These open-source MMM tools solve different measurement problems, from budget optimization to forecasting and preprocessing.
A comprehensive Python framework designed for exploring the loss landscapes of deep learning models.
Landscaper is available on PyPI, making it easy to install and integrate into your projects. @misc{https://doi.org/10.5281/zenodo.15874987, doi = {10.5281/ZENODO ...
When Apple released iOS 18.4 to everyone earlier this year, it came with a big upgrade to the Home app. Users can now add robot vacuums to HomeKit for the first time thanks to the Matter smart home ...
Abstract: Learning from demonstration (LfD) can be used to increase the behavioural repertoire of a robot, but most demonstration-based learning techniques do not enable a robot to acquire knowledge ...
Abstract: Recent success in legged robot locomotion is attributed to the integration of reinforcement learning and physical simulators. However, these policies often encounter challenges when deployed ...
Below is an example of a Python-defined pipeline that mirrors what most teams use in production — build, lint, test, coverage, and deploy — all orchestrated through pygha. --src-dir: Source directory ...
When a robot cop tells you to stop, do you listen? China is now finding out Hangzhou is the latest city in China to take traffic control to a new level, rolling out a new AI-powered robot police ...
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