|almost 2 years ago||about 2 months ago|
|MIT License||BSD 2-clause "Simplified" License|
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: Rust neural network/dynamic automatic differentiation library I have been working on
3 projects | /r/rust | 6 Apr 2021
Fully-connected neural network: https://github.com/patricksongzy/corgi/blob/main/src/dense.rs
What are some alternatives?
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.