This project aims to build a machine learning models to predict whether a tumor is malignant or benign based on the Breast Cancer dataset. Various classification algorithms are tested, including Logistic Regression, Random Forest, and Support Vector Machine (SVM).

This repository contains my work and learnings from a class on Intelligent Analytics. It contains works on Percetrons, Support Vector Machines, Deep Learning methods, Dimensionality Reduction, Decision Trees, Ensemble methods and so much more. It's for my continous learning on the subject

This project was made for the Machine Learning course at the AGH UST in 2024.

A foundational Haxe framework for cross-platform development

Repository for the journal article 'SHAMSUL: Systematic Holistic Analysis to investigate Medical Significance Utilizing Local interpretability methods in deep learning for chest radiography pathology prediction'

This project aims to develop the detection of fraudulent transactions in e-commerce using advanced machine learning techniques.It involves data analysis, preprocessing, feature engineering, model building, and deployment.The project includes API with Flask, containerization with Docker, and dashboards with Dash .

Qt-DAB, a general software DAB (DAB+) decoder with a (slight) focus on showing the signal

This repository contains my work and learnings from a class on Intelligent Analytics. It contains works on Percetrons, Support Vector Machines, Deep Learning methods, Dimensionality Reduction, Decision Trees, Ensemble methods and so much more. It's for my continous learning on the subject

Explaining black boxes with a SMILE: Statistical Mode-agnostic Interpretability with Local Explanations

C# LIME protocol implementation

🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models

The BEST discord raid tool that is FREE atm 🍋‍🟩 Stay lime!

An open source library for creative expression on the web, desktop, mobile and consoles. Inspired by the classic Flash and AIR APIs.

A toolbox that integrates and provides various length-based methods for small-scale fisheries assessment, offering enhanced features.

A platform that provides users with easy access to AI services developed by Montimage and usage of explainable AI techniques (e.g., LIME, SHAP).

This project aims to develop a machine learning-based predictive model to estimate the probability of default among credit card customers in Taiwan. The project also evaluates the model performance using advanced metrics like the Kolmogorov-Smirnov (K-S) statistic to ensure robust and actionable insights for financial decision-making.

This project includes a Jupyter Notebook that performs sentiment analysis using the BERT model, while also leveraging XAI (Explainable AI) techniques to make the model's results more transparent and easier to understand

Website for Lime operating system.

Imaginative Engine is an Engine heavily inspired off of Codename and Psych's modding support and a bit of V-Slice too I suppose.

Auto do tasks, chekin, tap, buy boost, upgrade boost.