qc-tutorial VS QMLDocker

Compare qc-tutorial vs QMLDocker and see what are their differences.

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qc-tutorial QMLDocker
1 1
3 39
- -
4.2 2.6
3 months ago 12 months ago
Jupyter Notebook Jupyter Notebook
GNU Affero General Public License v3.0 GNU General Public License v3.0 only
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

qc-tutorial

Posts with mentions or reviews of qc-tutorial. We have used some of these posts to build our list of alternatives and similar projects.

QMLDocker

Posts with mentions or reviews of QMLDocker. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing qc-tutorial and QMLDocker you can also consider the following projects:

Human-pose-estimation - A quick tutorial on multi-pose estimation with OpenCV, Tensorflow and MoveNet lightning.

pytket-docs - User manual and example notebooks for the pytket quantum SDK

qiskit-textbook - A university quantum algorithms/computation course supplement based on Qiskit

EuroPython-21-QuantumDeepLearning - Materials and Resources for the EuroPython 21 Talk on "Introduction to Quantum Deep Learning" on 28/7/2021.

Quantum-Computing-Collection-Of-Resources - A Well Maintained Repository On Quantum Computing Resources [Code+Theory] Updated Regularly During My Time At IBM, Qubit x Qubit And The Coding School's Introduction To Quantum Computing Course '21

quantumcomputingsim - A library to simulate quantum computations

qiskit-tutorials - A collection of Jupyter notebooks showing how to use the Qiskit SDK

pennylane - PennyLane is a cross-platform Python library for differentiable programming of quantum computers. Train a quantum computer the same way as a neural network.

computervision-recipes - Best Practices, code samples, and documentation for Computer Vision.

polarization - A group for computer scientists and physicists with aspirations of becoming quantum scientists. Quantum computing, jobs, books and graduate school are amongst the topics covered.