A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
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Updated
Jul 25, 2024 - Python
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
🍊 📊 💡 Orange: Interactive data analysis
Text Classification Algorithms: A Survey
This is the official implementation for the paper 'Deep forest: Towards an alternative to deep neural networks'
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.
A curated list of data mining papers about fraud detection.
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
Get started DVC project (NLP, random forest)
An Efficient, Scalable and Optimized Python Framework for Deep Forest (2021.2.1)
A curated list of gradient boosting research papers with implementations.
Handwritten Digit Recognition using Machine Learning and Deep Learning
🌲 Implementation of the Robust Random Cut Forest algorithm for anomaly detection on streams
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.
A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models in Keras.
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!
several methods for text classification
A project of using machine learning model (tree-based) to predict short-term instrument price up or down in high frequency trading.
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