semvec/pypi-packages huggingface dataset:
qcpu-areeq 0.0.1
qcpu is a software development kit for designing, building, and testing parameterized quantum circuits that accept quantum programs (sets of quantum instructions) as input and return the result of executing said quantum instructions as output.
Requires Python: >=3.9

# qcpu

**qcpu** is a software development kit for designing, building, and testing parameterized quantum circuits that accept *quantum programs* (sets of *quantum instructions*) as input and return the result of executing said instructions as output.
qcpu 0.0.1
qcpu is a software development kit for designing, building, and testing parameterized quantum circuits that accept quantum programs (sets of quantum instructions) as input and return the result of executing said quantum instructions as output.
Requires Python: >=3.9

# qcpu

**qcpu** is a software development kit for designing, building, and testing parameterized quantum circuits that accept *quantum programs* (sets of *quantum instructions*) as input and return the result of executing said instructions as output.
crossedwires 0.0.7
CrossedWires: An Inter-framework ModelDivergence Dataset Generated using HyperparameterOptimization
Requires Python: >=3.6
Keywords: pytorch,tensorflow,hpo,accuracy

# CrossedWires
Welcome to the CrossedWires dataset. This is a Python package used in order to interact with our data, hosted on Google Cloud storage. 

All documentation on how to use the dataset and how to contribute can be found at: <https://crossedwires.readthedocs.io>. 

If you wish to download the entire dataset as a zip file, you are welcome to do so using this link: 
<https://storage.googleapis.com/crossed-wires-dataset/full_cifar10_results.zip>

The dataset is 324 GB compressed and 340 GB expanded. 

The dataset itself is licensed under CC-BY-4.0. 

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