geoopt
pennylane
geoopt | pennylane | |
---|---|---|
2 | 3 | |
811 | 2,155 | |
2.2% | 1.9% | |
4.3 | 9.8 | |
about 2 months ago | 4 days ago | |
Python | Python | |
GNU General Public License v3.0 or later | Apache License 2.0 |
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geoopt
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A walk through of the functions used in "A Universal Model for Hyperbolic, Euclidean and Spherical Geometries" (the κ-Stereographic Model)
Looking at geoopt/manifolds/stereographic/math.py and trying to learn about hyperbolic geometry as I go, wondering if you could add some commentary to the functions. If anyone is in the mood to teach, I am all ears :). I can prompt with some questions, hopefully that will help clarify what is confusing or hard to understand for a newcomer.
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Introducing Hyperlib: Simple Deep learning in Hyperbolic space [project]
Can you expand on this? What other toolkits already exist and how does yours solve the problems you saw in those frameworks? For example, maybe compare with https://github.com/geoopt/geoopt for one?
pennylane
- PennyLane: Python library for differentiable programming of quantum computers
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Library for Machine learning and quantum computing
Pennylane
- 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
What are some alternatives?
hyperlib - Library that contains implementations of machine learning components in the hyperbolic space
qiskit-ibm-provider - Qiskit Provider for accessing the IBM Quantum Services: Online Systems and Simulators
ADCME.jl - Automatic Differentiation Library for Computational and Mathematical Engineering
Cirq - A python framework for creating, editing, and invoking Noisy Intermediate Scale Quantum (NISQ) circuits.
machine_learning_refined - Notes, examples, and Python demos for the 2nd edition of the textbook "Machine Learning Refined" (published by Cambridge University Press).
d2l-en - Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
foolbox - A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX
ivy - The Unified Machine Learning Framework [Moved to: https://github.com/unifyai/ivy]
qiskit-ibm-runtime - IBM Client for Qiskit Runtime
jaxopt - Hardware accelerated, batchable and differentiable optimizers in JAX.
mitiq - Mitiq is an open source toolkit for implementing error mitigation techniques on most current intermediate-scale quantum computers.
QMLDocker - A docker container for quantum machine learning (QML) research