ivy VS pennylane

Compare ivy vs pennylane and see what are their differences.

ivy

The Unified Machine Learning Framework [Moved to: https://github.com/unifyai/ivy] (by ivy-dl)
Python Machine Learning Deep Learning neural-network GPU Autograd Ivy Abstraction Template Tensorflow Pytorch Mxnet Numpy Jax

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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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ivy pennylane
1 3
10,475 2,124
- 1.9%
10.0 9.8
about 1 year ago about 21 hours 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.

ivy

Posts with mentions or reviews of ivy. We have used some of these posts to build our list of alternatives and similar projects.
  • Need internship/part time role in AI/ML/Data Science field.
    1 project | /r/jobs | 29 Apr 2023
    As a volunteer developer at Ivy, I also been actively contributing to the project for several months now. I extended the Ivy Functional API by adding some linear algebra functions - matrix_exp (https://github.com/ivy-dl/ivy/blob/dev/ivy/linalg/matrix_exp.py) and diff (https://github.com/ivy-dl/ivy/blob/dev/ivy/linalg/diff.py) - to all four popular deep learning frameworks: NumPy, TensorFlow, PyTorch, and JAX. These functions allowed developers to perform matrix exponentiation and differentiation operations more efficiently and easily using any of these frameworks.

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 ivy and pennylane you can also consider the following projects:

machine_learning_refined - Notes, examples, and Python demos for the 2nd edition of the textbook "Machine Learning Refined" (published by Cambridge University Press).

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

tensorboardX - tensorboard for pytorch (and chainer, mxnet, numpy, ...)

ADCME.jl - Automatic Differentiation Library for Computational and Mathematical Engineering

foolbox - A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX

Cirq - A python framework for creating, editing, and invoking Noisy Intermediate Scale Quantum (NISQ) circuits.

tensor-sensor - The goal of this library is to generate more helpful exception messages for matrix algebra expressions for numpy, pytorch, jax, tensorflow, keras, fastai.

leptonai - A Pythonic framework to simplify AI service building

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.

PDEBench - PDEBench: An Extensive Benchmark for Scientific Machine Learning

ivy vs machine_learning_refined pennylane vs qiskit-ibm-provider ivy vs tensorboardX pennylane vs ADCME.jl ivy vs foolbox pennylane vs Cirq ivy vs tensor-sensor pennylane vs machine_learning_refined ivy vs leptonai pennylane vs d2l-en ivy vs PDEBench pennylane vs foolbox