QuantumKatas
interactive_tutorials
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| QuantumKatas | interactive_tutorials | |
|---|---|---|
| 5 | 1 | |
| 4,463 | 85 | |
| 0.6% | - | |
| 5.5 | 6.7 | |
| 15 days ago | 25 days ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT License | - |
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QuantumKatas
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Ask HN: Why am I suddenly unemployable?
https://github.com/microsoft/QuantumKatas (this one can be run locally for learning purposes using Jupter notebooks)
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Qubits Effect?
Source ( viewed on safari ) : QuantumKatas
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Question on complex powers of real numbers from Microsoft Quantum Katas tutorial
In excercise 8 of https://github.com/microsoft/QuantumKatas/tree/main/tutorials/ComplexArithmetic, the goal is: Return the complex number 𝑟^𝑥=𝑟^(𝑎+𝑏𝑖) as 𝑔+ℎ𝑖
- Quantum Katas
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What are some good courses for quantum machine learning?
i'm still new to this as well after finishing the course from hackaday,I went through the quantum kata coding examples from Microsoft https://github.com/Microsoft/QuantumKatas
interactive_tutorials
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Google open-sources their graph mining library
For those wanting to play with graphs and ML I was browsing the arangodb docs recently and I saw that it includes integrations to various graph libraries and machine learning frameworks [1]. I also saw a few jupyter notebooks dealing with machine learning from graphs [2].
Integrations include:
* NetworkX -- https://networkx.org/
* DeepGraphLibrary -- https://www.dgl.ai/
* cuGraph (Rapids.ai Graph) -- https://docs.rapids.ai/api/cugraph/stable/
* PyG (PyTorch Geometric) -- https://pytorch-geometric.readthedocs.io/en/latest/
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1: https://docs.arangodb.com/3.11/data-science/adapters/
2: https://github.com/arangodb/interactive_tutorials#machine-le...
What are some alternatives?
PySyft - Perform data science on data that remains in someone else's server
danbooru - A taggable image board written in Rails.
qiskit-textbook - A university quantum algorithms/computation course supplement based on Qiskit
NetworkX - Network Analysis in Python
cortx - CORTX Community Object Storage is 100% open source object storage uniquely optimized for mass capacity storage devices.
evidently - Evaluate and monitor ML models from validation to production. Join our Discord: https://discord.com/invite/xZjKRaNp8b
blog - Public repo for HF blog posts
Human-pose-estimation - A quick tutorial on multi-pose estimation with OpenCV, Tensorflow and MoveNet lightning.
AIrsenal - Machine learning Fantasy Premier League team
graph-mining
pytket-docs - User manual and example notebooks for the pytket quantum SDK
PyCBC-Tutorials - Learn how to use PyCBC to analyze gravitational-wave data and do parameter inference.