corgi
A neural network, and tensor dynamic automatic differentiation implementation for Rust. (by patricksongzy)
DiffSharp
DiffSharp: Differentiable Functional Programming (by DiffSharp)
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| corgi | DiffSharp | |
|---|---|---|
| 2 | 2 | |
| 23 | 532 | |
| - | 1.1% | |
| 0.0 | 0.0 | |
| almost 2 years ago | about 2 months ago | |
| Rust | F# | |
| MIT License | BSD 2-clause "Simplified" 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.
corgi
Posts with mentions or reviews of corgi.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-04-06.
-
Corgi: Rust neural network/dynamic automatic differentiation library I have been working on
Fully-connected neural network: https://github.com/patricksongzy/corgi/blob/main/src/dense.rs
DiffSharp
Posts with mentions or reviews of DiffSharp.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-04-22.
-
Neural Networks Fsharp
Yes. You can use TensorFlow.NET or DiffSharp.
What are some alternatives?
When comparing corgi and DiffSharp you can also consider the following projects:
TensorFlow.NET - .NET Standard bindings for Google's TensorFlow for developing, training and deploying Machine Learning models in C# and F#.
Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration
dfdx - Deep learning in Rust, with shape checked tensors and neural networks
autograd-rs - An autograd implementation in Rust
ocaml-torch - OCaml bindings for PyTorch
Java-Machine-Learning - Deep learning library for Java, with fully connected, convolutional, and recurrent layers. Also features many gradient descent optimization algorithms.
hyperlearn - 2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.