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

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 code for common Machine Learning Algorithms

🍊 📊 💡 Orange: Interactive data analysis https://orange.biolab.si

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.).

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

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

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

Text Classification Algorithms: A Survey

gesture recognition toolkit

A curated list of data mining papers about fraud detection.

A curated list of gradient boosting research papers with implementations.

ThunderGBM: Fast GBDTs and Random Forests on GPUs

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

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

Machine learning for C# .Net

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

Small JavaScript implementation of ID3 Decision tree

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

A fast and easy to use decision tree learner in java

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

InfiniteBoost: building infinite ensembles with gradient descent

several methods for text classification

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

텐서플로우와 머신러닝으로 시작하는 자연어처리(로지스틱회귀부터 트랜스포머 챗봇까지)

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