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Neural Networks
Consistent with deep learning trends, the Rust community has built several neural network libraries.
Taking a page from python’s scikit-learn project, rusty-machine is a major ML crate in the Rust ecosystem. It also powers Learning Machines, a set of interactive tutorials on machine learning, and this presentation provides a solid introduction.
Juice is a forked attempt to revive Leaf which was a deep learning framework that made a huge splash in the community before being orphaned.
And of course, there are Tensorflow bindings.
Other neural network libraries have been created but are often experimental. Some of the projects listed here appear to be inactive, but are still listed to serve as an inspiration for any future projects.
leaf [ crate · repo · docs ]
Machine Learning Framework for Hackers
tensorflow [ crate · repo · docs ]
Rust language bindings for TensorFlow.
rusty-machine [ crate · repo · docs ]
A machine learning library.
tch [ crate · repo · docs ]
Rust wrappers for the PyTorch C++ api (libtorch).
juice [ crate · repo · docs ]
Machine Learning Framework for Hackers
nn [ crate · repo · docs ]
A multilayer feedforward backpropagation neural network library
tedsta/deeplearn-rs [ repo · ]
Deep neural networks in Rust
autograd [ crate · repo · docs ]
Tensors and differentiable operations in Rust
autograph [ crate · repo · docs ]
Machine Learning Library for Rust
torchrs/torchrs [ repo · ]
Torch.rs (torturous) is a set of Rust bindings for torch intended to provide an API very close to that of PyTorch.
hal-ml [ crate · repo · docs ]
HAL: a machine learning library that is able to run on Nvidia, OpenCL or CPU BLAS based compute backends. It currently provides stackable classical neural networks, RNN's and soon to be LSTM's. A differentiation of this package is that we are looking to implement RTRL (instead of just BPTT) for the recurrent layers in order to provide a solid framework for online learning. We will also (in the future) be implementing various layers such as unitary RNN's, NTM's and Adaptive Computation time based LSTM's. HAL also comes with the ability to plot and do many basic math operations on arrays.
alumina [ crate · repo · docs ]
An Experimental Deep Learning Library
neuroflow [ crate · repo · docs ]
The neural network library implemented in Rust
rustml [ crate · repo · docs ]
A library for doing maching learning in Rust.
prophet [ crate · repo · docs ]
A neural network implementation with a focus on cache-efficiency and sequential performance.
tflite [ crate · repo · docs ]
Rust bindings for TensorFlow Lite
cntk [ crate · repo · docs ]
Wrapper around Microsoft CNTK library
cogent [ crate · repo · docs ]
Basic neural network library for classification.
revonet [ crate · repo · docs ]
Rust implementation of real-coded genetic algorithm for solving optimization problems and training of neural networks. The latter is also known as neuroevolution.
fann [ crate · repo · docs ]
Wrapper for the Fast Artificial Neural Networks library
tvm [ crate · repo · docs ]
TVM Rust runtime
drug [ crate · repo · docs ]
A differentiable computation graph for neural networks.
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