Microsoft is expanding its quantum software stack with new developer tools designed to make quantum application development more accessible, while laying the groundwork for fault-tolerant quantum ...
Abstract: Jupyter notebooks have become central in data science, integrating code, text and output in a flexible environment. With the rise of machine learning (ML), notebooks are increasingly used ...
Abstract: Data-driven Quality of Experience (QoE) modeling using Machine Learning (ML) is a key enabler for future communication networks as it allows accelerated and unbiased QoE modeling while ...
How to use Marimo, a better Jupyter-like notebook system for Python Jupyter Notebooks may be a familiar and powerful tool for data science, but its shortcomings can be irksome. Marimo offers a Jupyter ...
pySDC is a mathematical library for spectral deferred correction (SDC) time-stepping methods and its flavors, esp. the multilevel extension MLSDC and the parallel-in-time integrator PFASST. It is ...
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The idea of this project is creating a more flexible tool for testing, learning machine learning algorithms by combining the strength of [MOA](https://moa.cms.waikato ...
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