fastaudio VS ivy

Compare fastaudio vs ivy and see what are their differences.

ivy

The Unified Machine Learning Framework [Moved to: https://github.com/unifyai/ivy] (by ivy-dl)
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fastaudio ivy
1 1
165 10,475
0.6% -
0.0 10.0
5 months ago about 1 year ago
Python Python
MIT License GNU General Public License v3.0 or later
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.

fastaudio

Posts with mentions or reviews of fastaudio. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-06-18.

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.

What are some alternatives?

When comparing fastaudio and ivy you can also consider the following projects:

pytorch-forecasting - Time series forecasting with PyTorch

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

TransformerEngine - A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit floating point (FP8) precision on Hopper and Ada GPUs, to provide better performance with lower memory utilization in both training and inference.

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

RealCatTranslator - Project in several phases to ultimately built an app that translate from human to cats and cats to human using deep learning algorithm

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

ivy - The Unified AI Framework

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.

fps_highlights - Make beautiful highlights from FPS vidéos

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

PDEBench - PDEBench: An Extensive Benchmark for Scientific Machine Learning