152 Open source projects that are alternatives of or similar to Deep Forest

Targeted Learning for Survival Analysis

Vídeos e códigos do Universo Discreto ensinando o fundamental de Machine Learning em Python. Para mais detalhes, acompanhar a playlist listada.

It's a github repo star predictor that tries to predict the stars of any github repository having greater than 100 stars.

💪 🤔 Modern Super Learning with Machine Learning Pipelines

In this work, we propose a deterministic version of Local Interpretable Model Agnostic Explanations (LIME) and the experimental results on three different medical datasets shows the superiority for Deterministic Local Interpretable Model-Agnostic Explanations (DLIME).

RMDL: Random Multimodel Deep Learning for Classification

Receipt.ID is a multi-label, multi-class, hierarchical classification system implemented in a two layer feed forward network.

🌳 Stacked Gradient Boosting Machines

Classifies genes as an oncogene, tumor suppressor gene, or as a non-driver gene by using Random Forests

python library implementing ensemble methods for regression, classification and visualisation tools including Voronoi tesselations.

Deep and Machine Learning for Microscopy

Transfer Learning with DCNNs (DenseNet, Inception V3, Inception-ResNet V2, VGG16) for skin lesions classification

(AAAI' 20) A Python Toolbox for Machine Learning Model Combination

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

Machine Learning University: Decision Trees and Ensemble Methods

Machine Learning library written in Python and NumPy.

An efficient open-source AutoML system for automating machine learning lifecycle, including feature engineering, neural architecture search, and hyper-parameter tuning.

Heart Disease prediction using 5 algorithms

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…

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

A Python library for dynamic classifier and ensemble selection

Class-imbalanced / Long-tailed ensemble learning in Python. Modular, flexible, and extensible. | 模块化、灵活、易扩展的类别不平衡/长尾机器学习库

Online machine learning methods

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

This repository is the PyTorch implementation of GAN Ensemble for Anomaly Detection.

Building Decision Trees From Scratch In Python

An efficient open-source AutoML system for automating machine learning lifecycle, including feature engineering, neural architecture search, and hyper-parameter tuning.

🍊 📊 💡 Orange: Interactive data analysis

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

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

Master's degree project: Development of a trading algorithm which uses supervised machine learning classification techniques to generate buy/sell signals

InfiniteBoost: building infinite ensembles with gradient descent

A unified ensemble framework for PyTorch to improve the performance and robustness of your deep learning model.

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

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

🔥🌟《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!

Text Classification Algorithms: A Survey

Machine Learning inference engine for Microcontrollers and Embedded devices

Efficient Online Transfer Learning for 3D Object Detection in Autonomous Driving

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.).

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

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

This is the implementation of Sparse Projection Oblique Randomer Forest

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

随机森林，Random Forest（RF）

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提取特征，svm或者随机森林等进行分类，模型蒸馏，一个完整的代码

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

Fully supervised binary classification of skin lesions from dermatoscopic images using an ensemble of diverse CNN architectures (EfficientNet-B6, Inception-V3, SEResNeXt-101, SENet-154, DenseNet-169) with multi-scale input.

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

This repo is intended to support replication and exploration of the analysis undertaken for our Urban Studies article "Understanding urban gentrification through Machine Learning: Predicting neighbourhood change in London".

bitcoin prediction algorithms

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

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

Using LSTM network for time series forecasting

Ruby Scoring API for PMML

Generalized Random Forests

Machine Learning library for the web and Node.

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

Python code for common Machine Learning Algorithms

A Unified Framework for Random Forest Prediction Error Estimation