qilahyana/training_combine is an open-source imitation-learning model designed for robotics applications. It predicts short action chunks from teleoperated data, enabling more efficient policy training and deployment. It is intended for robotics researchers and developers working with LeRobot or similar frameworks.
Training Combine sits in PulseGate's Other AI category. It enables developers to train and deploy robotics policies that predict action chunks from teleoperated data. Training Combine is an open-source project aimed at robotics researchers. The project is open source (Apache-2.0). Training Combine is available on the web, API, and the command line.
Behind Training Combine is qilahyana, and the product first shipped in 2024. The project is developed in the open on GitHub with 25.8k stars and 155 commits in the last 90 days. Among its 5 catalogued features are imitation learning, action chunking, and robotics policy.
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