decision-tree

Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.

python data-science machine-learning data-mining h2o gradient-boosting-machine transparency decision-tree fairness lime accountability interpretability interpretable-ai interpretable-ml xai fatml interpretable interpretable-machine-learning iml machine-learning-interpretability

UpdatedJun 17, 2024
Jupyter Notebook

Western-OC2-Lab /Intrusion-Detection-System-Using-Machine-Learning

Star477

Code for IDS-ML: intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGBoost, stacking, k-means, Bayesian optimization..)

machine-learning random-forest xgboost hyperparameter-optimization intrusion-detection lightgbm ensemble-learning kmeans autonomous-vehicles bayesian-optimization cyber-security decision-tree hpo network-security stacking intrusion-detection-system python-examples catboost cicids2017

UpdatedOct 13, 2023
Jupyter Notebook

seung-lab /connected-components-3d

Star407

Connected components on discrete and continuous multilabel 3D & 2D images. Handles 26, 18, and 6 connected variants; periodic boundaries (4, 8, & 6)

python algorithm cpp numpy cython image-processing neighborhood decision-tree 3d 2d biomedical-image-processing ccl union-find connected-components surface-area 3d-images path-compression cclabel labeling-algorithms periodic-boundary

UpdatedMar 4, 2025
C++

JuliaAI /DecisionTree.jl

Star356

Julia implementation of Decision Tree (CART) and Random Forest algorithms

machine-learning julia regression classification decision-tree random-forests

UpdatedSep 27, 2024
Julia

microsoft /Forge

Star295

A Generic Low-Code Framework Built on a Config-Driven Tree Walker

config microsoft ui csharp async roslyn dynamic forge workflow-engine generic decision-tree stateful low-code netstandard20 tree-visualization treewalker workflow-framework config-driven persisted-state

UpdatedJan 16, 2024
C#

lagodiuk /decision-tree-js

Star281

Small JavaScript implementation of ID3 Decision tree

machine-learning random-forest decision-tree

UpdatedJan 10, 2018
JavaScript

milaan9 /Python_Decision_Tree_and_Random_Forest

Star261

I've demonstrated the working of the decision tree-based ID3 algorithm. Use an appropriate data set for building the decision tree and apply this knowledge to classify a new sample. All the steps have been explained in detail with graphics for better understanding.

graphviz random-forest decision-tree decision-tree-classifier python4beginner decision-tree-algorithm id3-algorithm python-decisiontreeclassifier iris-classification cart-algorithm decision-tree-classification decision-tree-id3 python-tutorial-notebook python4everybody python-tutorial-github python4datascience python-decision-tree decision-tree-playgolf tutor-milaan9 dtreeviz

UpdatedDec 9, 2022
Jupyter Notebook

sanity /quickml

Star232

A fast and easy to use decision tree learner in java

java machine-learning random-forest decision-tree

UpdatedMay 20, 2022
Java

fengyang95 /tiny_ml

Star231

numpy 实现的周志华《机器学习》书中的算法及其他一些传统机器学习算法

machine-learning clustering numpy svm regression python3 classification gbdt ensemble decision-tree dimension-reduction boosting lr

UpdatedDec 6, 2019
Python

harunurrashid97 /100-Days-Of-ML-Code

Star227

A day to day plan for this challenge. Covers both theoritical and practical aspects

python data-science machine-learning article linear-regression exploratory-data-analysis machine-learning-algorithms eda tutorials datascience data-preprocessing implementation decision-tree 100-days-of-code infographics regression-algorithms textsummarization siraj-raval-challenge vizualization 100daysofmlcode

UpdatedFeb 6, 2023
Jupyter Notebook

Evovest /EvoTrees.jl

Star184

Boosted trees in Julia

machine-learning julia regression logistic quantile gbrt poisson decision-tree boosted-trees gradientboosting gradient-boosting

UpdatedMar 22, 2025
Julia

STMicroelectronics /STMems_Machine_Learning_Core

Star184

Configuration files, examples and tools for the Machine Learning Core feature (MLC) available in STMicroelectronics MEMS sensors. Some examples of devices including MLC: LSM6DSOX, LSM6DSRX, ISM330DHCX, IIS2ICLX, LSM6DSO32X, ASM330LHHX, LSM6DSV16X, LIS2DUX12, LIS2DUXS12, LSM6DSV16BX, ASM330LHHXG1, LSM6DSV32X

machine-learning decision-tree mlc stmicroelectronics lsm6dsox mems-sensors lsm6dsrx ism330dhcx iis2iclx lsm6dso32x asm330lhhx lsm6dsv16x lis2dux12 lis2duxs12 lsm6dsv16bx asm330lhhxg1 lsm6dsv32x