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

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

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.

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

A scalable python-based framework for gene regulatory network inference using tree-based ensemble regressors.

Machine learning for C# .Net

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

Repository for the AdaptiveRandomForest algorithm implemented in MOA 2016-04

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)

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

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

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

subsemble R package for ensemble learning on subsets of data

Top 1% rankings (22/3270) code sharing for Kaggle competition Sberbank Russian Housing Market: https://www.kaggle.com/c/sberbank-russian-housing-market

Merlion: A Machine Learning Framework for Time Series Intelligence

Supervised Classification of bird species 🐦 in high resolution images, especially for, Himalayan birds, having diverse species with fairly low amount of labelled data

Python for《Deep Learning》，该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现

(BOW, TF-IDF, Word2Vec, BERT) Word Embeddings + (SVM, Naive Bayes, Decision Tree, Random Forest) Base Classifiers + Pre-trained BERT on Tensorflow Hub + 1-D CNN and Bi-Directional LSTM on IMDB Movie Reviews Dataset

A full pipeline AutoML tool for tabular data

Machine learning toolkits with Python

Solution of the Titanic Kaggle competition

A curated list of awesome imbalanced learning papers, codes, frameworks, and libraries. | 类别不平衡学习：论文、代码、框架与库

AutoGluon: AutoML for Text, Image, and Tabular Data

Generative Forests in Python

Predicting the winner of 2019 cricket world cup using random forest algorithm

kgpml.github.io/deep-vessel/

simple tutorial on Machine Learning with Scikitlearn

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

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

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

💪 🤔 Modern Super Learning with Machine Learning Pipelines

RMDL: Random Multimodel Deep Learning for Classification

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

Deep and Machine Learning for Microscopy

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

Machine Learning University: Decision Trees and Ensemble Methods

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

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…

A Python library for dynamic classifier and ensemble selection

Online machine learning methods

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

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

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

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

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

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

Jupyter Notebooks and miscellaneous

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

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

Visualizes the Random Forest debug string from the MLLib in Spark using D3.js

Nonparametric estimators of the average treatment effect with doubly-robust confidence intervals and hypothesis tests

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

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

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.

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".

Random Forests for Density Estimation in Python

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

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

bitcoin prediction algorithms

Generalized Random Forests

Machine Learning library for the web and Node.