Machine Learning for Computer Security
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Updated
Jan 6, 2022 - Python
Machine Learning for Computer Security
data-to-paper: Backward-traceable AI-driven scientific research
Interactive Neural Machine Translation tool
Interesting resources related to Explainable Artificial Intelligence, Interpretable Machine Learning, Interactive Machine Learning, Human in Loop and Visual Analytics.
Peax is a tool for interactive visual pattern search and exploration in epigenomic data based on unsupervised representation learning with autoencoders
RootPainter: Deep Learning Segmentation of Biological Images with Corrective Annotation
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.
RootPainter3D: Interactive-machine-learning enables rapid and accurate contouring for radiotherapy
Personalized Training for the Sequence Learning task with the NAO robot and the MUSE EEG sensor
An Interactive Machine Learning Toolkit
Interactive multimedia captioning with Keras
Teach an ML model to read your gestures in your web browser
Rough set and machine learning data structures, algorithms and tools, including algorithms for discernibility matrix, reducts, decision rules, classification (RoughSet, KNN, RIONIDA, AQ15, C4.5, SVM, NeuralNetwork and many others), discretization (1R, Entropy Minimization, ChiMerge, MD), and tool for interactive and explainable machine learning.
A system for building labeling tools
RapidLib is a lightweight library for interactive machine learning.
Paper list of Interactive Labeling Algorithm
Interactive Machine Learning for ScratchX
Group project at Augsburg University
A two-way interactive app teaches user to draw and machine to learn
User Modelling for Avoiding Overfitting in Interactive Knowledge Elicitation for Prediction
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