A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
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Updated
Jun 29, 2024 - Python
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
🍊 📊 💡 Orange: Interactive data analysis
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
A collection of research papers on decision, classification and regression trees with implementations.
Text Classification Algorithms: A Survey
A curated list of data mining papers about fraud detection.
This is the official implementation for the paper 'Deep forest: Towards an alternative to deep neural networks'
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
A curated list of gradient boosting research papers with implementations.
An Efficient, Scalable and Optimized Python Framework for Deep Forest (2021.2.1)
A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models in Keras.
Fast SHAP value computation for interpreting tree-based models
🌲 Implementation of the Robust Random Cut Forest algorithm for anomaly detection on streams
Machine Learning inference engine for Microcontrollers and Embedded devices
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
🔥🌟《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!
Multiple Imputation with LightGBM in Python
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.
The official implementation of "The Shapley Value of Classifiers in Ensemble Games" (CIKM 2021).
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