memoized_coduals VS pennylane

Compare memoized_coduals vs pennylane and see what are their differences.

memoized_coduals

Shows that it is possible to implement reverse mode autodiff using a variation on the dual numbers called the codual numbers (by wlad-svennik)
Autodiff automatic-differentiation Research dual-numbers plt
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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. (by PennyLaneAI)
Quantum Machine Learning Deep Learning neural-network Optimization quantum-computing quantum-machine-learning automatic-differentiation Tensorflow Pytorch Autograd Qiskit cirq strawberryfields differentiable-computing quantum-chemistry Qml Jax Python HacktoberFest
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pennylane.ai
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memoized_coduals pennylane
2 3
3 2,124
- 1.9%
2.6 9.8
over 2 years ago 3 days ago
Python Python
- 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.
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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.

memoized_coduals

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

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 memoized_coduals and pennylane you can also consider the following projects:

contextualise - Contextualise is an effective tool particularly suited for organising information-heavy projects and activities consisting of unstructured and widely diverse data and information resources

qiskit-ibm-provider - Qiskit Provider for accessing the IBM Quantum Services: Online Systems and Simulators

SmallPebble - Minimal deep learning library written from scratch in Python, using NumPy/CuPy.

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.

memoized_coduals vs contextualise pennylane vs qiskit-ibm-provider memoized_coduals vs SmallPebble pennylane vs ADCME.jl pennylane vs Cirq pennylane vs machine_learning_refined pennylane vs d2l-en pennylane vs foolbox pennylane vs ivy pennylane vs qiskit-ibm-runtime pennylane vs jaxopt pennylane vs mitiq