🍊 📊 💡 Orange: Interactive data analysis
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Updated
Jul 12, 2025 - Python
🍊 📊 💡 Orange: Interactive data analysis
Text Classification Algorithms: A Survey
A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models in Keras.
Making decision trees competitive with neural networks on CIFAR10, CIFAR100, TinyImagenet200, Imagenet
Visualize decision trees in Python
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
Compiler for LightGBM gradient-boosted trees, based on LLVM. Speeds up prediction by ≥10x.
🔥🌟《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!
Simple machine learning library / 簡單易用的機器學習套件
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)
Stakeholder-Specific Vulnerability Categorization
Objective of the repository is to learn and build machine learning models using Pytorch. 30DaysofML Using Pytorch
A Reproducible Workflow for Structural and Functional Connectome Ensemble Learning
A python implementation of C4.5 algorithm by R. Quinlan
ProtoTrees: Neural Prototype Trees for Interpretable Fine-grained Image Recognition, published at CVPR2021
Python package for tackling multi-class imbalance problems. http://www.cs.put.poznan.pl/mlango/publications/multiimbalance/
Fast Differentiable Forest lib with the advantages of both decision trees and neural networks
Small project to learn neuronal network with classifying some basic colors based on Decision Tree Classifier and webcam input
Corpus and a baseline neural network system for Named Entity Recognition in Hindi-English Code-Mixed social media text.
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