Perceptrons VS nv-wavenet

Compare Perceptrons vs nv-wavenet and see what are their differences.

nv-wavenet

Reference implementation of real-time autoregressive wavenet inference (by NVIDIA)
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Perceptrons nv-wavenet
3 2
22 700
- -
6.2 0.0
6 months ago over 3 years ago
Rust Cuda
MIT License BSD 3-clause "New" or "Revised" License
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.

Perceptrons

Posts with mentions or reviews of Perceptrons. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-06-19.

nv-wavenet

Posts with mentions or reviews of nv-wavenet. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-06-19.
  • Rust for ML?
    4 projects | /r/rust | 19 Jun 2023
    At some point I started learning CUDA because I wanted to build a memory resident version of Wavenet (because the auto-regression of the original formulation made it to slow that it took minutes for a few seconds of audio on GPU). But before I even started the project itself there was already https://github.com/NVIDIA/nv-wavenet and even more - GAN-based models which were running on CPU in realtime without any specific tuning.
  • Why do I not see performance increases with more GPUs?
    3 projects | /r/tensorflow | 14 Oct 2021
    Which implementation are you using? Did you try nv-wavenet from Nvidia? Check point 4 under "Try it" here

What are some alternatives?

When comparing Perceptrons and nv-wavenet you can also consider the following projects:

Rust_RL - A Reinforcement Learning / Neural Network library, written in Rust.

tensorflow-wavenet - A TensorFlow implementation of DeepMind's WaveNet paper

Rust-Keras-Like - pure rust implementaion for deep learning library like keras

WaveNet - Colab for WaveNet.

neural_networks_rust - A Deep Learning and preprocessing framework in Rust with support for CPU and GPU. [Moved to: https://github.com/AnicetNgrt/jiro-nn]

static-la - A linear algebra library with excellent type safety.

the-algorithm