data-to-paper: Backward-traceable AI-driven scientific research

Machine Learning for Computer Security

Tölvera is a creative medium inspired by artificial life and self-organising systems.

Interesting resources related to Explainable Artificial Intelligence, Interpretable Machine Learning, Interactive Machine Learning, Human in Loop and Visual Analytics.

RootPainter: Deep Learning Segmentation of Biological Images with Corrective Annotation

Peax is a tool for interactive visual pattern search and exploration in epigenomic data based on unsupervised representation learning with autoencoders

Tornado is an open source Human-in-the-loop machine learning tool. It helps you label your dataset on the fly while training your model through a simple web user interface. It supports all data types: structured, text and image.

An Interactive Machine Learning Toolkit

A system for building labeling tools

RootPainter3D: Interactive-machine-learning enables rapid and accurate contouring for radiotherapy

RapidLib is a lightweight library for interactive machine learning.

Personalized Training for the Sequence Learning task with the NAO robot and the MUSE EEG sensor

Interactive multimedia captioning with Keras

Data structures, algorithms and tools for rough sets, machine learning and data mining, including algorithms for discernibility matrix, reducts, decision rules, classification (KNN, NeuralNet, AQ15, RoughSet, RIONIDA, SVM, C4.5, and many others), discretization (1R, EntropyMinimization, ChiMerge, MD), and tool for explainable and interactive ML.

Paper list of Interactive Labeling Algorithm

User Modelling for Avoiding Overfitting in Interactive Knowledge Elicitation for Prediction

Risk Factor Analysis for Medical Data, Open-source Machine Learning Platform

Sample Review & Feature Selection for Audio Datasets

Group project at Augsburg University

An R Shiny Application that let's users get inference from the data by the auto-generated visualizations and control, train and evaluate different ML models on the selected data.

Interactive feature selection web application

Teach an ML model to read your gestures in your web browser

Interactive Machine Learning for ScratchX

A Django web app for visualizing an RL model learning to build a bridge and make it home.

DrCaptcha is an interactive machine learning application. The purpose of the program is to the feedback provided by users, and to use it to optimize a machine learning model. The purpose of this model is to recognize handwritten letters and numbers.

Free amino acids in African indigenous vegetables: Analysis with improved HILIC-UHPLC-QqQ-MS/MS and interactive machine learning

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My bachelor thesis, where I finetuned CLIP on the WikiArt dataset to distinguish portraits from landscapes

Implementation of "GrabCut": interactive foreground extraction using iterated graph cuts", in MATLAB