

ProphitBet is a Machine Learning Soccer Bet prediction application. It analyzes the form of teams, computes match statistics and predicts the outcomes of a match using Advanced Machine Learning (ML) methods. The supported algorithms in this application are Neural Networks, Random Forests & Ensembl Models.

Python_decision_tree_and_random_forest ⭐ 184

I've demonstrated the working of the decision tree-based ID3 algorithm. Use an appropriate data set for building the decision tree and apply this knowledge to classify a new sample. All the steps have been explained in detail with graphics for better understanding.

Cudatree ⭐ 183

Building random forests on GPU

Aws Machine Learning University Dte ⭐ 177

Machine Learning University: Decision Trees and Ensemble Methods

Infiniteboost ⭐ 177

InfiniteBoost: building infinite ensembles with gradient descent

Machine_learning_algorithms_from_scratch ⭐ 164

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

Handwritten Digit Recognition Using Deep Learning ⭐ 158

Handwritten Digit Recognition using Machine Learning and Deep Learning

Tensorflow Ml Nlp ⭐ 157

텐서플로우와 머신러닝으로 시작하는 자연어처리(로지스틱회귀부터 트랜스포머 챗봇까지)

The Data Science Workshop ⭐ 156

A New, Interactive Approach to Learning Data Science

Textclassification ⭐ 153

several methods for text classification

Machine Learning In R ⭐ 144

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

Flight Price Prediction ⭐ 136

Now you can get Flight ticket fare with this wonderful end to end project.

Youtube Like Predictor ⭐ 126

YouTube Like Count Predictions using Machine Learning

Variantspark ⭐ 121

machine learning for genomic variants

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

Waterfall ⭐ 114

An easy to use waterfall chart function for Python

Compendium Of Free Ml Reading Resources ⭐ 106

Compendium of free ML reading resources

How To Score 0.8134 In Titanic Kaggle Challenge ⭐ 105

Solution of the Titanic Kaggle competition

This is the implementation of Sparse Projection Oblique Randomer Forest

Spatialrf ⭐ 87

R package to fit spatial models with Random Forest

Conformalized Quantile Regression

Network Intrusion Detection ⭐ 85

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

Stock Return Prediction Using Knn Svm Guassian Process Adaboost Tree Regression And Qda ⭐ 85

Forecast stock prices using machine learning approach. A time series analysis. Employ the Use of Predictive Modeling in Machine Learning to Forecast Stock Return. Approach Used by Hedge Funds to Select Tradeable Stocks

Betaml.jl ⭐ 83

Beta Machine Learning Toolkit

Machine Learning Models ⭐ 81

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

Bp Network ⭐ 71

Multi-Classification on dataset of MNIST

Quantile Forest ⭐ 70

Quantile Regression Forests compatible with scikit-learn.

Reforest ⭐ 69

Random Forests in Apache Spark

Ruby Scoring API for PMML

Covid19 Literature Clustering ⭐ 63

An approach to document exploration using Machine Learning. Let's cluster similar research articles together to make it easier for health professionals and researchers to find relevant research articles.

Top 10 Machine Learning Methods With R ⭐ 61

Includes top ten must know machine learning methods with R.

exploratory data analysis using random forests

Click Through Rate Prediction ⭐ 60

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

Predicting_real_estate_prices_using_scikit Learn ⭐ 59

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)

Ddos Attack Detection And Mitigation ⭐ 58

SDN networks (Software Defined Networking ) are exposed to new security threats and attacks, especially Distributed Denial of Service (DDoS) attacks. For this aim, we have proposed a model able to detect and mitigate attacks automatically in SDN networks using Machine Learning (ML)

Nowtrade ⭐ 57

Python library for backtesting technical/mechanical strategies in the stock and currency markets

Droiddetective ⭐ 56

A machine learning malware analysis framework for Android apps.

Reproduce Stock Market Direction Random Forests ⭐ 56

Reproduce research from paper "Predicting the direction of stock market prices using random forest"

This is the official implementation for the paper 'AutoEncoder by Forest'

Cl Random Forest ⭐ 55

Random forest in Common Lisp

Nimbus is a Ruby gem to implement Random Forest algorithms in a genomic selection context

Missranger ⭐ 53

R package "missRanger" for fast imputation of missing values by random forests.

Fifa World Cup Prediction ⭐ 53

Predict who will win the FIFA World Cup 2018

Random Forest Classifier ⭐ 53

A random forest classifier in Javascript.

Scikit Tree ⭐ 51

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

Random Survival Forest ⭐ 50

A Random Survival Forest implementation for python inspired by Ishwaran et al. - Easily understandable, adaptable and extendable.

Isl Python ⭐ 50

Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.

Cryptopredictions ⭐ 49

CryptoCurrency prediction using machine learning and deep learning

Randomforest ⭐ 49

Python implementation of a random forest for use with continuous value attributes

Heart_disease_prediction ⭐ 49

Heart Disease prediction using 5 algorithms

Fastrank ⭐ 48

My most frequently used learning-to-rank algorithms ported to rust for efficiency. Try it: "pip install fastrank".

25daysinmachinelearning ⭐ 48

I will update this repository to learn Machine learning with python with statistics content and materials

Treelearn ⭐ 47

Ensembles and Tree Learning Algorithms for Python

Go Scoring API for PMML

Aiml Projects ⭐ 44

Projects I completed as a part of Great Learning's PGP - Artificial Intelligence and Machine Learning

1-100 of 415 search results

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