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Learn interactive machine learning to build new musical instruments, gestural game controllers, computer vision/computer audition systems, and more.

Wekinator is a free, open-source software tool for interactive machine learning. It allows users to create new musical instruments, gestural game controllers, computer vision/computer audition systems, and other interactive systems by learning from examples. The software is built on the principle of using machine learning as a creative tool, enabling artists, designers, and researchers to explore new forms of expression and interaction. Wekinator supports a variety of input and output types, including OSC (Open Sound Control), MIDI, and computer vision data. Its architecture centers around real-time learning, allowing users to train models iteratively and experiment with different algorithms. The software's value proposition lies in its accessibility and ease of use, making machine learning techniques available to a broad audience without requiring extensive programming knowledge.
Wekinator is a free, open-source software tool for interactive machine learning.
Explore all tools that specialize in gesture recognition. This domain focus ensures Wekinator delivers optimized results for this specific requirement.
Allows iterative training and refinement of machine learning models in real time, providing immediate feedback and enabling interactive exploration.
Provides seamless integration with Open Sound Control (OSC) and MIDI devices, enabling users to connect various hardware and software components.
Supports the use of computer vision data as input, allowing for the creation of gestural interfaces and interactive installations that respond to movement and visual cues.
Incorporates various machine learning algorithms, including regression, classification, and dimensionality reduction techniques, allowing users to select the most appropriate model for their specific needs.
Wekinator is released under an open-source license, allowing users to modify and extend the software to meet their specific requirements.
Download and install Wekinator from the official website.
Configure your input sources (e.g., MIDI controller, OSC data).
Define the input features in Wekinator.
Map input features to desired output controls.
Record examples of input-output mappings.
Train a machine learning model using the recorded examples.
Test and refine the model in real-time.
Export the trained model for use in other applications or environments.
All Set
Ready to go
Verified feedback from other users.
"Users praise Wekinator for its ease of use, flexibility, and ability to create interactive systems without extensive programming knowledge."
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