Rust accelerated contraction ordering primitives for tensor networks and einsums
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Updated
May 8, 2024 - Rust
Rust accelerated contraction ordering primitives for tensor networks and einsums
RUNE: RUsty Neural Engine
ndtensor is designed to be a flexible and powerful tensor library for Rust
Automatic differentiation for tensor operations
Neural networks & AI project
Acme aims to be a complete auto differentiation system written in Rust.
DEPRECATED: this repo has been moved into https://github.com/dmlc/tvm/blob/master/rust
An animal can do training and inference every day of its existence until the day of its death. A forward pass is all you need.
DLPack safe Rust binding
This is a rust implementation of tensorflow obviously it's not as advanced but it gets the job done 😅
A neural network, and tensor dynamic automatic differentiation implementation for Rust.
A Rust Library for High-Performance Tensor Exchange with Python
Simplistic API for deep learning tensor operations
N-dimensional matrix class for Rust
l2 is a fast, Pytorch-style Tensor+Autograd library written in Rust
Tensors and differentiable operations (like TensorFlow) in Rust
Deep learning in Rust, with shape checked tensors and neural networks
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