Software Alternatives & Reviews

Audulus VS TensorFlow

Compare Audulus VS TensorFlow and see what are their differences

Audulus logo Audulus

A universe of sound at your fingertips - Audulus is a modular music processing app

TensorFlow logo TensorFlow

TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.
  • Audulus Landing page
    Landing page //
    2023-07-20
  • TensorFlow Landing page
    Landing page //
    2023-06-19

Audulus videos

Audulus 3 Modular Synthesizer App Review for iOS

More videos:

  • Demo - Let’s Play With AUDULUS 3 - This is NOT a Tutorial, It’s a Celebration of Genius - iPad Demo
  • Review - So You Just Got Audulus... - Making Your First Patch in Audulus 3 5

TensorFlow videos

What is Tensorflow? - Learn Tensorflow for Machine Learning and Neural Networks

More videos:

  • Tutorial - TensorFlow In 10 Minutes | TensorFlow Tutorial For Beginners | Deep Learning & TensorFlow | Edureka
  • Review - TensorFlow in 5 Minutes (tutorial)

Category Popularity

0-100% (relative to Audulus and TensorFlow)
Music
100 100%
0% 0
Data Science And Machine Learning
Audio & Music
100 100%
0% 0
AI
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Audulus and TensorFlow

Audulus Reviews

We have no reviews of Audulus yet.
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TensorFlow Reviews

7 Best Computer Vision Development Libraries in 2024
From the widespread adoption of OpenCV with its extensive algorithmic support to TensorFlow's role in machine learning-driven applications, these libraries play a vital role in real-world applications such as object detection, facial recognition, and image segmentation.
10 Python Libraries for Computer Vision
TensorFlow and Keras are widely used libraries for machine learning, but they also offer excellent support for computer vision tasks. TensorFlow provides pre-trained models like Inception and ResNet for image classification, while Keras simplifies the process of building, training, and evaluating deep learning models.
Source: clouddevs.com
25 Python Frameworks to Master
Keras is a high-level deep-learning framework capable of running on top of TensorFlow, Theano, and CNTK. It was developed by François Chollet in 2015 and is designed to provide a simple and user-friendly interface for building and training deep learning models.
Source: kinsta.com
Top 8 Alternatives to OpenCV for Computer Vision and Image Processing
TensorFlow is an open-source software library for dataflow and differentiable programming across a range of tasks such as machine learning, computer vision, and natural language processing. It provides excellent support for deep learning models and is widely used in several industries. TensorFlow offers several pre-trained models for image classification, object detection,...
Source: www.uubyte.com
PyTorch vs TensorFlow in 2022
There are a couple of notable exceptions to this rule, the most notable being that those in Reinforcement Learning should consider using TensorFlow. TensorFlow has a native Agents library for Reinforcement Learning, and Deepmind’s Acme framework is implemented in TensorFlow. OpenAI’s Baselines model repository is also implemented in TensorFlow, although OpenAI’s Gym can be...

Social recommendations and mentions

Audulus might be a bit more popular than TensorFlow. We know about 10 links to it since March 2021 and only 7 links to TensorFlow. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Audulus mentions (10)

  • Egui 0.27 – easy-to-use immediate mode GUI for Rust
    Under disadvantages: > You can also call the layout code twice (once to get the size, once to do the interaction), but that is not only more expensive, it's also complex to implement, and in some cases twice is not enough. Egui never does this. I've found multi-pass imgui to work totally fine, and I use it for one of my apps [1]. I can support hstack and vstack layouts which IIRC egui can't. There is added expense... - Source: Hacker News / about 1 month ago
  • SwiftUI Is Convenient, but Slow
    The article matches my experience with SwiftUI [1][2]. For example, AFAICT, it's not really possible to write a usable node-graph editor using SwiftUI due to layout and dependency analysis overhead. You have to put the entire node graph inside a Canvas and do your own event handling, which is what we did here [3]. UIKit and AppKit aren't slow though, and Apple has every incentive to make this faster (they wrote... - Source: Hacker News / 8 months ago
  • Do you know any software synths that accept math equations as sources for generating waveforms?
    This is from 2013. The current version of Audulus can easily generate a waveform from an equation https://audulus.com. Source: 11 months ago
  • Lua: The Little Language That Could
    I'm currently using Lua as an extension language in my app. Users can write their own custom UIs and DSP code. https://audulus.com. - Source: Hacker News / 11 months ago
  • New DSP Pedal Platform
    For some interesting ideas on the SW end, you might find it interesting to get some ideas from Audulus… https://audulus.com/. Source: about 1 year ago
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TensorFlow mentions (7)

  • Creating Image Frames from Videos for Deep Learning Models
    Converting the images to a tensor: Deep learning models work with tensors, so the images should be converted to tensors. This can be done using the to_tensor function from the PyTorch library or convert_to_tensor from the Tensorflow library. - Source: dev.to / about 1 year ago
  • Need help with a Tensorflow function
    So I went to tensorflow.org to find some function that can generate a CSR representation of a matrix, and I found this function https://www.tensorflow.org/api_docs/python/tf/raw_ops/DenseToCSRSparseMatrix. Source: almost 2 years ago
  • Help: Slow performance with windows 10 compared to Ubuntu 20.04 with TF2.7
    Can anyone offer up an explanation for why there is a performance difference, and if possible, what could be done to fix it. I'm using the installation guidelines found on tensorflow.org and installing tf2.7 through pip using an anaconda3 env. Source: almost 2 years ago
  • [Question] What are the best tutorials and resources for implementing NLP techniques on TensorFlow?
    I don't have much experience with TensorFlow, but I'd recommend starting with TensorFlow.org. Source: about 2 years ago
  • [Question] What are the best tutorials and resources for implementing NLP techniques on TensorFlow?
    I have looked at this TensorFlow website and TensorFlow.org and some of the examples are written by others, and it seems that I am stuck in RNNs. What is the best way to install TensorFlow, to follow the documentation and learn the methods in RNNs in Python? Is there a good tutorial/resource? Source: about 2 years ago
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What are some alternatives?

When comparing Audulus and TensorFlow, you can also consider the following products

BeatStyle - A mobile recording studio!

PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...

VOXISO - Online AI-powered vocal and music remover

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

Melody ML - Easily separate audio tracks using machine learning

Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.