Open Source Fast Scalable Machine Learning Platform For Smarter Applications: Deep Learning, Gradient Boosting & XGBoost, Random Forest, Generalized Linear Modeling (Logistic Regression, Elastic Net), K-Means, PCA, Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

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

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

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

A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.

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

A Julia machine learning framework

ML-Ensemble – high performance ensemble learning

A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.

Python package for stacking (machine learning technique)

A Python Toolbox for Machine Learning Model Combination

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

RMDL: Random Multimodel Deep Learning for Classification

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

A Python library for dynamic classifier and ensemble selection

Machine learning for C# .Net

The 2nd place Solution to the Youtube-8M Video Understanding Challenge by Team Monkeytyping (based on tensorflow)

Ensemble learning related books, papers, videos, and toolboxes

Federated Knowledge Extraction Framework

DeepSuperLearner - Python implementation of the deep ensemble algorithm

Unofficial Pytorch code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"

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

A Reproducible Workflow for Structural and Functional Connectome Ensemble Learning

Fully automatic brain tumour segmentation using Deep 3-D convolutional neural networks

ICDE'20 | A general & effective ensemble framework for imbalanced classification. | 泛用，高效，鲁棒的类别不平衡学习框架

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)

Dataflow Programming for Machine Learning in R

💪 🤔 Modern Super Learning using Pipelines

An automatic ensembler of machine learning models in python

Source code of the model used in Tensorflow Speech Recognition Challenge (https://www.kaggle.com/c/tensorflow-speech-recognition-challenge). The solution ranked in top 5% in private leaderboard.