Fast and Accurate ML in 3 Lines of Code

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

Robocop is a prototype Ensemble model-powered Intrusion Detection System for IoT devices with automated incident triage and containment.

Metro Sea 2024 research projecct repository

A Julia machine learning framework

A collection of 8 Applied Data Science projects.

A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convol…

AIML Projects

Reward Penalty Weighted Ensemble approach for multimodal data stream classification

Sample codes regarding the research paper titled "A robust encoder decoder based weighted segmentation and dual staged feature fusion based meta classification for breast cancer utilizing ultrasound imaging".

This project focuses on predicting epileptic seizures using EEG signals and ensemble learning techniques. It aims to provide accurate and timely predictions to help individuals with epilepsy manage their condition more effectively.

Detection of Human Edited Images using CNN, VGG16, Xception, ELA, Ensemble Learning.

A repository contains more than 12 common statistical machine learning algorithm implementations. 常见机器学习算法原理与实现

This project employs ensemble learning methods to forecast cybercrime rates, utilizing datasets with population, internet subscriptions, and crime incidents. By analyzing trends and employing metrics like R2 Score and Mean Squared Error, it aims to enhance prediction accuracy and provide insights for effective prevention strategies.

A package that makes it trivial to create and evaluate machine learning pipeline architectures.

An Image Classification project w/ MobileNetV2 and DenseNet-121. Leveraging techniques like Hyperparameter Tuning, Transfer Learning, Imagine Preprocessing Techniques and Ensemble Methods.

A collection of AI and ML projects demonstrating various techniques, algorithms, and applications.

Project of analysis for credit card transactions, e.g. predictions of overdue risk, clustering of customer value. Real financial data and different machine learning methods applied.