Rust-Keras-Like
pure rust implementaion for deep learning library like keras (by AhmedBoin)
nv-wavenet
Reference implementation of real-time autoregressive wavenet inference (by NVIDIA)
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| Rust-Keras-Like | nv-wavenet | |
|---|---|---|
| 3 | 2 | |
| 55 | 700 | |
| - | - | |
| 10.0 | 0.0 | |
| over 1 year ago | over 3 years ago | |
| Rust | Cuda | |
| Mozilla Public License 2.0 | 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.
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.
Rust-Keras-Like
Posts with mentions or reviews of Rust-Keras-Like.
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.
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Rust for ML?
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.
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Why do I not see performance increases with more GPUs?
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 Rust-Keras-Like 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
Perceptrons
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]
the-algorithm
rust-ndarray - ndarray: an N-dimensional array with array views, multidimensional slicing, and efficient operations
dfdx - Deep learning in Rust, with shape checked tensors and neural networks
static-la - A linear algebra library with excellent type safety.
Rust-Keras-Like vs Rust_RL
nv-wavenet vs tensorflow-wavenet
Rust-Keras-Like vs Perceptrons
nv-wavenet vs WaveNet
Rust-Keras-Like vs neural_networks_rust
nv-wavenet vs Perceptrons
Rust-Keras-Like vs the-algorithm
nv-wavenet vs the-algorithm
Rust-Keras-Like vs rust-ndarray
Rust-Keras-Like vs dfdx
Rust-Keras-Like vs static-la