elkai VS pennylane

Compare elkai vs pennylane and see what are their differences.

elkai

elkai is a Python library for solving travelling salesman problems (TSP) based on LKH 3 (by filipArena)
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elkai pennylane
3 2
161 2,117
- 1.4%
6.5 9.8
12 months ago 1 day ago
Python Python
GNU General Public License v3.0 or later Apache License 2.0
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.

elkai

Posts with mentions or reviews of elkai. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-01-23.

pennylane

Posts with mentions or reviews of pennylane. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-04-27.

What are some alternatives?

When comparing elkai and pennylane you can also consider the following projects:

tree - tree is a library for working with nested data structures

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