Abstract: sQUlearn introduces a user-friendly, noisy intermediate-scale quantum (NISQ)-ready Python library for quantum machine learning (QML), designed for seamless integration with classical machine ...

Abstract: With the rapid development of open-source communities, code reuse in Python projects is increasingly common. Developers heavily rely on third-party libraries from the Python central ...

Dave C. Swalm School of Chemical Engineering and Center for Advanced Vehicular Systems, Mississippi State University, Mississippi State, Mississippi 39762, United States Department of Chemical and ...

oLLM is a lightweight Python library built on top of Huggingface Transformers and PyTorch and runs large-context Transformers on NVIDIA GPUs by aggressively offloading weights and KV-cache to fast ...

In 2005, Travis Oliphant was an information scientist working on medical and biological imaging at Brigham Young University in Provo, Utah, when he began work on NumPy, a library that has become a ...

TorchQC is a Python library that is based on the PyTorch deep learning library. Quantum operations and dynamics are entirely implemented using the PyTorch tensor mechanism. This makes all generated ...

If you’re learning machine learning with Python, chances are you’ll come across Scikit-learn. Often described as “Machine Learning in Python,” Scikit-learn is one of the most widely used open-source ...

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Your browser does not support the audio element. Last month, I was debugging a particularly nasty data processing script that was taking 4 hours to run. Four. Hours ...